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Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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1

Remote Sensing of Cloud Parameters  

Science Conference Proceedings (OSTI)

Day and night mapping of the global distributions of the horizontal cloud covers and the corresponding cloud-top pressure levels are derived from the same set of infrared radiance data used to retrieve clear-column temperature profiles. General ...

Moustafa T. Chahine

1982-01-01T23:59:59.000Z

2

Remote sensing of cirrus cloud particle size and optical depth using polarimetric sensor measurements  

E-Print Network (OSTI)

and J. Pelon, 1999b: Remote sensing of cirrus radiativepar- ticles: Remote sensing and climatic implications.S. C. Tsay, 1999: Remote sensing of cirrus cloud parameters

Ou, Szu-cheng C; Liou, K N; Takano, Y; Slonaker, R L

2005-01-01T23:59:59.000Z

3

ARM - Field Campaign - Remote Cloud Sensing (RCS) Field Evaluation  

NLE Websites -- All DOE Office Websites (Extended Search)

love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Remote Cloud Sensing (RCS) Field Evaluation 1994.04.01 - 1994.05.31 Lead Scientist :...

4

ARM - Field Campaign - Remote Cloud Sensing (RCS) Field Evaluation  

NLE Websites -- All DOE Office Websites (Extended Search)

love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Remote Cloud Sensing (RCS) Field Evaluation 1995.04.01 - 1995.05.31 Lead Scientist :...

5

Surface based remote sensing of aerosol-cloud interactions  

NLE Websites -- All DOE Office Websites (Extended Search)

Surface based remote sensing of aerosol-cloud interactions Surface based remote sensing of aerosol-cloud interactions Feingold, Graham NOAA/Environmental Technology Laboratory Frisch, Shelby NOAA/Environmental Technology Laboratory Min, Qilong State University of New York at Albany Category: Cloud Properties We will present an analysis of the effect of aerosol on clouds at the Southern Great Plains ARM site. New methods for retrieving cloud droplet effective radius with radar (MMCR), multifilter rotating shadowband radiometer (MFRSR), and microwave radiometer (MWR) will be discussed. Relationships based on adiabatic clouds will be used to constrain retrievals. We will investigate the use of a range of proxies for cloud condensation nuclei, ranging from surface measurements of light scattering and accumulation mode number concentration, to lidar-measured extinction or

6

Satellite Remote Sensing of Multiple Cloud Layers  

Science Conference Proceedings (OSTI)

The goals of the current study are threefold: 1) to present a multispectral, multiresolution (MSMR) methodology for analysis of scenes containing multiple cloud layers; 2) to apply the MSMR method to two multilevel cloud scenes recorded by the ...

B.A. Baum; T. Uttal; M. Poellot; T.P. Ackerman; J.M. Alvarez; J. Intrieri; D.O'C. Starr; J. Titlow; V. Tovinkere; E. Clothiaux

1995-12-01T23:59:59.000Z

7

Testing a Cloud Condensation Nuclei Remote Sensing Method  

NLE Websites -- All DOE Office Websites (Extended Search)

a Cloud Condensation Nuclei a Cloud Condensation Nuclei Remote Sensing Method S. J. Ghan Climate Physics Pacific Northwest National Laboratory Richland, Washington D. R. Collin Department of Atmospheric Sciences Texas A&M University College Station, Texas Introduction Under certain conditions vertical profiles of cloud condensation nuclei (CCN) spectra can be retrieved from ground-based measurements (Ghan and Collins 2003). Surface measurements of the CCN spectrum are scaled by the ratio of the 180 backscatter (or extinction) profile to the surface backscatter (or extinction). The backscatter (or extinction) profile is measured by Raman lidar (RL), and is corrected to dry conditions using the vertical profile of relative humidity (calculated from the absolute

8

The Prospect for Remote Sensing of Cirrus Clouds with a Submillimeter-Wave Spectrometer  

Science Conference Proceedings (OSTI)

Given the substantial radiative effects of cirrus clouds and the need to validate cirrus cloud mass in climate models, it is important to measure the global distribution of cirrus properties with satellite remote sensing. Existing cirrus remote ...

K. Franklin Evans; Aaron H. Evans; Ira G. Nolt; B. Thomas Marshall

1999-05-01T23:59:59.000Z

9

Testing a Cloud Condensation Nuclei Remote Sensing Method  

NLE Websites -- All DOE Office Websites (Extended Search)

a Cloud Condensation Nuclei a Cloud Condensation Nuclei Remote Sensing Method S. J. Ghan Climate Dynamics Group Pacific Northwest National Laboratory Richland, Washington Introduction Under certain conditions vertical profiles of cloud condensation nuclei (CCN) spectra can be retrieved from ground-based measurements. Surface measurements of the CCN spectrum are scaled by the ratio of the backscatter (or extinction) profile to the surface backscatter (or extinction). The backscatter (or extinction) profile is measured by Raman lidar, and is corrected to dry conditions using the vertical profile of relative humidity (also measured by Raman Lidar) and surface measurements of the dependence of backscatter (or extinction) on relative humidity. This method should be accurate up to

10

A Midlatitude Cirrus Cloud Climatology from the Facility for Atmospheric Remote Sensing. Part III: Radiative Properties  

Science Conference Proceedings (OSTI)

In Part III of a series of papers describing the extended time high-cloud observations from the University of Utah Facility for Atmospheric Remote Sensing (FARS) supporting the First International Satellite Cloud Climatology Project (ISCCP) ...

Kenneth Sassen; Jennifer M. Comstock

2001-08-01T23:59:59.000Z

11

Variability of Microphysical Parameters in High-Altitude Ice Clouds: Results of the Remote Sensing Method  

Science Conference Proceedings (OSTI)

The remote sensing method for retrieving vertical profiles of microphysical parameters in ice clouds from ground-based measurements taken by the Doppler radar and IR radiometer was applied to several cloud cases observed during different field ...

Sergey Y. Matrosov

1997-06-01T23:59:59.000Z

12

Mixed phase clouds, cloud electrification and remote sensing.  

SciTech Connect

Most of hypothesis trying to explain charge separation in thunderstorm clouds require presence of ice and supercooled water. Thus the existence of ice or at least mixed phase regions near cloud tops should be a necessary (but not a sufficient) condition for development of lightning. We show that multispectral satellite based instruments, like the DOE MTI (Multispectral Thermal Imager) or NASA MODIS (Moderate Resolution Imaging Spectroradiometer), using the near infrared and visible spectral bands are able to distinguish between water, ice and mixed phase cloud regions. An analysis of the MTI images of mixed phase clouds - with spatial resolution of about 20 m - shows regions of pure water, pure ice as well as regions of water/ice mixtures. We suggest that multispectral satellite instruments may be useful for a short time forecast of lightning probabilities.

Chylek, P. (Petr); Borel, C. C. (Christoph C.); Klett, James

2004-01-01T23:59:59.000Z

13

ARM - Evaluation Product - Active Remote Sensing of Clouds from Ka-band ARM  

NLE Websites -- All DOE Office Websites (Extended Search)

ProductsActive Remote Sensing of Clouds from Ka-band ProductsActive Remote Sensing of Clouds from Ka-band ARM Zenith Radars Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Active Remote Sensing of Clouds from Ka-band ARM Zenith Radars Site(s) GAN SGP General Description The Ka-band ARM Zenith Radars (KAZRs) have replaced the long-serving Millimeter Cloud Radars, or MMCRs. Accordingly, the primary MMCR Value Added Product (VAP), the Active Remote Sensing of CLouds (ARSCL) product, is being replaced by a KAZR-based version, the KAZR-ARSCL VAP. KAZR-ARSCL provides cloud boundaries and best-estimate time-height fields of radar moments. KAZR observations are corrected for water vapor attenuation and velocity aliasing and significant detection masks are produced. KAZR-ARSCL

14

Remote Sensing of Cirrus Cloud Particle Size and Optical Depth Using Polarimetric Sensor Measurements  

Science Conference Proceedings (OSTI)

This paper presents a conceptual approach toward the remote sensing of cirrus cloud particle size and optical depth using the degree of polarization and polarized reflectance associated with the first three Stokes parameters, I, Q, and U, for the ...

S. C. Ou; K. N. Liou; Y. Takano; R. L. Slonaker

2005-12-01T23:59:59.000Z

15

A Midlatitude Cirrus Cloud Climatology from the Facility for Atmospheric Remote Sensing. Part I: Macrophysical and Synoptic Properties  

Science Conference Proceedings (OSTI)

A uniquely extensive high cloud dataset has been collected from the University of Utah Facility for Atmospheric Remote Sensing in support of the First (ISCCP) International Satellite Cloud Climatology Project Regional Experiment extended time ...

Kenneth Sassen; James R. Campbell

2001-03-01T23:59:59.000Z

16

Aerosol Remote Sensing over Clouds Using A-Train Observations  

Science Conference Proceedings (OSTI)

The detection of aerosol above clouds is critical for the estimate of both the aerosol and cloud radiative impacts. In this study, the authors present a new method to retrieve the aerosol properties over clouds that uses the multiangle ...

F. Waquet; J. Riedi; L. C. Labonnote; P. Goloub; B. Cairns; J-L. Deuzé; D. Tanré

2009-08-01T23:59:59.000Z

17

Effective Radius of Cloud Droplets by Ground-Based Remote Sensing: Relationships to Aerosol?  

NLE Websites -- All DOE Office Websites (Extended Search)

Effective Radius of Cloud Droplets by Ground-Based Effective Radius of Cloud Droplets by Ground-Based Remote Sensing: Relationships to Aerosol? B.-G. Kim, S. E. Schwartz, and M. A. Miller Environmental Sciences Department Brookhaven National Laboratory Upton, New York Q.-L. Min Atmospheric Science Research Center State University of New York Albany, New York Introduction Aerosol Indirect Effect Increases in anthropogenic sources of cloud condensation nuclei can increase cloud albedo by increasing the concentration and reducing the size of cloud droplets, usually referred to as the indirect effect of aerosol on climate (Twomey 1977). However, the magnitudes of the various kinds of indirect forcing are particularly uncertain, because they involve subtle changes in cloud radiative properties and lifetimes

18

Modeling of Submillimeter Passive Remote Sensing of Cirrus Clouds  

Science Conference Proceedings (OSTI)

The scattering properties of cirrus clouds at submillimeter-wave frequencies are analyzed and characterized in this paper. This study lays a theoretical foundation for using radiometric measurements to investigate and monitor cirrus properties ...

K. Franklin Evans; Steven J. Walter; Andrew J. Heymsfield; Merritt N. Deeter

1998-02-01T23:59:59.000Z

19

A Global Determination of Cloud Microphysics with AVHRR Remote Sensing  

Science Conference Proceedings (OSTI)

An algorithm is developed for determining the cloud optical thickness and effective particle radius simultaneously on a global scale using Advanced Very High Resolution Radiometer (AVHRR) multispectral radiance data. In the algorithm, the ...

Kazuaki Kawamoto; Teruyuki Nakajima; Takashi Y. Nakajima

2001-05-01T23:59:59.000Z

20

Artificial Bubble Cloud Targets for Underwater Acoustic Remote Sensing  

Science Conference Proceedings (OSTI)

This article describes a technique that uses polymer additives to suspend air bubbles to form stable artificial bubble clouds. The results presented include the range of polymer concentrations for an effective bubble suspension; the void fraction,...

Paul A. Hwang; Ronald A. Roy; Lawrence A. Crum

1995-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Remote Sensing  

E-Print Network (OSTI)

Evaluating ecological patterns and processes is crucial for the conservation of ecosystems [1]. In this view, remote sensing is a powerful tool for monitoring their status and change. This involves several tasks like biodiversity estimate, landscape ecology, and species distribution modeling, to name a few [2]. Due to the difficulties associated with field-based data collection [3], the use of remote sensing for estimating ecological status and change is promising since it provides a synoptic view of an area with a high temporal resolution [4]. Of course in some cases remote sensing should be viewed as a help to plan a field survey rather than a replacement of it. Further, its improper use may lead to pitfalls and misleading results. This special issue “Ecological Status and Change by Remote Sensing ” is devoted to provide an almost complete overview of robust methods applied to ecological status and change estimate by remote sensing. The contributions published in this special issue cover most of the ecological fields of research involving remote sensing, in particular: (i) mapping vegetation, species distribution modeling and land use status and change; (ii) estimating environmental processes; (iii) developing landscape ecology metrics; (iv) assessing community biodiversity; and (v) estimating climatic parameters. The authors submitting their manuscript to this special issue of Remote Sensing are amongst the

Duccio Rocchini

2010-01-01T23:59:59.000Z

22

A Midlatitude Cirrus Cloud Climatology from the Facility for Atmospheric Remote Sensing. Part II: Microphysical Properties Derived from Lidar Depolarization  

Science Conference Proceedings (OSTI)

In Part II of this series of papers describing the results of the extended time observations of cirrus clouds from the University of Utah Facility for Atmospheric Remote Sensing (FARS), the information content of laser backscatter depolarization ...

Kenneth Sassen; Sally Benson

2001-08-01T23:59:59.000Z

23

Biogeography of Tropical Montane Cloud Forests. Part I: Remote Sensing of Cloud-Base Heights  

Science Conference Proceedings (OSTI)

Cloud-base heights over tropical montane cloud forests are determined using Moderate Resolution Imaging Spectroradiometer (MODIS) cloud products and National Centers for Environmental Prediction global tropospheric final analysis (FNL) fields. ...

Ronald M. Welch; Salvi Asefi; Jian Zeng; Udaysankar S. Nair; Qingyuan Han; Robert O. Lawton; Deepak K. Ray; Vani Starry Manoharan

2008-04-01T23:59:59.000Z

24

REMOTE SENSING GEOLOGICAL SURVEY  

E-Print Network (OSTI)

REMOTE SENSING IN GEOLOGICAL SURVEY OF BRAZIL August/2010 Mônica Mazzini Perrotta Remote Sensing Division Head #12;SUMMARY The Geological Survey of Brazil mission The Remote Sensing Division Main remote, Paleontology, Remote Sensing Director of Hydrology and Land Management But Remote Sensing Division gives

25

Inside Volcanic Clouds: Remote Sensing of Ash Plumes Using Microwave Weather Radars  

Science Conference Proceedings (OSTI)

Microphysical and dynamical features of volcanic tephra due to Plinian and sub-Plinian eruptions can be quantitatively monitored by using ground-based microwave weather radars. The methodological rationale and unique potential of this remote-sensing ...

Frank S. Marzano; Errico Picciotti; Mario Montopoli; Gianfranco Vulpiani

2013-10-01T23:59:59.000Z

26

Effect of Cavities on the Optical Properties of Bullet Rosettes: Implications for Active and Passive Remote Sensing of Ice Cloud Properties  

E-Print Network (OSTI)

.e., the scattering phase matrix, extinction cross section, and single-scattering albedo) of nonspherical ice the parameterization of the bulk radiative properties of ice clouds, which is a Corresponding author address: Dr. Ping and Passive Remote Sensing of Ice Cloud Properties PING YANG,* ZHIBO ZHANG,* GEORGE W. KATTAWAR, STEPHEN G

Baum, Bryan A.

27

ENGO 435 Remote Sensing LAB 1: INTRODUCTION TO REMOTE SENSING  

E-Print Network (OSTI)

ENGO 435 ­ Remote Sensing Fall 2003 LAB 1: INTRODUCTION TO REMOTE SENSING Due: By 4:30 pm on September 30th Objectives: To familiarize you with: Remote sensing resources on the Internet. Some remote (Metadata). Part A: Remote Sensing Resources There is a wealth of remote sensing information and data

Habib, Ayman

28

Remote Sensing ENGO 435 Introduction to Remote Sensing  

E-Print Network (OSTI)

1 Remote Sensing ENGO 435 Introduction to Remote Sensing Fall 2003 #12;2 Remote Sensing ENGO 435://www.geomatics.ucalgar.ca/~habib/courses.html #12;3 Remote Sensing ENGO 435 Grading Scheme · Lab Assignments (5 labs): (25% of Total Grade will be reduced by 10% per day for each day overdue. #12;4 Remote Sensing ENGO 435 Programming & Software

Habib, Ayman

29

Remote Sensing News  

Science Conference Proceedings (OSTI)

... Remote Sensing News. (showing 1 - 6 of 6). Photonic Thermometers Release Date: 11/28/2012 Click here for animation more. ...

2010-10-21T23:59:59.000Z

30

REMOTE SENSING ACTIVITIES Caiti Steele  

E-Print Network (OSTI)

REMOTE SENSING ACTIVITIES Caiti Steele #12;REMOTE SENSING ACTIVITIES Remote sensing of biomass al., 2010) Remote sensing for mapping Ecological States: Spatially-Explicit Representation of State and Steele, in preparation) #12;REMOTE SENSING OF BIOMASS Can reflectance indices derived from Landsat

31

Sources of Error in Dual-Wavelength Radar Remote Sensing of Cloud Liquid Water Content  

Science Conference Proceedings (OSTI)

Dual-wavelength ratio (DWR) techniques offer the prospect of producing high-resolution mapping of cloud microphysical properties, including retrievals of cloud liquid water content (LWC) from reflectivity measured by millimeter-wavelength radars. ...

John K. Williams; J. Vivekanandan

2007-08-01T23:59:59.000Z

32

Detection of Fog and Low Cloud Boundaries with Ground-Based Remote Sensing Systems  

Science Conference Proceedings (OSTI)

The performance of the boundary determination of fog and low stratiform cloud layers with data from a frequency-modulated continuous-wave (FMCW) cloud radar and a Vaisala ceilometer is assessed. During wintertime stable episodes, fog and low ...

Daniela Nowak; Dominique Ruffieux; Judith L. Agnew; Laurent Vuilleumier

2008-08-01T23:59:59.000Z

33

Effects of ice particle size vertical inhomogeneity on the passive remote sensing of ice clouds  

Science Conference Proceedings (OSTI)

The solar reflectance bi-spectral (SRBS) and infrared split-window (IRSpW) methods are two of the most popular techniques for passive ice cloud property retrievals from multispectral imagers. Ice clouds are usually assumed to be vertically homogeneous in global operational algorithms based on these methods, although significant vertical variations of ice particle size are typically observed in ice clouds. In this study we investigate uncertainties in retrieved optical thickness, effective particle size, and ice water path introduced by a homogeneous cloud assumption in both the SRBS and IRSpW methods, and focus on whether the assumption can lead to significant discrepancies between the two methods. The study simulates the upwelling spectral radiance associated with vertically structured clouds and passes the results through representative SRBS and IRSpW retrieval algorithms. Cloud optical thickness is limited to values for which IRSpW retrievals are possible (optical thickness less than about 7). When the ice cloud is optically thin and yet has a significant ice particle size vertical variation, it is found that both methods tend to underestimate the effective radius and ice water path. The reason for the underestimation is the nonlinear dependence of ice particle scattering properties (extinction and single scattering albedo) on the effective radius. Because the nonlinearity effect is stronger in the IRSpW than the SRBS method, the IRSpW-based IWP tends to be smaller than the SRBS counterpart. When the ice cloud is moderately optically thick and ice particle size increases monotonically towards cloud base, the two methods are in qualitative agreement; in the event that ice particle size decreases towards cloud base, the effective radius and ice water path retrievals based on the SRBS method are substantially larger than those from the IRSpW. The main findings of this study suggest that the homogenous cloud assumption can affect the SRBS and IRSpW methods to different extents and, consequently, can lead to significantly different retrievals. Therefore caution should be taken when comparing and combining the ice cloud property retrievals from these two methods.

Zhang, Zhibo; Platnick, Steven; Yang, Ping; Heidinger, Andrew K.; Comstock, Jennifer M.

2010-09-03T23:59:59.000Z

34

An Evaluation of a 94-GHz Radar for Remote Sensing of Cloud Properties  

Science Conference Proceedings (OSTI)

The performance of a 94-GHz radar is evaluated for a variety of cloud conditions. Descriptions of the radar hardware, signal processing, and calibration provide an overview of the radar's capabilities. An important component of the signal ...

E. E. Clothiaux; M. A. Miller; B. A. Albrecht; T. P. Ackerman; J. Verlinde; D. M. Babb; R. M. Peters; W. J. Syrett

1995-04-01T23:59:59.000Z

35

The Remote Sensing of Thin Cirrus Cloud Using Satellites, Lidar and Radiative Transfer Theory  

Science Conference Proceedings (OSTI)

The problem of retrieving cirrus cloud optical depth from radiance measurements made by instruments aboard operational meteorological satellites is addressed. A method is proposed that exploits the relationship between observed differences in the ...

Robert S. Stone; Graeme L. Stephens; C. M. R. Platt; S. Banks

1990-05-01T23:59:59.000Z

36

The Remote Sensing of Clouds and Precipitation from Space: A Review  

Science Conference Proceedings (OSTI)

This paper presents a critical review of a number of popular methods that have been developed to retrieve cloud and precipitation properties from satellite radiance measurements. The emphasis of the paper is on the retrieval uncertainties ...

Graeme L. Stephens; Christian D. Kummerow

2007-11-01T23:59:59.000Z

37

Deep Orographic Cloud Structure and Composition Derived from Comprehensive Remote Sensing Measurements  

Science Conference Proceedings (OSTI)

Coordinated polarization lidar, Ku-band radar and dual-channel microwave radiometer observations of a deep orographic cloud system were collected from a mountain-base site in northwestern Colorado as part of the Colorado Orographic Seeding ...

Kenneth Sassen

1984-04-01T23:59:59.000Z

38

Remote Sensing of Surface and Cloud Properties in the Arctic from AVHRR Measurements  

Science Conference Proceedings (OSTI)

Algorithms to retrieve cloud optical depth and effective radius in the Arctic using Advanced Very High Resolution Radiometer (AVHRR) data are developed, using a comprehensive radiative transfer model in which the atmosphere is coupled to the ...

W. Han; K. Stamnes; Dan Lubin

1999-07-01T23:59:59.000Z

39

Remote Sensing of Cloud Optical Properties from Ground-Based Measurements of Transmittance: A Feasibility Study  

Science Conference Proceedings (OSTI)

The authors present a retrieval technique for the inference of cloud optical depth from data obtained by a ground-based multichannel radiometer for use in climate-related studies. The basic steps of the analysis procedure are considered, ...

E. Leontieva; K. Stamnes

1996-11-01T23:59:59.000Z

40

Microweve Radiative Transfer through Clouds Composed of Realistically Shaped Ice Crystals. Part II. Remote Sensing of Ice Clouds  

Science Conference Proceedings (OSTI)

This paper presents the results of polarized microwave radiative transfer modeling of cirrus clouds containing five different particle shoes and 18 Gamma size distributions. Upwelling brightness temperatures for tropical and midlatitude winter ...

K. Franklin Evans; Graeme L. Stephens

1995-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Remote Sensing of Polar Regions  

Science Conference Proceedings (OSTI)

Polar researchers have historically been innovative and adaptive users of satellite remote sensing data, and their experiences can suggest ways to enhance the use of remote sensing throughout the climate sciences. We performed a semistructured ...

Dan Lubin; Gabrielle Ayres; Steven Hart

2009-06-01T23:59:59.000Z

42

Interpreting Remote Sensing NOx Measurements  

E-Print Network (OSTI)

Interpreting Remote Sensing NOx Measurements Robert Slott, Consultant, Donald Stedman and Saj tailpipe emissions (HC, CO, NOx) are changing with time hUse remote sensing hMeasurements in at least 4 of the year at each location hUniform QC/QA and data reporting Paper # 2001-01-3640 #12;Remote Sensing

Denver, University of

43

4, 133, 2007 Remote sensing  

E-Print Network (OSTI)

HESSD 4, 1­33, 2007 Remote sensing approach to parsimonious streamflow modeling B. P. Weissling et System Sciences A multitemporal remote sensing approach to parsimonious streamflow modeling. P. Weissling (bweissling@swca.com) 1 #12;HESSD 4, 1­33, 2007 Remote sensing approach to parsimonious

Paris-Sud XI, Université de

44

Use of ARM/NSA Data to Validate and Improve the Remote Sensing Retrieval of Cloud and Surface Properties in the Arctic from AVHRR Data  

NLE Websites -- All DOE Office Websites (Extended Search)

ARM/NSA Data to Validate and Improve the ARM/NSA Data to Validate and Improve the Remote Sensing Retrieval of Cloud and Surface Properties in the Arctic from AVHRR Data X. Xiong QSS Group, Inc. National Oceanic and Atmospheric Administration National Environmental Satellite, Data, and Information Service Office of Research and Applications Camp Springs, Maryland R. Storvold and C. Marty Geophysical Institute University of Alaska Fairbanks, Alaska K. H. Stamnes Stevens Institute of Technology Hoboken, New Jersey B. D. Zak Sandia National Laboratories Albuquerque, New Mexico Introduction Clouds in the Arctic have an important impact on the radiative energy balance. However, the effects of clouds still constitute one of the largest uncertainties in the study of climate change. Because the surface

45

Remote Sensing Ayman F. Habib Introduction  

E-Print Network (OSTI)

Remote Sensing Ayman F. Habib 1 Chapter 1 Introduction #12;Remote Sensing Ayman F. Habib 2 Overview · Remote sensing: definition. · Remote sensing versus photogrammetry. · Elements of remote sensing. · Key;Remote Sensing Ayman F. Habib 3 Overview · Acquisition platforms: ­ Historical overview. ­ Terrestrial

Habib, Ayman

46

Sensing remote nuclear spins  

E-Print Network (OSTI)

Sensing single nuclear spins is a central challenge in magnetic resonance based imaging techniques. Although different methods and especially diamond defect based sensing and imaging techniques in principle have shown sufficient sensitivity, signals from single nuclear spins are usually too weak to be distinguished from background noise. Here, we present the detection and identification of remote single C-13 nuclear spins embedded in nuclear spin baths surrounding a single electron spins of a nitrogen-vacancy centre in diamond. With dynamical decoupling control of the centre electron spin, the weak magnetic field ~10 nT from a single nuclear spin located ~3 nm from the centre with hyperfine coupling as weak as ~500 Hz is amplified and detected. The quantum nature of the coupling is confirmed and precise position and the vector components of the nuclear field are determined. Given the distance over which nuclear magnetic fields can be detected the technique marks a firm step towards imaging, detecting and cont...

Zhao, Nan; Schmid, Berhard; Isoya, Junichi; Markham, Mathew; Twitchen, Daniel; Jelezko, Fedor; Liu, Ren-Bao; Fedder, Helmut; Wrachtrup, Jörg

2012-01-01T23:59:59.000Z

47

Remote Sensing R. E. Mcintosh  

NLE Websites -- All DOE Office Websites (Extended Search)

participate in an intensive operation period (lOP) planned for June 1993. The Microwave Remote Sensing Laboratory (MIRSL) is developing a mobile, scanning millimeter-wave radar...

48

Remote Sensing: A New Tool For Automobile  

E-Print Network (OSTI)

Remote Sensing. Recent breakthroughs in manufacturing low- emitting vehicles and in remote sensing of a moving car-style testing centers. Remote sensing technology now allows a piece of equipment small enough to fit in a van

Denver, University of

49

Ground-Based Remote Sensing of Stratocumulus Properties during CLARA, 1996  

Science Conference Proceedings (OSTI)

A method is presented to obtain droplet concentration for water clouds from ground-based remote sensing observations. It relies on observations of cloud thickness, liquid water path, and optical extinction near the cloud base. The method was ...

R. Boers; H. Russchenberg; J. Erkelens; V. Venema; A. van Lammeren; A. Apituley; S. Jongen

2000-02-01T23:59:59.000Z

50

In Situ Cloud Sensing with Multiple Scattering Lidar: Simulations and Demonstration  

Science Conference Proceedings (OSTI)

Due to the spatially inhomogeneous nature of clouds there are large uncertainties in validating remote sensing retrievals of cloud properties with traditional in situ cloud probes, which have sampling volumes measured in liters. This paper ...

K. Franklin Evans; R. Paul Lawson; Pat Zmarzly; Darren O'Connor; Warren J. Wiscombe

2003-11-01T23:59:59.000Z

51

Single Aircraft Integration of Remote Sensing and In Situ Sampling for the Study of Cloud Microphysics and Dynamics  

Science Conference Proceedings (OSTI)

Clouds are a critical component of the Earth's coupled water and energy cycles. Poor understanding of cloud–radiation–dynamics feedbacks results in large uncertainties in forecasting human-induced climate changes. Better understanding of cloud ...

Zhien Wang; Jeffrey French; Gabor Vali; Perry Wechsler; Samuel Haimov; Alfred Rodi; Min Deng; Dave Leon; Jeff Snider; Liran Peng; Andrew L. Pazmany

2012-05-01T23:59:59.000Z

52

Satellite-based remote sensing of cirrus clouds: hyperspectral radiative transfer modeling, analysis of uncertainties in in-situ cloud extinction measurements and intercomparison of cirrus retrievals from a-train instruments  

E-Print Network (OSTI)

This dissertation consists of three parts, each devoted to a particular issue of significant importance for satellite-based remote sensing of cirrus clouds. In the first part, we develop and present a fast infrared radiative transfer model on the basis of the adding-doubling principle. The model aims to facilitate the radiative transfer computations involved in hyperspectral remote sensing applications. The model is applicable to a variety of cloud conditions, including vertically inhomogeneous or multilayered clouds. It is shown that for hyperspectral applications the model is two order-of-magnitude faster than the well-known discrete ordinate transfer (DISORT) model, while maintains a similar accuracy. The second part is devoted to the investigation of uncertainties in the FSSP (Forward Scattering Spectrometer Probe) measurement of cloud extinction by small ice particles. First, the single-scattering properties of small ice particles in cirrus clouds are derived and compared to those of equivalent spheres according to various definitions. It is found that, although small ice particles in cirrus clouds are often “quasi-spherical”, their scattering phase functions and asymmetry factors are significant different from those of ice spheres. Such differences may lead to substantial underestimation of cloud extinction in FSSP measurement, if small ice particles are assumed to be spheres. In the third part, we present a comparison of cirrus cloud optical thickness retrievals from two important instruments, MODIS (Moderate Resolution Imaging Spectrometer) and POLDER (Polarization and Directionality of Earth’s Reflection), on board NASA’s A-train satellite constellation. The comparison reveals a large difference. Several possible reasons are discussed. It is found that much of the difference is attributable to the difference between the MODIS and POLDER retrieval algorithm in the assumption of cirrus cloud bulk scattering properties. Potential implications of the difference for climate studies are investigated. An important finding is that the use of an unrealistic cirrus bulk scattering model might introduce artificial seasonal variation of cirrus optical thickness and shortwave radiative forcing into the retrieval.

Zhang, Zhibo

2008-08-01T23:59:59.000Z

53

CHAPTER 12:CHAPTER 12: Remote Sensing ofRemote Sensing of  

E-Print Network (OSTI)

1 CHAPTER 12:CHAPTER 12: Remote Sensing ofRemote Sensing of WaterWaterWaterWater REFERENCE: Remote SensingREFERENCE: Remote Sensing of the Environmentof the Environment John R. Jensen (2007)John R. Jensen yy y the waterthe water with remotewith remote sensing?sensing? #12;2 THE BLUE PLANETTHE BLUE PLANET

Gilbes, Fernando

54

ENGO 435 Ayman F. Habib Remote Sensing  

E-Print Network (OSTI)

ENGO 435 Ayman F. Habib 1 Remote Sensing Fall 2003 ENGO 435 Ayman F. Habib 2 Contact Information of remotes sensing. ­ Definitions and concepts. ­ Applications in Geomatics Engineering. · Emphasis: ­ Elements of remote sensing. ­ Systems for the acquisition of remote sensing data. ­ Radiometric

Habib, Ayman

55

REMOTE SENSING OF ENVIRONMENT I COURSE SYLLABUS  

E-Print Network (OSTI)

-1- REMOTE SENSING OF ENVIRONMENT I COURSE SYLLABUS GEOG 526, Fall 2012 T Th 9:30 ­ 10:45 228 relating to remote sensing of the earth's environment. We will begin by examining remote sensing as a field will shift to digital image processing and to areas in which remote sensing is applied as a tool for mapping

Peterson, Blake R.

56

Remote Sensing Ayman F. Habib Image Classification  

E-Print Network (OSTI)

1 Remote Sensing Ayman F. Habib 1 Chapter 6 Image Classification Remote Sensing Ayman F. Habib 2. ­ Unsupervised classification. · Accuracy assessment. #12;2 Remote Sensing Ayman F. Habib 3 Image Classification of image pixels is based on their digital numbers/grey values in one or more spectral bands. Remote Sensing

Habib, Ayman

57

Ground-Based Remote Sensing of Cloud Particle Sizes during the 26 November 1991 FIRE II Cirrus Case: Comparisons with In Situ Data  

Science Conference Proceedings (OSTI)

The paper presents the results of retrieving characteristic particle sizes for the November 26 1991 FIRE II case using two methods that utilize ground-based remotes sensors. The size information for the complete vertical depth of the cloud was ...

S. Y. Matrosov; A. J. Heymsfield; J. M. Intrieri; B. W. Orr; J. B. Snider

1995-12-01T23:59:59.000Z

58

Remote Sensing Techniques | Open Energy Information  

Open Energy Info (EERE)

Remote Sensing Techniques Remote Sensing Techniques Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Remote Sensing Techniques Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: None Parent Exploration Technique: Exploration Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Dictionary.png Remote Sensing Techniques: Remote sensing utilizes satellite and/or airborne based sensors to collect information about a given object or area. Remote sensing data collection methods can be passive or active. Passive sensors (e.g., spectral imagers) detect natural radiation that is emitted or reflected by the object or area

59

Remote sensing of seasonal stratification dynamics in the southern Irish Sea Claire Neil a  

E-Print Network (OSTI)

Remote sensing of seasonal stratification dynamics in the southern Irish Sea Claire Neil a , Alex Sea mixing Tidal front Optical remote sensing In early summer, a well-defined front forms resolution achievable by remote sensing in a single year was limited by the high incidence of cloud cover

Polton, Jeff

60

DEVELOPMENT OF IMPROVED TECHNIQUES FOR SATELLITE REMOTE SENSING OF CLOUDS AND RADIATION USING ARM DATA, FINAL REPORT  

SciTech Connect

During the period, March 1997 – February 2006, the Principal Investigator and his research team co-authored 47 peer-reviewed papers and presented, at least, 138 papers at conferences, meetings, and workshops that were supported either in whole or in part by this agreement. We developed a state-of-the-art satellite cloud processing system that generates cloud properties over the Atmospheric Radiation (ARM) surface sites and surrounding domains in near-real time and outputs the results on the world wide web in image and digital formats. When the products are quality controlled, they are sent to the ARM archive for further dissemination. These products and raw satellite images can be accessed at http://cloudsgate2.larc.nasa.gov/cgi-bin/site/showdoc?docid=4&cmd=field-experiment-homepage&exp=ARM and are used by many in the ARM science community. The algorithms used in this system to generate cloud properties were validated and improved by the research conducted under this agreement. The team supported, at least, 11 ARM-related or supported field experiments by providing near-real time satellite imagery, cloud products, model results, and interactive analyses for mission planning, execution, and post-experiment scientific analyses. Comparisons of cloud properties derived from satellite, aircraft, and surface measurements were used to evaluate uncertainties in the cloud properties. Multiple-angle satellite retrievals were used to determine the influence of cloud structural and microphysical properties on the exiting radiation field.

Minnis, Patrick [NASA Langley Research Center, Hampton, VA

2013-06-28T23:59:59.000Z

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Remote Sensing Ayman F. Habib Radiometric Processing of Remote Sensing Data  

E-Print Network (OSTI)

Remote Sensing Ayman F. Habib 1 Chapter 4 Radiometric Processing of Remote Sensing Data #12;Remote. · Noise removal. · Point and edge detection. ­ Frequency domain. #12;Remote Sensing Ayman F. Habib 3 Radiometric Calibration #12;Remote Sensing Ayman F. Habib 4 Recorded Digital Numbers (DN) · Recorded grey

Habib, Ayman

62

Remote Sensing of Multilayer Cloud-Top Pressure Using Combined Measurements of MERIS and AATSR on board Envisat  

Science Conference Proceedings (OSTI)

A novel and unique algorithm for the retrieval of multilayer cloud-top pressure is presented, relying on synergetic observations of the Medium Resolution Imaging Spectrometer (MERIS) and Advanced Along Track Scanning Radiometer (AATSR) on board ...

Rasmus Lindstrot; Rene Preusker; Jürgen Fischer

2010-06-01T23:59:59.000Z

63

The Landsat Scale Break in Stratocumulus as a Three-Dimensional Radiative Transfer Effect: Implications for Cloud Remote Sensing  

Science Conference Proceedings (OSTI)

Several studies have uncovered a break in the scaling properties of Landsat cloud scenes at nonabsorbing wavelengths. For scales greater than 200–400 m, the wavenumber spectrum is approximately power law in k?5/3, but from there down to the ...

Anthony Davis; Alexander Marshak; Robert Cahalan; Warren Wiscombe

1997-01-01T23:59:59.000Z

64

DIRECTED ENERGY BIOMETRICS AND REMOTE SENSING  

Science Conference Proceedings (OSTI)

... New and Reorganized Appendices ?Sample Audit Forms ?And more ANSI Z 136.8 Page 6. DIRECTED ENERGY REMOTE SENSING: ...

2013-02-21T23:59:59.000Z

65

Remote Sensing for Water Quality Applications  

E-Print Network (OSTI)

Remote Sensing for Water Quality Applications #12;Objective Give a brief update on GEO Inland and Nearshore Coastal Water Quality Remote Sensing Workshop (GEO Work Task WA-06-01)) Held in Geneva and Nearshore Coastal Water Quality Remote Sensing Workshop (GEO Work Task WA-06-01)) Organizing committee

66

Airborne remote sensing in the frozen north  

E-Print Network (OSTI)

20 Airborne remote sensing in the frozen north High level shot from 10,000 feet shows, Chief Pilot and Operations Manager for NERC's Airborne Remote Sensing Facility reports on a recent trip expert ­ the Airborne Remote Sensing Facility flew to the Norwegian archipelago of Svalbard on August 3

Brierley, Andrew

67

Bylaws of the Center for Remote Sensing  

E-Print Network (OSTI)

DRAFT Bylaws of the Center for Remote Sensing Agricultural and Biological Engineering University for the conduct and operation of the Center for Remote Sensing (CRS) at the University of Florida (UF). The CRS and international recognition in research, teaching, and outreach for cutting-edge technologies in remote sensing

Watson, Craig A.

68

Geography 477 Introduction to Remote Sensing  

E-Print Network (OSTI)

Geography 477 Introduction to Remote Sensing www.sdal.uiuc.edu Dr. Tom Frank 321 Davenport Hall tdfrank@uiuc.edu 333-7248 #12;Remotely-sensed images of light reflected or emitted from the earth of the earth's environments #12;Remote sensing is the science or art of deriving information about an object

Frank, Thomas D.

69

Challenges and Opportunities of Remote Sensing in  

E-Print Network (OSTI)

Challenges and Opportunities of Remote Sensing in Caribbean Coastal Waters Fernando Gilbes-Santaella, Ph.D. Associate Professor Geological and Environmental Remote Sensing Laboratory Department of this presentation Discuss the potential and limitations for remote sensing of ocean color and coral reefs monitoring

Gilbes, Fernando

70

Remote Sensing of the Rob Holman1  

E-Print Network (OSTI)

Remote Sensing of the Nearshore Rob Holman1 and Merrick C. Haller2 1 College of Earth, Ocean- ate temporal or spatial density or at reasonable logistical or financial costs. Remote sensing algo- rithms by which the most important geophysical variables can be estimated from remote sensing

Haller, Merrick

71

Remote Sensing 2010, 2, 2274-2304; doi:10.3390/rs2092274 Remote Sensing  

E-Print Network (OSTI)

Remote Sensing 2010, 2, 2274-2304; doi:10.3390/rs2092274 Remote Sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Review Remote Sensing of Irrigated Agriculture: Opportunities and Challenges Mutlu Ozdogan *, Yang Yang / Published: 27 September 2010 Abstract: Over the last several decades, remote sensing has emerged

Wisconsin at Madison, University of

72

Polarimetric remote sensing system analysis: Digital Imaging and Remote Sensing Image Generation (DIRSIG) model  

E-Print Network (OSTI)

i Polarimetric remote sensing system analysis: Digital Imaging and Remote Sensing Image Generation CENTER FOR IMAGING SCIENCE Title of Dissertation: Polarimetric remote sensing system analysis: DIRSIG____________________________________________________________ Date #12;vi #12;vii Polarimetric remote sensing system analysis: DIRSIG model validation and impact

Salvaggio, Carl

73

The development of new algorithms for remote sensing of snow ...  

Science Conference Proceedings (OSTI)

Mar 14, 2010 ... remote sensing algorithm development, calibration and validation in ... Keywords Remote sensing Á Retrieval algorithms Á. Fractional snow ...

74

Remote Sensing Methods for Imaging Dose to Water  

Science Conference Proceedings (OSTI)

Remote Sensing Methods for Imaging Dose to Water. Summary: Calorimetry based upon remote sensing of the temperature ...

2013-02-26T23:59:59.000Z

75

Remote Sensing Ayman F. Habib Electro-Magnetic Radiation  

E-Print Network (OSTI)

Remote Sensing Ayman F. Habib 1 Chapter 2 Electro-Magnetic Radiation #12;Remote Sensing Ayman F. Habib 2 Elements of Remote Sensing #12;Remote Sensing Ayman F. Habib 3 Chapter 2 Radiation: nature & source #12;Remote Sensing Ayman F. Habib 4 Chapter 2 Interaction with the atmosphere #12;Remote Sensing

Habib, Ayman

76

Remote Sensing Ayman F. Habib Electro-Magnetic Radiation  

E-Print Network (OSTI)

Remote Sensing Ayman F. Habib 1 Chapter 2 Electro-Magnetic Radiation Remote Sensing Ayman F. Habib 2 Elements of Remote Sensing #12;Remote Sensing Ayman F. Habib 3 Chapter 2 Radiation: nature & source Remote Sensing Ayman F. Habib 4 Chapter 2 Interaction with the atmosphere #12;Remote Sensing Ayman

Habib, Ayman

77

Definition: Remote Sensing Techniques | Open Energy Information  

Open Energy Info (EERE)

Remote Sensing Techniques Remote Sensing Techniques Jump to: navigation, search Dictionary.png Remote Sensing Techniques Remote sensing utilizes satellite and/or airborne based sensors to collect information about a given object or area. Remote sensing data collection methods can be passive or active. Passive sensors (e.g., spectral imagers) detect natural radiation that is emitted or reflected by the object or area being observed. In active remote sensing (e.g., radar) energy is emitted and the resultant signal that is reflected back is measured.[1] View on Wikipedia Wikipedia Definition Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object. In modern usage, the term generally refers to the use of aerial sensor technologies

78

10 January 2009 PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING High Performance Computing in Remote Sensing  

E-Print Network (OSTI)

10 January 2009 PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING High Performance Computing in Remote Book ReviewBook Review High Performance Computing in Remote Sensing introduces the most recent advances in the incorporation of the high-performance computing (HPC) paradigm in remote sensing missions. Eighteen well

Plaza, Antonio J.

79

18 IEEE Geoscience and Remote Sensing Society Newsletter September 2011 International Geoscience and Remote Sensing Symposium,  

E-Print Network (OSTI)

18 IEEE Geoscience and Remote Sensing Society Newsletter · September 2011 International Geoscience and Remote Sensing Symposium, Honolulu, Hawai'i: IEEE, 2000. [27] R. K. Raney, "Hybrid-Polarity SAR Architecture," in CD-ROM Proceedings, IEEE International and Geoscience Remote Sensing Symposium IGARSS, Denver

Fischlin, Andreas

80

Arctic Cloud Microphysics Retrievals from Surface-Based Remote Sensors at SHEBA  

Science Conference Proceedings (OSTI)

An operational suite of ground-based, remote sensing retrievals for producing cloud microphysical properties is described, assessed, and applied to 1 yr of observations in the Arctic. All measurements were made in support of the Surface Heat ...

Matthew D. Shupe; Taneil Uttal; Sergey Y. Matrosov

2005-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Remote Sensing Ayman F. Habib Data Acquisition Systems  

E-Print Network (OSTI)

Remote Sensing Ayman F. Habib 1 Chapter 3 Data Acquisition Systems #12;Remote Sensing Ayman F. ­ Electro-mechanical scanners. #12;Remote Sensing Ayman F. Habib 3 Overview · LIDAR operational principles for recognition and classification purposes. #12;Remote Sensing Ayman F. Habib 4 Remote Sensing Systems Utilized

Habib, Ayman

82

Remote Sensing Ayman F. Habib Image Registration & Rectification  

E-Print Network (OSTI)

Remote Sensing Ayman F. Habib 1 Chapter 5 Image Registration & Rectification #12;Remote Sensing: Resampling techniques. #12;Remote Sensing Ayman F. Habib 3 Image Registration #12;Remote Sensing Ayman F be integrated/fused. Object Space Left Image Right Image Image Registration: Objective #12;Remote Sensing Ayman

Habib, Ayman

83

Remote Sensing Ayman F. Habib Image Registration & Rectification  

E-Print Network (OSTI)

1 Remote Sensing Ayman F. Habib 1 Chapter 5 Image Registration & Rectification Remote Sensing Ayman: Resampling techniques. #12;2 Remote Sensing Ayman F. Habib 3 Image Registration Remote Sensing Ayman F. Habib be integrated/fused. Object Space Left Image Right Image Image Registration: Objective #12;3 Remote Sensing

Habib, Ayman

84

Neural maps in remote sensing image analysis  

Science Conference Proceedings (OSTI)

We study the application of self-organizing maps (SOMs) for the analyses of remote sensing spectral images. Advanced airborne and satellite-based imaging spectrometers produce very high-dimensional spectral signatures that provide key information to ... Keywords: generalized relevance learning vector quantization, image analysis, remote sensing, self-organizing map

Thomas Villmann; Erzsébet Merényi; Barbara Hammer

2003-04-01T23:59:59.000Z

85

Modeling of Spectralon diffusers for radiometric calibration in remote sensing  

E-Print Network (OSTI)

Modeling of Spectralon diffusers for radiometric calibration in remote sensing G. Bazalgette Courre Abstract. Onboard calibration of radiometric measurements in remote sensing is often achieved for publication May 28, 2003. 1 Introduction Light diffusers are used in remote sensing applications

Sprik, Rudolf

86

Remote Sensing for Biodiversity Conservation of the Albertine Rift  

E-Print Network (OSTI)

183 10 Remote Sensing for Biodiversity Conservation of the Albertine Rift in Eastern Africa Samuel 2003). The rapidly developing field of remote sensing has been invaluable to biodiversity conservation...............................................................................................184 10.3 Remote Sensing of the Albertine Rift .....................................................185

Wang, Y.Q. "Yeqiao"

87

Multiple Instrument Distributed Aperture Sensor (MIDAS) For Planetary Remote Sensing  

E-Print Network (OSTI)

Multiple Instrument Distributed Aperture Sensor (MIDAS) For Planetary Remote Sensing Joe Pitman An innovative approach that enables greatly increased return from planetary science remote sensing missions as the primary remote sensing science payload, thereby reducing the cost, resources, complexity, integration

Marcus, Philip S.

88

Snowpack spatial variability: towards understanding its effect on remote sensing  

E-Print Network (OSTI)

Snowpack spatial variability: towards understanding its effect on remote sensing measurements spatial variability: towards understanding its effect on remote sensing mea- surements and snow slope large errors in these basin estimates. Remote sensing measurements offer a promising alternative, due

Marshall, Hans-Peter

89

Cloud Type and Macrophysical Property Retrieval Using Multiple Remote Sensors  

Science Conference Proceedings (OSTI)

A cloud detection algorithm based on ground-based remote sensors has been developed that can differentiate among various atmospheric targets such as ice and water clouds, virga, precipitation, and aerosol layers. Standard cloud type and ...

Zhien Wang; Kenneth Sassen

2001-10-01T23:59:59.000Z

90

On-road remote sensing of vehicle emissions in  

E-Print Network (OSTI)

On-road remote sensing of vehicle emissions in the Auckland Region August 2003 Technical 1877353000 www.arc.govt.nz #12;TP 198 On-Road Remote Sensing of Vehicle Emissions in the Auckland Region #12;Page i TP 198 On-Road Remote Sensing of Vehicle Emissions in the Auckland Region On-road remote sensing

Denver, University of

91

Global remote sensing research trends during 19912010: a bibliometric analysis  

E-Print Network (OSTI)

Global remote sensing research trends during 1991­2010: a bibliometric analysis Yanhua Zhuang to remote sensing of SCI and SSCI databases during 1991­2010, this study evaluated the geographical, institutional, national, and spatiotemporal patterns in remote sensing research. Remote sensing research went up

Gruner, Daniel S.

92

Remote Sensing of Natural Areas: Procedures and Considerations for  

E-Print Network (OSTI)

1 Remote Sensing of Natural Areas: Procedures and Considerations for Assessing Vegetation Ecosystems and Remote Sensing Program Introduction Remote sensing can be defined as the acquisi- tion for rapid analysis. In the last Technical Report, we provided an in- troduction to how remote sensing can

93

Geobotanical Remote Sensing for Geothermal Exploration  

DOE Green Energy (OSTI)

This paper presents a plan for increasing the mapped resource base for geothermal exploration in the Western US. We plan to image large areas in the western US with recently developed high resolution hyperspectral geobotanical remote sensing tools. The proposed imaging systems have the ability to map visible faults, surface effluents, historical signatures, and discover subtle hidden faults and hidden thermal systems. Large regions can be imaged at reasonable costs. The technique of geobotanical remote sensing for geothermal signatures is based on recent successes in mapping faults and effluents the Long Valley Caldera and Mammoth Mountain in California.

Pickles, W L; Kasameyer, P W; Martini, B A; Potts, D C; Silver, E A

2001-05-22T23:59:59.000Z

94

Remote Sensing of Chiral Signatures on Mars  

E-Print Network (OSTI)

We describe circular polarization as a remote sensing diagnostic of chiral signatures which may be applied to Mars. The remarkable phenomenon of homochirality provides a unique biosignature which can be amenable to remote sensing through circular polarization spectroscopy. The natural tendency of microbes to congregate in close knit communities would be beneficial for such a survey. Observations of selected areas of the Mars surface could reveal chiral signatures and hence explore the possibility of extant or preserved biological material. We describe a new instrumental technique that may enable observations of this form.

Sparks, William; Germer, Thomas A; Robb, Frank; Kolokolova, Ludmilla

2012-01-01T23:59:59.000Z

95

Geothermal Exploration Using Aviris Remote Sensing Data Over...  

Open Energy Info (EERE)

Using Aviris Remote Sensing Data Over Fish Lake Valley, Nv Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Geothermal Exploration Using Aviris Remote...

96

Depolarization remote sensing by orthogonality breaking  

E-Print Network (OSTI)

A new concept devoted to sensing the depolarization strength of materials from a single measurement is proposed and successfully validated on a variety of samples. It relies on the measurement of the orthogonality breaking between two orthogonal states of polarization after interaction with the material to be characterized. The two fields orthogonality being preserved after propagation in birefringent media, this concept is shown to be perfectly suited to depolarization remote sensing through fibers, opening the way to real time depolarization endoscopy.

Fade, Julien

2012-01-01T23:59:59.000Z

97

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 3, NO. 3, JULY 2006 287 The Influence of Thermodynamic Phase on the  

E-Print Network (OSTI)

with respect to the assumption of a cloud containing solely liquid or ice phase particles. The analyses suggest liquid phase (or pure ice phase) is assumed for the cloud, whereas the corresponding cloud optical, optical thickness, remote sensing. I. INTRODUCTION BOTH ice and water phase particles may coexist

Baum, Bryan A.

98

Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part III: High-Resolution Spectral Models from 100 to 3250 cm?1  

Science Conference Proceedings (OSTI)

This study reports on the development of bulk single-scattering models for ice clouds that are appropriate for use in hyperspectral radiative transfer cloud modeling over the spectral range from 100 to 3250 cm?1. The models are developed in a ...

Bryan A. Baum; Ping Yang; Shaima Nasiri; Andrew K. Heidinger; Andrew Heymsfield; Jun Li

2007-04-01T23:59:59.000Z

99

Remote Sensing of Cirrus Radiative Parameters during EUCREX’94. Case Study of 17 April 1994. Part I: Observations  

Science Conference Proceedings (OSTI)

During the intensive European Cloud and Radiation Experiment 1994 (EUCREX’94) conducted off the coast of Brittany (France) over the Atlantic Ocean during April 1994, natural cirrus have been analyzed from in situ and remote sensing measurements. ...

Laurent Sauvage; Pierre H. Flamant; Hélène Chepfer; Gérard Brogniez; Vincent Trouillet; Jacques Pelon; Franck Albers

1999-04-01T23:59:59.000Z

100

Category:Remote Sensing Techniques | Open Energy Information  

Open Energy Info (EERE)

Remote Sensing Techniques Remote Sensing Techniques Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Remote Sensing Techniques page? For detailed information on remote sensing techniques used as a geothermal exploration technique, click here. Category: Remote Sensing Techniques Add.png Add a new Remote Sensing Technique Subcategories This category has the following 2 subcategories, out of 2 total. A [+] Active Sensors‎ (1 categories) 2 pages P [×] Passive Sensors‎ 13 pages Pages in category "Remote Sensing Techniques" The following 2 pages are in this category, out of 2 total. A Active Sensors L Long-Wave Infrared Retrieved from "http://en.openei.org/w/index.php?title=Category:Remote_Sensing_Techniques&oldid=594055"

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

On-Road Emissions in Asia Measured by Remote Sensing.  

E-Print Network (OSTI)

On-Road Emissions in Asia Measured by Remote Sensing. · Donald H. Stedman, Gary A. Bishop on-road advantage · Large on-road emissions cause poor air quality. · Remote sensing measures on

Denver, University of

102

IMBALANCED RADIATION ENTROPY AND IMPLICATIONS FOR REMOTE SENSING  

E-Print Network (OSTI)

IMBALANCED RADIATION ENTROPY AND IMPLICATIONS FOR REMOTE SENSING Yangang Liu, Wei Wu and Warren and radiation entropy is needed to close the system. A new remote sensing approach is presented

Johnson, Peter D.

103

Remote Sens. 2011, 3, x-x manuscripts; doi:xx1 Remote Sensing3  

E-Print Network (OSTI)

Remote Sens. 2011, 3, x-x manuscripts; doi:xx1 2 Remote Sensing3 ISSN 2072-42924 www16 7 Lebanese National Council For Scientific Research, Remote Sensing Centre, Beirut, Lebanon17 in Remote Sensing, 2011, 3(6), 1266-1283. The original publication is available at http://www.mdpi.com/ Doi

Paris-Sud XI, Université de

104

Remote Sens. 2011, 3, 2529-2551; doi:10.3390/rs3112529 Remote Sensing  

E-Print Network (OSTI)

Remote Sens. 2011, 3, 2529-2551; doi:10.3390/rs3112529 Remote Sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications Abstract: Using unmanned aircraft systems (UAS) as remote sensing platforms offers the unique ability

105

Remote Sens. 2013, 5, 5926-5943; doi:10.3390/rs5115926 Remote Sensing  

E-Print Network (OSTI)

Remote Sens. 2013, 5, 5926-5943; doi:10.3390/rs5115926 Remote Sensing ISSN 2072-4292 www: 6 November 2013 / Accepted: 7 November 2013 / Published: 14 November 2013 Abstract: Remote sensing challenging to model crop yields based on remotely sensed data due to the variation in radiation use

Myneni, Ranga B.

106

Effect of Cavities on the Optical Properties of Bullet Rosettes: Implications for Active and Passive Remote Sensing of Ice Cloud Properties  

Science Conference Proceedings (OSTI)

Bullet rosette particles are common in ice clouds, and the bullets may often be hollow. Here the single-scattering properties of randomly oriented hollow bullet rosette ice particles are investigated. A bullet, which is an individual branch of a ...

Ping Yang; Zhibo Zhang; George W. Kattawar; Stephen G. Warren; Bryan A. Baum; Hung-Lung Huang; Yong X. Hu; David Winker; Jean Iaquinta

2008-09-01T23:59:59.000Z

107

Remote Sensing Observations from MTI Satellites and GMS Over Tropical Island of Nauru  

NLE Websites -- All DOE Office Websites (Extended Search)

Remote Sensing Observations from MTI Satellites and Remote Sensing Observations from MTI Satellites and GMS Over Tropical Island of Nauru W. M. Porch, P. Chylek, and B. Henderson Los Alamos National Laboratory Los Alamos, New Mexico Introduction The observations of island cloud trails have revealed a strong relationship between the character and frequency of occurrence of island cloud trails and the Tropical Ocean Southern Oscillation (MacFarlane et al. 2004 a, b). Island cloud trails from the U.S. Department of Energy's (DOE) Atmospheric and Radiation Measurement (ARM) facility of Nauru persist for more than 50 km (Nordeen et al. 2001) and resemble ship trail clouds found in the Eastern Ocean Margins (Porch et al. 1999). Island trail clouds are much more frequently observed during La Niña periods than El Niño periods (Figure 1). This

108

New Approaches to Forest Monitoring using Remote Sensing  

E-Print Network (OSTI)

New Approaches to Forest Monitoring using Remote Sensing MSS 1972 ASTER 2001 Matt Hansen and John Townshend #12;New Approaches to Forest Monitoring using Remote Sensing ·Sampling approaches for the Boreal remotely sensed data · Matthew C. Hansen, · Stephen V. Stehman, · Peter V. Potapov, · Thomas R. Loveland

109

Multiple Instrument Distributed Aperture Sensor (MIDAS) For Remote Sensing  

E-Print Network (OSTI)

Multiple Instrument Distributed Aperture Sensor (MIDAS) For Remote Sensing Joe Pitman,a , Alan that enables greatly increased return from earth and planetary science remote sensing missions is described are integrated into MIDAS as the primary remote sensing science payload, thereby reducing the cost, resources

Fienup, James R.

110

Remote Sensing of Railroad Locomotive Emissions: A Feasibility Study  

E-Print Network (OSTI)

Remote Sensing of Railroad Locomotive Emissions: A Feasibility Study Peter J. Popp, Gary A. Bishop, DC 20590 #12;Remote Sensing of Railroad Engine Emissions 2 INTRODUCTION Many cities in the United be #12;Remote Sensing of Railroad Engine Emissions 3 operated at a preset power output and fixed engine

Denver, University of

111

Remote Sensing Data and Information for Hydrological Monitoring and Modeling  

E-Print Network (OSTI)

1 Remote Sensing Data and Information for Hydrological Monitoring and Modeling Reza Khanbilvardi Springs, MD, USA 1 Introduction Remote sensing data and information are shown great potential in supplying measurements, remote sensing based measurements are spatially averages over the pixels can appropriate

Krakauer, Nir Y.

112

EN-025 Tools & Applications December 2008 Lidar Remote Sensing  

E-Print Network (OSTI)

EN-025 Tools & Applications December 2008 Lidar Remote Sensing: Mapping British Columbia's Forests with Lasers By Christopher W. Bater, Denis Collins, and Nicholas C. Coops KEYWORDS: remote sensing, lidar. Collins, and N.C. Coops. 2008. Lidar remote sensing: mapping British Columbia's forests with lasers

113

Multivariate and Supervised Approaches for Mathematical Morphology in Remote Sensing  

E-Print Network (OSTI)

Multivariate and Supervised Approaches for Mathematical Morphology in Remote Sensing S´ebastien Lef`evre Image Sciences, Computer Sciences and Remote Sensing Laboratory (LSIIT) Models, Image and Vision Team MM Supervised MM Applications in Remote Sensing Conclusion Mathematical Morphology is a powerful

Lefèvre, Sébastien

114

Remote Sensing Messungen zur on-road Bestimmung der  

E-Print Network (OSTI)

LUBETRAX Remote Sensing Messungen zur on-road Bestimmung der Abgase von schweren Motorfahrzeugen, Chur, Zürich, Brugg Dr. Peter Maly (Projektleitung) Dr. Stefan Scherer Dr. G.A. Bishop (Remote Sensing;Inhaltsverzeichnis Zusammenfassung 1 1. Einleitung und Zielsetzung 3 1.1 Remote Sensing Messungen (FEAT) 4 1

Denver, University of

115

Real-time Remote Sensing of Snowmobiles Emissions at  

E-Print Network (OSTI)

Real-time Remote Sensing of Snowmobiles Emissions at Yellowstone National Park: An Oxygenated Fuel 68509 #12;Real-time Remote Sensing of Snowmobile Emissions at Yellowstone National Park 2 Executive Summary In the winter of 1999, the University of Denver conducted a remote sensing study at Yellowstone

Denver, University of

116

Wireless Tomography, Part I: A Novel Approach to Remote Sensing  

E-Print Network (OSTI)

Wireless Tomography, Part I: A Novel Approach to Remote Sensing R. C. Qiu, M. C. Wicks, L. Li, Z. Browning.12@us.af.mil Abstract--Wireless tomography, a novel approach to remote sensing, is proposed--radio frequency tomography, remote sensing, cognitive radar, cognitive radio. I. INTRODUCTION The ever increasing

Qiu, Robert Caiming

117

Remote Sensing of Western-Caribbean Coral Communities  

E-Print Network (OSTI)

Remote Sensing of Western-Caribbean Coral Communities Introduction: Despite the fact that coral. Remote sensing has been suggested as a potential tool for monitoring the spatial extent, health the Spectral Reflectance of Corals In-Situ. GIScience and Remote Sensing. Maeder, J., Narumalani, S., Rundquist

Nebraska-Lincoln, University of

118

Remote Sensing Tools Can Add Precision to Your Farming Operation  

E-Print Network (OSTI)

Remote Sensing Tools Can Add Precision to Your Farming Operation Harold Kaufman, Terry Wheeler is therefore important for the success of precision agriculture on individual farms. Remote sensing is a method.digitalglobe.com). However, the most inexpensive method of remote sensing is to shoot infrared images with a 35mm camera

Mukhtar, Saqib

119

UAS remote sensing missions for rangeland applications Andrea S. Lalibertea  

E-Print Network (OSTI)

UAS remote sensing missions for rangeland applications Andrea S. Lalibertea *, Craig Wintersb for remote sensing applications from unmanned aircraft systems (UAS). In this article, we describe a proven workflow for UAS-based remote sensing, and discuss geometric errors of image mosaics and classification

120

Remote Sensing in Support of Multilateral Environmental Agreements  

E-Print Network (OSTI)

Remote Sensing in Support of Multilateral Environmental Agreements Alex de Sherbinin CIESIN, from 172 in 1970 to more than 475 today · the sophistication of remote sensing and geospatial sets · the number of global and regional initiatives attempting to apply remote sensing (RS

Columbia University

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Remote Sensing of Natural Areas: Procedures and Considerations for  

E-Print Network (OSTI)

1 Remote Sensing of Natural Areas: Procedures and Considerations for Assessing Stress and Pollution Jason Goldberg, James Perry, and John Anderson Coastal Ecosystems and Remote Sensing Program Introduction Remote sensing can be defined as the acquisi- tion and measurement of data/information on some

122

Remote Sensing Applications for Sustainable Aquaculture in Africa  

E-Print Network (OSTI)

Remote Sensing Applications for Sustainable Aquaculture in Africa Joseph E. Quansah1 , Gilbert L of the science with respect to remote sensing applications for aquaculture, including site location, aquaculture for multi-sensor remote sensing deployment to support sustainable fish production in these environments

Jiang, Wen

123

Microwave remote sensing of ionized air.  

SciTech Connect

We present observations of microwave scattering from ambient room air ionized with a negative ion generator. The frequency dependence of the radar cross section of ionized air was measured from 26.5 to 40 GHz (Ka-band) in a bistatic mode with an Agilent PNA-X series (model N5245A) vector network analyzer. A detailed calibration scheme is provided to minimize the effect of the stray background field and system frequency response on the target reflection. The feasibility of detecting the microwave reflection from ionized air portends many potential applications such as remote sensing of atmospheric ionization and remote detection of radioactive ionization of air.

Liao, S.; Gopalsami, N.; Heifetz, A.; Elmer, T.; Fiflis, P.; Koehl, E. R.; Chien, H. T.; Raptis, A. C. (Nuclear Engineering Division)

2011-07-01T23:59:59.000Z

124

CHAPTER 1CHAPTER 1CHAPTER 1:CHAPTER 1: REMOTE SENSING OFREMOTE SENSING OF  

E-Print Network (OSTI)

1 CHAPTER 1CHAPTER 1CHAPTER 1:CHAPTER 1: REMOTE SENSING OFREMOTE SENSING OF THE ENVIRONMENTTHE ENVIRONMENT REFERENCE: Remote Sensing of the Environment John R. Jensen (2007) Second Edition Pearson Prentice Hall What is Remote Sensing? OBSERVING THE EARTH FROM SPACE #12;2 Spectral Reflectance Measurement

Gilbes, Fernando

125

ATMO 642 Remote Sensing of the Atmosphere Jan. 17, 2012 ATMO 642: Remote Sensing of the Atmosphere  

E-Print Network (OSTI)

ATMO 642 Remote Sensing of the Atmosphere Jan. 17, 2012 ATMO 642: Remote Sensing of the Atmosphere. 15 % Exam 1 15 % Exam 2 15 % Exam 3 30 % Homework/In class exercises 25 % Project #12;ATMO 642 Remote Sensing of the Atmosphere Jan. 17, 2012 Project: We are going to have a semester long research project

Peterson, Blake R.

126

Polarimetric Remote Sensing of Solar System Objects  

E-Print Network (OSTI)

This book outlines the basic physical principles and practical methods of polarimetric remote sensing of Solar System objects and summarizes numerous advanced applications of polarimetry in geophysics and planetary astrophysics. In the first chapter we present a complete and rigorous theory of electromagnetic scattering by disperse media directly based on the Maxwell equations and describe advanced physically based modeling tools. This is followed, in Chapter 2, by a theoretical analysis of polarimetry as a remote-sensing tool and an outline of basic principles of polarimetric measurements and their practical implementations. In Chapters 3 and 4, we describe the results of extensive ground-based, aircraft, and spacecraft observations of numerous Solar System objects (the Earth and other planets, planetary satellites, Saturn's rings, asteroids, trans-Neptunian objects, and comets). Theoretical analyses of these data are used to retrieve optical and physical characteristics of planetary surfaces and atmospheres...

Mishchenko, M I; Kiselev, N N; Lupishko, D F; Tishkovets, V P; Kaydash, V G; Belskaya, I N; Efimov, Y S; Shakhovskoy, N M

2010-01-01T23:59:59.000Z

127

Surface-Based Remote Sensing of the Aerosol Indirect Effect at Southern Great Plains  

NLE Websites -- All DOE Office Websites (Extended Search)

Surface-Based Remote Sensing of the Surface-Based Remote Sensing of the Aerosol Indirect Effect at Southern Great Plains G. Feingold and W. L. Eberhard National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado D. E. Vernon and M. Previdi Rutgers University New Brunswick, New Jersey Abstract We have demonstrated first measurements of the aerosol indirect effect using ground-based remote sensors at the Southern Great Plains (SGP) site. The response of non-precipitating, ice-free clouds to changes in aerosol loading is quantified in terms of a relative change in cloud-drop effective radius (r e ) for a relative change in aerosol extinction under conditions of equivalent cloud liquid water path (LWP). This is done in a single column of air at a temporal resolution of 20 s (spatial resolution of ~100 m).

128

Application of Fuzzy Grade-of-Membership Clustering to Analysis of Remote Sensing Data  

Science Conference Proceedings (OSTI)

A fuzzy grade-of-membership (GoM) clustering algorithm is applied to analysis of remote sensing data, in particular, the type of data used in climatic classification. The methodology is applied to a cloud product data subset derived from NASA’s ...

Lisa M. Talbot; Bryan G. Talbot; Robert E. Peterson; H. Dennis Tolley; Harvey D. Mecham

1999-01-01T23:59:59.000Z

129

Cumulus Cloud Properties Derived Using Landsat Satellite Data  

Science Conference Proceedings (OSTI)

Landsat Multispectral Scanner (MSS) digital data are used to remotely sense cumulus cloud properties such as cloud fraction and cloud reflectance, along with the distribution of cloud number and cloud fraction as a function of cloud size. The ...

Bruce A. Wielicki; Ronald M. Welch

1986-03-01T23:59:59.000Z

130

Remote sensing of total integrated water vapor, wind speed, and cloud liquid water over the ocean using the Special Sensor Microwave/Imager (SSM/I)  

E-Print Network (OSTI)

A modified D-matrix retrieval method is the basis of the refined total integrated water vapor (TIWV), total integrated cloud liquid water (CLW), and surface wind speed (WS) retrieval methods that are developed. The 85 GHZ polarization difference is used to restrict the application of the geophysical retrieval algorithms which are developed to handle specific atmospheric absorptive situations. An improved semi-empirical sea surface emissivity model is integrated into this refined D-matrix procedure that is being developed for the Advanced Microwave Sounding Radiometer (AMSR). The purpose of this work is to test the refined geophysical parameter retrieval methods using data from the Special Sensor Microwave / Imager (SSM/I). When comparing the statistical performance of the TIWV, WS, and CLW retrieval methods presented to the statistical performance of published retrieval methods for each geophysical parameter, the retrieval methods developed for this study perform only slightly better. However, it is demonstrated that the new retrieval methods are more physically valid than the comparison retrieval methods. The utilization of the polarization difference of the 85 GHZ channels to restrict the application of specifically-derived retrieval algorithms proves to be a valuable and reliable geophysical parameter retrieval tool.

Manning, Norman Willis William

1997-01-01T23:59:59.000Z

131

Remote shock sensing and notification system  

DOE Patents (OSTI)

A low-power shock sensing system includes at least one shock sensor physically coupled to a chemical storage tank to be monitored for impacts, and an RF transmitter which is in a low-power idle state in the absence of a triggering signal. The system includes interface circuitry including or activated by the shock sensor, wherein an output of the interface circuitry is coupled to an input of the RF transmitter. The interface circuitry triggers the RF transmitter with the triggering signal to transmit an alarm message to at least one remote location when the sensor senses a shock greater than a predetermined threshold. In one embodiment the shock sensor is a shock switch which provides an open and a closed state, the open state being a low power idle state.

Muralidharan, Govindarajan (Knoxville, TN); Britton, Charles L. (Alcoa, TN); Pearce, James (Lenoir City, TN); Jagadish, Usha (Knoxville, TN); Sikka, Vinod K. (Oak Ridge, TN)

2010-11-02T23:59:59.000Z

132

Remote shock sensing and notification system  

DOE Patents (OSTI)

A low-power shock sensing system includes at least one shock sensor physically coupled to a chemical storage tank to be monitored for impacts, and an RF transmitter which is in a low-power idle state in the absence of a triggering signal. The system includes interference circuitry including or activated by the shock sensor, wherein an output of the interface circuitry is coupled to an input of the RF transmitter. The interface circuitry triggers the RF transmitting with the triggering signal to transmit an alarm message to at least one remote location when the sensor senses a shock greater than a predetermined threshold. In one embodiment the shock sensor is a shock switch which provides an open and a closed state, the open state being a low power idle state.

Muralidharan, Govindarajan (Knoxville, TN); Britton, Charles L. (Alcoa, TN); Pearce, James (Lenoir City, TN); Jagadish, Usha (Knoxville, TN); Sikka, Vinod K. (Oak Ridge, TN)

2008-11-11T23:59:59.000Z

133

Remote Sensing- Principles And Interpretation | Open Energy Informatio...  

Open Energy Info (EERE)

Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Reference Material: Remote Sensing- Principles And Interpretation Details Activities (1) Areas (1) Regions (0)...

134

An Integrated Mapping And Remote Sensing Investigation Of The...  

Open Energy Info (EERE)

And Remote Sensing Investigation Of The Structural Control For Fumarole Location In The Eburru Volcanic Complex, Kenya Rift Jump to: navigation, search GEOTHERMAL ENERGYGeothermal...

135

Active and Passive Remote Sensing Diagram | Open Energy Information  

Open Energy Info (EERE)

2013 DOI Not Provided Check for DOI availability: http:crossref.org Online Internet link for Active and Passive Remote Sensing Diagram Citation National Aeronautics and...

136

Method of determining forest production from remotely sensed forest parameters  

DOE Patents (OSTI)

A method of determining forest production entirely from remotely sensed data in which remotely sensed multispectral scanner (MSS) data on forest 5 composition is combined with remotely sensed radar imaging data on forest stand biophysical parameters to provide a measure of forest production. A high correlation has been found to exist between the remotely sensed radar imaging data and on site measurements of biophysical 10 parameters such as stand height, diameter at breast height, total tree height, mean area per tree, and timber stand volume.

Corey, J.C.; Mackey, H.E. Jr.

1987-08-31T23:59:59.000Z

137

Airborne remote sensing of estuarine intertidal radionuclide concentrations.  

E-Print Network (OSTI)

??The ability to map industrial discharges through remote sensing provides a powerful tool in environmental monitoring. Radionuclide effluents have been discharged, under authorization, into the… (more)

Rainey, Michael Patrick

1999-01-01T23:59:59.000Z

138

Remote sensing survey of the Coso geothermal area, Inyo county...  

Open Energy Info (EERE)

sensing survey of the Coso geothermal area, Inyo county, California. Technical publication 1968--1971 Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Report: Remote...

139

Near-surface remote sensing of canopy architecture and land-atmosphere interactions in an oak savanna ecosystem  

E-Print Network (OSTI)

MODIS satellite data. Remote Sensing of Environment, 106,a joint flux tower, remote sensing and modelling analysis.of the algorithm. Remote Sensing of Environment, 110,

Ryu, Youngryel

2010-01-01T23:59:59.000Z

140

Method to analyze remotely sensed spectral data  

SciTech Connect

A fast and rigorous multivariate curve resolution (MCR) algorithm is applied to remotely sensed spectral data. The algorithm is applicable in the solar-reflective spectral region, comprising the visible to the shortwave infrared (ranging from approximately 0.4 to 2.5 .mu.m), midwave infrared, and thermal emission spectral region, comprising the thermal infrared (ranging from approximately 8 to 15 .mu.m). For example, employing minimal a priori knowledge, notably non-negativity constraints on the extracted endmember profiles and a constant abundance constraint for the atmospheric upwelling component, MCR can be used to successfully compensate thermal infrared hyperspectral images for atmospheric upwelling and, thereby, transmittance effects. Further, MCR can accurately estimate the relative spectral absorption coefficients and thermal contrast distribution of a gas plume component near the minimum detectable quantity.

Stork, Christopher L. (Albuquerque, NM); Van Benthem, Mark H. (Middletown, DE)

2009-02-17T23:59:59.000Z

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

int. j. remote sensing, 1999, vol. 20, no. 17, 3281 3291 A remote sensing and GIS-based model of habitats and biodiversity in  

E-Print Network (OSTI)

int. j. remote sensing, 1999, vol. 20, no. 17, 3281± 3291 A remote sensing and GIS-based model, University of Kansas, Lawrence, KS 66047, USA and §Kansas Applied Remote Sensing (KARS) Program, 2291 Irving 31 May 1998) Abstract. We used remotely sensed data and geographical information systems (GIS

Debinski, Diane M.

142

Neural network uncertainty assessment using Bayesian statistics with application to remote sensing  

E-Print Network (OSTI)

Neural network uncertainty assessment using Bayesian statistics with application to remote sensing for many inversion problems in remote sensing; however, uncertainty estimates are rarely provided Meteorology and Atmospheric Dynamics: General or miscellaneous; KEYWORDS: remote sensing, uncertainty, neural

Aires, Filipe

143

Remote Sensing and Field Mapping: Requisite Bed Fellows for Assessing River Systems  

E-Print Network (OSTI)

al. 1991. What Does Remote Sensing Do For Ecology? Ecology,B. 2006. Introduction to remote sensing. Edition 4. Guilford2004. The role of remote sensing technology in the EU water

Beagle, Julie

2009-01-01T23:59:59.000Z

144

Remote Sensing of Terrestrial and Submerged Aquatic Vegetation in Fire Island National  

E-Print Network (OSTI)

Remote Sensing of Terrestrial and Submerged Aquatic Vegetation in Fire Island National Seashore Satellite Remote Sensing Data in FIIS Vegetation Mapping The vegetation communities and spatial patterns necessary. #12;Hyperspectral Remote Sensing in Seagrass Habitat Mapping Recent development of hyperspectral

Wang, Y.Q. "Yeqiao"

145

A Simple Method of Deriving Three-Dimensional Temperature Fields Using Remotely Sensed and In Situ Data for Application to Numerical Hydrodynamic Models of Estuaries and Bays  

Science Conference Proceedings (OSTI)

This paper describes the subjective interpolation method (SIM) for generating three-dimensional temperature distributions from remotely sensed sea surface temperature (SST) fields. SIM incorporates MATLAB-based cloud removal software and a method ...

Timothy R. Keen; Richard W. Gould; Jean-Francois Cayula; Walton E. McBride; John P. Blaha; Clark Rowley

2004-07-01T23:59:59.000Z

146

Researcher, Los Alamos National Laboratory - Space and Remote Sensing Group  

National Nuclear Security Administration (NNSA)

and Remote Sensing Group and Remote Sensing Group | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > About Us > Who We Are > In The Spotlight > Patrick Colestock Researcher, Los Alamos National Laboratory - Space and Remote Sensing Group Patrick Colestock Patrick Colestock Role: Researcher, Los Alamos National Laboratory - Space and Remote Sensing

147

Structural investigations at the Coso geothermal area using remote sensing  

Open Energy Info (EERE)

investigations at the Coso geothermal area using remote sensing investigations at the Coso geothermal area using remote sensing information, Inyo County, California Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Structural investigations at the Coso geothermal area using remote sensing information, Inyo County, California Details Activities (1) Areas (1) Regions (0) Abstract: Remote sensing studies have been made in and adjacent to the Coso geothermal field using TM FCC satellite imagery, 1:100,000 scale, US Geological Survey orthophotos, 1:24,OOO scale, and proprietary black-and-white photography by California Energy Company, Inc., at various scales including black-and-white positive film transparencies at a scale of 1:6,000. These studies have been made in an attempt to understand the complex geology seen on the surface and to try to improve the method of

148

Spatial Distribution of Surface Fluxes Estimated from Remotely Sensed Variables  

Science Conference Proceedings (OSTI)

This study relates surface fluxes to remotely sensed variables over well-defined variations of surface wetness and vegetation. The surface fluxes are estimated from repeated Twin Otter aircraft flights at 33 m above the surface after correcting ...

Jielun Sun; L. Mahrt

1994-11-01T23:59:59.000Z

149

Field calibration and validation of remote-sensing surveys  

Science Conference Proceedings (OSTI)

The Optical Collection Suite OCS is a ground-truth sampling system designed to perform in situ measurements that help calibrate and validate optical remote-sensing and swath-sonar surveys for mapping and monitoring coastal ...

Shachak Pe'eri, Andy McLeod, Paul Lavoie, Seth Ackerman, James Gardner, Christopher Parrish

2013-09-01T23:59:59.000Z

150

The Fundamental Limitation of Atmospheric Remote Sensing by Dissection...  

NLE Websites -- All DOE Office Websites (Extended Search)

The Fundamental Limitation of Atmospheric Remote Sensing by Dissection of Single-Photon State Space, and the Paradigms that Lie Beyond Illustrated with WAIL, O2 A-BandLine...

151

Oceanographic Field Estimates from Remote Sensing and Glider Fleets  

Science Conference Proceedings (OSTI)

This work investigates the merging of temperature observations from a glider fleet and remote sensing, based on a field experiment conducted in an extended coastal region offshore La Spezia, Italy, in August 2010. Functional optimal interpolation ...

A. Alvarez; B. Mourre

2012-11-01T23:59:59.000Z

152

Remote Sensing of Hail with a Dual Linear Polarization Radar  

Science Conference Proceedings (OSTI)

A technique for the remote sensing of hail with an S-band dual linear polarization radar is described. The method employs a new hail signal HDR, which is derived from disdrometer measurements of raindrop size distributions. Experimental ...

K. Aydin; T. A. Seliga; V. Balaji

1986-10-01T23:59:59.000Z

153

Researcher, Los Alamos National Laboratory - Space and Remote Sensing Group  

NLE Websites -- All DOE Office Websites (Extended Search)

and Remote Sensing Group and Remote Sensing Group | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > About Us > Who We Are > In The Spotlight > Patrick Colestock Researcher, Los Alamos National Laboratory - Space and Remote Sensing Group Patrick Colestock Patrick Colestock Role: Researcher, Los Alamos National Laboratory - Space and Remote Sensing

154

Geobotanical Remote Sensing Applied To Targeting New Geothermal Resource  

Open Energy Info (EERE)

Geobotanical Remote Sensing Applied To Targeting New Geothermal Resource Geobotanical Remote Sensing Applied To Targeting New Geothermal Resource Locations In The Us Basin And Range With A Focus On Dixie Meadows, Nv Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Geobotanical Remote Sensing Applied To Targeting New Geothermal Resource Locations In The Us Basin And Range With A Focus On Dixie Meadows, Nv Details Activities (1) Areas (1) Regions (0) Abstract: This paper presents an overview of the work our collaboration is doing to increase the detailed mapped resource base for geothermal exploration in the Western US. We are imaging several large areas in the western US with high resolution airborne hyperspectral and satellite multispectral sensors. We have now entered the phase where the remote sensing techniques and tools we are developing are mature enough to be

155

Hyperspectral Geobotanical Remote Sensing For Co2 Storage Monitoring | Open  

Open Energy Info (EERE)

Hyperspectral Geobotanical Remote Sensing For Co2 Storage Monitoring Hyperspectral Geobotanical Remote Sensing For Co2 Storage Monitoring Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Book: Hyperspectral Geobotanical Remote Sensing For Co2 Storage Monitoring Details Activities (1) Areas (1) Regions (0) Abstract: This project's goal is to develop remote sensing methods for early detection and spatial mapping, over whole regions simultaneously, of any surface areas under which there are significant CO2 leaks from deep underground storage formations. If large amounts of CO2 gas percolated up from a storage formation below to within plant root depth of the surface, the CO2 soil concentrations near the surface would become elevated and would affect individual plants and their local plant ecologies. Excessive soil CO2 concentrations are observed to significantly affect local plant

156

REMOTE SENSING FOR ENVIRONMENTAL BASELINING AND MONITORING D. B. Reister  

E-Print Network (OSTI)

and monitor environmental issues. By understanding environmental conditions, capital and remediation projects can be accelerated, saving millions of dollars. By monitoring conditions more closelyREMOTE SENSING FOR ENVIRONMENTAL BASELINING AND MONITORING D. B. Reister Oak Ridge National

157

EAST TEXAS FOREST INVENTORY (ETFI) PILOT PROJECT REMOTE SENSING PHASE  

E-Print Network (OSTI)

EAST TEXAS FOREST INVENTORY (ETFI) PILOT PROJECT REMOTE SENSING PHASE Dr. Daniel R. Unger, Remote Resources Institute Arthur Temple College of Forestry Stephen F. Austin State University Nacogdoches, Texas the forest resources of East Texas based on the premise that the quantification and qualification of forest

Hung, I-Kuai

158

Remote Sensing Technology Center of Japan (RESTEC) Collaborative Research and Training  

E-Print Network (OSTI)

Remote Sensing Technology Center of Japan (RESTEC) Collaborative Research and Training of Remote Sensing Technology August 2010 Kyoichi Ito Deputy General Manager Applications and Services Dept. Remote Sensing Technology Center of Japan (RESTEC) #12;Remote Sensing Technology Center of Japan (RESTEC

159

Coupling remote sensing with computational fluid dynamics modelling to estimate lake chlorophyll-a concentration  

E-Print Network (OSTI)

Coupling remote sensing with computational fluid dynamics modelling to estimate lake chlorophyll form 17 October 2000; accepted 1 June 2001 Abstract A remotely sensed image of Loch Leven, a shallow in the remotely sensed image. It is proposed that CFD modelling benefits the interpretation of remotely sensed

160

Remote sensing of the coastal zone: an overview and priorities for future research  

E-Print Network (OSTI)

Remote sensing of the coastal zone: an overview and priorities for future research TIM J. MALTHUS of the International Journal of Remote Sensing on Remote Sensing of the Coastal Marine Environment to highlight recent advances in knowledge of remote sensing of the coastal zone and to define a series of priorities where

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Remote Sensing of Changing Cryosphere, LandIce and Snow -Workshop of the European Association of Remote Sensing Laboratories (EARSeL),  

E-Print Network (OSTI)

Remote Sensing of Changing Cryosphere, LandIce and Snow - Workshop of the European Association of Remote Sensing Laboratories (EARSeL), Bern, Switzerland, 11-13 February 2008 Page 1 Potential and limits Max-Planck Institute of Meteorology, Germany #12;Remote Sensing of Changing Cryosphere, Land

Zahn, Matthias

162

Remote Sensing of Irrigated Agriculture: Opportunities and Challenges  

E-Print Network (OSTI)

Abstract: Over the last several decades, remote sensing has emerged as an effective tool to monitor irrigated lands over a variety of climatic conditions and locations. The objective of this review, which summarizes the methods and the results of existing remote sensing studies, is to synthesize principle findings and assess the state of the art. We take a taxonomic approach to group studies based on location, scale, inputs, and methods, in an effort to categorize different approaches within a logical framework. We seek to evaluate the ability of remote sensing to provide synoptic and timely coverage of irrigated lands in several spectral regions. We also investigate the value of archived data that enable comparison of images through time. This overview of the studies to date indicates that remote sensing-based monitoring of irrigation is at an intermediate stage of development at local scales. For instance, there is overwhelming consensus on the efficacy of vegetation indices in identifying irrigated fields. Also, single date imagery, acquired at peak growing season, may suffice to identify irrigated lands, although to multi-date image data are necessary for improved classification and to distinguish different crop types. At local scales, the mapping of irrigated lands with remote sensing is also strongly affected by the

Mutlu Ozdogan; Yang Yang; George Allez; Chelsea Cervantes

2010-01-01T23:59:59.000Z

163

Remote sensing for wind power potential: a prospector's handbook  

DOE Green Energy (OSTI)

Remote sensing can aid in identifying and locating indicators of wind power potential from the terrestrial, marine, and atmospheric environments (i.e.: wind-deformed trees, white caps, and areas of thermal flux). It is not considered as a tool for determining wind power potential. A wide variety of remotely sensed evidence is described in terms of the scale at which evidence of wind power can be identified, and the appropriate remote sensors for finding such evidence. Remote sensing can be used for regional area prospecting using small-scale imagery. The information from such small-scale imagery is most often qualitative, and if it is transitory, examination of a number of images to verify presistence of the feature may be required. However, this evidence will allow rapid screening of a large area. Medium-scale imagery provides a better picture of the evidence obtained from small-scale imagery. At this level it is best to use existing imagery. Criteria relating to land use, accessibility, and proximity of candidate sites to nearby transmission lines can also be effectively evaluated from medium-scale imagery. Large-scale imagery provides the most quantitative evidence of the strength of wind. Wind-deformed trees can be identified at a large number of sites using only a few hours in locally chartered aircraft. A handheld 35mm camera can adequately document any evidence of wind. Three case studies that employ remote sensing prospecting techniques are described. Based on remotely sensed evidence, the wind power potential in three geographically and climatically diverse areas of the United States is estimated, and the estimates are compared to actual wind data in those regions. In addition, the cost of each survey is discussed. The results indicate that remote sensing for wind power potential is a quick, cost effective, and fairly reliable method for screening large areas for wind power potential.

Wade, J.E.; Maule, P.A.; Bodvarsson, G.; Rosenfeld, C.L.; Woolley, S.G.; McClenahan, M.R.

1983-02-01T23:59:59.000Z

164

On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 5,  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 5, November 2004 Gary A, Suite 140 Alpharetta, Georgia 30022 Contract No. E-23-9 #12;On-Road Remote Sensing of Automobile-day remote sensing study in the Phoenix, AZ area in the fall of 2004. The remote sensor used in this study

Denver, University of

165

On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 4,  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 4, January 2003 Daniel A year of a multi-year remote sensing study in the Denver area. The remote sensor used in this study channel was somewhat significant. #12;On-Road Remote Sensing in the Denver Area: Year 4 2 INTRODUCTION

Denver, University of

166

On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 5,  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 5, January 2005 Gary A, Suite 140 Alpharetta, Georgia 30022 Contract No. E-23-9 #12;On-Road Remote Sensing of Automobile-day remote sensing study in the Denver, CO area in the winter of 2005. The remote sensor used in this study

Denver, University of

167

On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 1  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 1 Gary A. Bishop, Sajal S-day remote sensing study in the Phoenix, AZ area in the fall of 1998. The remote sensor used in this study selected for 1999. On-Road Remote Sensing in the Phoenix Area: Year 1 2 #12;INTRODUCTION Many cities

Denver, University of

168

On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 1  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 1 Peter J. Popp, Sajal S Center Parkway Atlanta, Georgia 30346 CRC Project No. E-23-4-99 #12;On-Road Remote Sensing in the Denver-year remote sensing study in the Denver area. The remote sensor used in this study is capable of measuring

Denver, University of

169

On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 4,  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 4, November 2002 Gary A conducted a five-day remote sensing study in the Phoenix, AZ area in the fall of 2002. The remote sensor #12;On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 4 2 by 5 years

Denver, University of

170

On-Road Remote Sensing of Automobile Emissions in the Omaha Area: Year 2,  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Omaha Area: Year 2, September 2004 Gary A of the work. #12;On-Road Remote Sensing in the Omaha Area: Year 2 2 EXECUTIVE SUMMARY The University of Denver conducted a five-day remote sensing study in the Omaha, Nebraska area in September of 2004. The remote

Denver, University of

171

Geothermal Exploration Using Aviris Remote Sensing Data Over Fish Lake  

Open Energy Info (EERE)

Using Aviris Remote Sensing Data Over Fish Lake Using Aviris Remote Sensing Data Over Fish Lake Valley, Nv Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Geothermal Exploration Using Aviris Remote Sensing Data Over Fish Lake Valley, Nv Details Activities (1) Areas (1) Regions (0) Abstract: Fish Lake Valley, in Esmeralda County, Nevada, sits at the southern end of the Mina Deflection where the very active Death Valley-Furnace Creek-Fish Lake Valley fault system makes a right step to transfer slip northward into the Walker Lane. Northern Fish Lake Valley has been pulling part since ca. 6 Ma, primarily along the Emigrant Peak normal fault zone (Stockli et al., 2003). Elevated tectonic activity in Fish Lake Valley suggests there may be increased fracture permeability to facilitate

172

An Integrated Mapping And Remote Sensing Investigation Of The Structural  

Open Energy Info (EERE)

Mapping And Remote Sensing Investigation Of The Structural Mapping And Remote Sensing Investigation Of The Structural Control For Fumarole Location In The Eburru Volcanic Complex, Kenya Rift Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: An Integrated Mapping And Remote Sensing Investigation Of The Structural Control For Fumarole Location In The Eburru Volcanic Complex, Kenya Rift Details Activities (0) Areas (0) Regions (0) Abstract: The Eburru volcanic complex is located in the central portion of the Kenya Rift. It belongs to the complex of volcanoes - Suswa, Longonot, Olkaria, Eburru, and Menengai - that. form the Kenya Dome. These volcanoes are geothermal fields, and Olkaria is the site for the first geothermal power plant commissioned in 1981 in the East African Rift System (EARS).

173

Hyperspectral Remote Sensing Techniques For Locating Geothermal Resources |  

Open Energy Info (EERE)

Hyperspectral Remote Sensing Techniques For Locating Geothermal Resources Hyperspectral Remote Sensing Techniques For Locating Geothermal Resources Jump to: navigation, search OpenEI Reference LibraryAdd to library Poster: Hyperspectral Remote Sensing Techniques For Locating Geothermal Resources Abstract Demonstrating the effectiveness of hyperspectral sensors to explore for geothermal resources will be critical to our nation's energy security plans. Discovering new geothermal resources will contribute to established renewable energy capacity and lower our dependence upon fuels that contribute to green house gas emissions. The use of hyperspectral data and derived imagery products is currently helping exploration managers gain greater efficiencies and drilling success. However, more work is needed as geologists continue to learn about hyperspectral imaging and, conversely,

174

Geobotanical Remote Sensing For Geothermal Exploration | Open Energy  

Open Energy Info (EERE)

For Geothermal Exploration For Geothermal Exploration Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Book: Geobotanical Remote Sensing For Geothermal Exploration Details Activities (1) Areas (1) Regions (0) Abstract: This paper presents a plan for increasing the mapped resource base for geothermal exploration in the Western US. We plan to image large areas in the western US with recently developed high resolution hyperspectral geobotanical remote sensing tools. The proposed imaging systems have the ability to map visible faults, surface effluents, historical signatures, and discover subtle hidden faults and hidden thermal systems. Large regions can be imaged at reasonable costs. The technique of geobotanical remote sensing for geothermal signatures is based on recent successes in mapping faults and effluents the Long Valley Caldera and

175

A remote sensing observatory for hydrologic sciences: A genesis for scaling to continental hydrology  

E-Print Network (OSTI)

A remote sensing observatory for hydrologic sciences: A genesis for scaling to continental. It is in this spirit that we advocate establishing a hydrologic remote sensing observatory (RSO) to advance sensing al. (2006), A remote sensing observatory for hydrologic sciences: A genesis for scaling

Katul, Gabriel

176

Remote Sensing For Geothermal Exploration Over Buffalo Valley, Nv | Open  

Open Energy Info (EERE)

Sensing For Geothermal Exploration Over Buffalo Valley, Nv Sensing For Geothermal Exploration Over Buffalo Valley, Nv Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Remote Sensing For Geothermal Exploration Over Buffalo Valley, Nv Details Activities (1) Areas (1) Regions (0) Abstract: Remote sensing is a useful tool for identifying the surface expression of geothermal systems based on characteristic mineral assemblages that result from hydrothermal alteration (Kratt et al., 2004; Vaughan et al., 2005). Buffalo Valley in Pershing and Lander Counties, Nevada, is an area of high potential for geothermal energy production (Shevenell et al., 2004). Geothermal heat is expressed by several hot springs with surface temperatures of up to 79°C (Olmsted et al., 1975). The hot springs and a chain of Quaternary cinder cones appear to be

177

U-247: EMC Cloud Tiering Appliance Flaw Lets Remote Users Bypass  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7: EMC Cloud Tiering Appliance Flaw Lets Remote Users Bypass 7: EMC Cloud Tiering Appliance Flaw Lets Remote Users Bypass Authentication and Gain Administrative Access U-247: EMC Cloud Tiering Appliance Flaw Lets Remote Users Bypass Authentication and Gain Administrative Access August 29, 2012 - 6:00am Addthis PROBLEM: EMC Cloud Tiering Appliance Flaw Lets Remote Users Bypass Authentication and Gain Administrative Access PLATFORM: EMC Cloud Tiering Appliance (CTA) 7.4 and prior EMC Cloud Tiering Appliance Virtual Edition (CTA/VE) 7.4 and prior EMC Cloud Tiering Appliance (CTA) 9.0 and prior EMC Cloud Tiering Appliance Virtual Edition (CTA/VE) 9.0 and prior ABSTRACT: A vulnerability was reported in EMC Cloud Tiering Appliance. reference LINKS: SecurityTracker Alert ID: 1027448 Bugtraq ID: 55250 EMC.com CVE-2012-2285 IMPACT ASSESSMENT:

178

Remote sensing for detection of cotton aphid- (Homoptera : Aphididae) and spider mite- (Acari : Tetranychidae) infested cotton in the San Joaquin Valley  

E-Print Network (OSTI)

using multispectral remote sensing. Proc. Beltwide Cottonusing multispectral remote sensing. Proc. Beltwide CottonRichards, J.A. 1993. Remote sensing digital image analysis.

Reisig, D; Godfrey, L

2006-01-01T23:59:59.000Z

179

Using Remote Sensing for Natural Disaster Management Tara Srihari  

E-Print Network (OSTI)

and maintenance [5]. #12;2.1 Acquiring Data Disaster response is dynamic and time sensitive. Some data needsUsing Remote Sensing for Natural Disaster Management Tara Srihari Department of Computing Sciences.srihari@villanova.edu December 8, 2008 Abstract Natural disasters can cause devastating human, property, and economic loss

180

The Fog Remote Sensing and Modeling Field Project  

Science Conference Proceedings (OSTI)

The main purpose of this work is to describe a major field project on fog and summarize the preliminary results. Three field phases of the Fog Remote Sensing and Modeling (FRAM) project were conducted over the following two regions of Canada: 1) ...

I. Gultepe; B. Hansen; S. G. Cober; G. Pearson; J. A. Milbrandt; S. Platnick; P. Taylor; M. Gordon; J. P. Oakley

2009-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Remote Sensing Of Photosynthetic Processes By Photochemical Reflectance Index (PRI)  

Science Conference Proceedings (OSTI)

The Photochemical Reflectance Index (PRI) has been proposed as a tool for the estimation of leaf and canopy light?use efficiency and photosynthesis from remote?sensing data. The application of the index is based on more than fifteen years of spectroscopic studies at the leaf level

S. Raddi; S. Cortes; E. Vicinelli; F. Magnani

2006-01-01T23:59:59.000Z

182

A new parallel tool for classification of remotely sensed imagery  

Science Conference Proceedings (OSTI)

In this paper, we describe a new tool for classification of remotely sensed images. Our processing chain is based on three main parts: (1) pre-processing, performed using morphological profiles which model both the spatial (high resolution) and the spectral ... Keywords: Google maps' engine, Graphics processing units (GPUs), Information extraction, Parallel processing, Satellite image classification

Sergio Bernabé; Antonio Plaza; Prashanth Reddy Marpu; Jon Atli Benediktsson

2012-09-01T23:59:59.000Z

183

REMOTE SENSING OF BURN SEVERITY AND THE INTERACTIONS BETWEEN BURN SEVERITY, TOPOGRAPHY AND VEGETATION IN INTERIOR ALASKA  

E-Print Network (OSTI)

REMOTE SENSING OF BURN SEVERITY AND THE INTERACTIONS BETWEEN BURN SEVERITY, TOPOGRAPHY likely to change vegetation type. Finally, vegetation recovery, estimated using a remotely-sensed................................................................................6 Chapter 2. Mapping Burn Severity Using Satellite Remote Sensing..........................8

Ruess, Roger W.

184

Post-fire hydrologic behavior and recovery: Advancing spatial and temporal prediction with an emphasis on remote sensing  

E-Print Network (OSTI)

Engineering and Remote Sensing, Vol. 70, no 7, July 2004,burning with the use of remote sensing and GIS. Catena, 70:regeneration after fire by remote sensing. In: Traboud, L. (

Kinoshita, Alicia

2012-01-01T23:59:59.000Z

185

Remote Sensing and Control for Establishing and Maintaining Digital Irrigation  

E-Print Network (OSTI)

The remotely sensed data from an unknown location is transmitted in real time through internet and gathered in a PC. The data is collected for a considerable period of time and analyzed in PC as to assess the suitability and fertility of the land for establishing an electronic plantation in that area. The analysis also helps deciding the plantation of appropriate plants in the location identified. The system performing this task with appropriate transducers installed in remote area, the methodologies involved in transmission and data gathering are reported.. The second part of the project deals with data gathering from remote site and issuing control signals to remote appliances in the site; all performed through internet. Therefore, this control scheme is a duplex system monitoring the irrigation activities by collecting data in one direction and issuing commands on the opposite direction. This scheme maintains the digital irrigation systems effectively and efficiently as to utilize the resources optimally f...

cellatoglu, Akin

2012-01-01T23:59:59.000Z

186

Compressed Remote Sensing of Sparse Objects  

E-Print Network (OSTI)

The linear inverse source and scattering problems are studied from the perspective of compressed sensing, in particular the idea that sufficient incoherence and sparsity guarantee uniqueness of the solution. By introducing the sensor as well as target ensembles, the maximum number of recoverable targets is proved to be at least proportional to the number of measurement data modulo a log-square factor with overwhelming probability. Important contributions of the analysis include the discoveries of the threshold aperture, consistent with the classical Rayleigh criterion, and the decoherence effect induced by random antenna locations. The prediction of theorems are confirmed by numerical simulations.

Fannjiang, Albert; Strohmer, Thomas

2009-01-01T23:59:59.000Z

187

Remote sensing of breaking wave phase speeds with application to non-linear depth inversions  

E-Print Network (OSTI)

Remote sensing of breaking wave phase speeds with application to non-linear depth inversions high-resolution remote sensing video and surface elevation records from fixed, in-situ wave gages. Wave phase speeds are extracted from the remote sensing data using a feature tracking technique, and local

Haller, Merrick

188

On-Road Remote Sensing of Vehicle Exhaust Emissions in Auckland, New Zealand  

E-Print Network (OSTI)

On-Road Remote Sensing of Vehicle Exhaust Emissions in Auckland, New Zealand S. Xie, J. G. Bluett Zealand's vehicle fleet. The remote sensing campaign was implemented to establish the emissions profile of this remote sensing campaign was to redress this knowledge gap, improve understanding of the emissions

Denver, University of

189

On-Road Remote Sensing of Automobile Emissions in the Los Angeles Area: Year 3  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Los Angeles Area: Year 3 (Riverside) Sajal S., Suite 140 Alpharetta, GA. 30022 Contract No. E-23-4 #12;On-Road Remote Sensing in the Los Angeles Area sensing study in the Los Angeles, CA area. The remote sensor used in this study is capable of measuring

Denver, University of

190

ON-ROAD REMOTE SENSING OF CO AND HC EMISSIONS IN CALIFORNIA  

E-Print Network (OSTI)

#12;ON-ROAD REMOTE SENSING OF CO AND HC EMISSIONS IN CALIFORNIA Final Report Contract No. A032 in fulfillment of A032-093, On-Road Remote Sensing of CO and HC Emissions in California by the University to accelerations and cruises entering a freeway ramp at highway speeds. The remote sensing device measures the CO

Denver, University of

191

On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 4  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 4 Sajal S. Pokharel, Gary Alpharetta, Georgia 30022 Contract No. E-23-4 #12;On-Road Remote Sensing in the Chicago Area: Year 4 2 EXECUTIVE SUMMARY The University of Denver has completed the first four years of a multi-year remote sensing

Denver, University of

192

On-Road Remote Sensing of Automobile Emissions in the LaBrea Area: Year 2  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the LaBrea Area: Year 2 Mitchell J. Williams 140 Alpharetta, Georgia 30022 Contract No. E-23-4 #12;On-Road Remote Sensing of Automobile Emissions in the LaBrea Area: Year 2 1 EXECUTIVE SUMMARY The University of Denver conducted a five-day remote sensing

Denver, University of

193

On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 5,  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 5, September 2002 Gary A five years of a multi-year remote sensing study in the Chicago area, with measurements made as to the extent I/M programs and #12;On-Road Remote Sensing in the Chicago Area: Year 5 2 special fuels contribute

Denver, University of

194

Remote sensing estimates of glacier mass balances in the Himachal Pradesh (Western Himalaya, India)  

E-Print Network (OSTI)

Remote sensing estimates of glacier mass balances in the Himachal Pradesh (Western Himalaya, India., Rajesh K., Sarfaraz A., Wagnon P., & Chevallier P., Remote sensing estimates of glacier mass balances in the Himachal Pradesh (Western Himalaya, India). Remote Sensing Environ., 108(3), 327-338, doi:10.1016/j

Paris-Sud XI, Université de

195

Remote sensing approaches for reconstructing fire perimeters and burn severity mosaics in desert spring ecosystems  

E-Print Network (OSTI)

Remote sensing approaches for reconstructing fire perimeters and burn severity mosaics in desert. Remote sensing methods have been used in other environments to gain information about fires that have reported sizes of less than one hectare. Additional refinement of remote sensing methods is necessary

Weisberg, Peter J.

196

Remote sensing the wind using Lidars and Sodars Ioannis Antoniou (1)  

E-Print Network (OSTI)

Remote sensing the wind using Lidars and Sodars Ioannis Antoniou (1) , Mike Courtney(1) , Hans E in increased hub heights and increased rotor diameters, thus making remote sensing an important issue for wind energy applications. Remote sensing techniques offer the ability to determine wind speed and direction

197

Satellite Remote Sensing and GIS -FS 2011 The aims of this course are threefold  

E-Print Network (OSTI)

Programme Satellite Remote Sensing and GIS - FS 2011 Aims The aims of this course are threefold of satellite remote sensing, often in relation to GIS, in different disciplines with invited speakers from about what is happening with satellite remote sensing in Switzerland and how it works in professional

Giger, Christine

198

Remote sensing image segmentation by active queries Devis Tuia a,n  

E-Print Network (OSTI)

Remote sensing image segmentation by active queries Devis Tuia a,n , Jordi Mun~oz-Mari´ b , Gustavo Multiscale image segmentation Remote sensing Hyperspectral imagery Multispectral imagery a b s t r a c- istics in a compact way. For remote sensing image segmentation, the selected samples are the most

Camps-Valls, Gustavo

199

Satellite remote sensing for an ecosystem approach to fisheries E. Chassot1  

E-Print Network (OSTI)

Satellite remote sensing for an ecosystem approach to fisheries management E. Chassot1 *, S 24; fax: +33 499 57 32 95; e-mail: Emmanuel.chassot@ird.fr. Satellite remote sensing (SRS and associated fish aggregation. Second, we provide a comprehensive review of remotely sensed data applications

Paris-Sud XI, Université de

200

Foreword to the Special Issue on Pattern Recognition in Remote Sensing  

E-Print Network (OSTI)

1 Foreword to the Special Issue on Pattern Recognition in Remote Sensing The constant increase in the amount of remotely sensed images as well as the urgent need for the extraction of useful information from techniques to unsolved problems in remote sensing image analysis that cannot be handled by using traditional

Aksoy, Selim

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Texas A&M University Dept. of Forest Science Course title Advanced Remote Sensing  

E-Print Network (OSTI)

1 Texas A&M University Dept. of Forest Science Course title Advanced Remote Sensing Course number of this course is twofold: to introduce students with a basic knowledge of remote sensing to advanced topics in digital remote sensing applications and to instill enthusiasm in this subject area to encourage future

202

On-Road Remote Sensing of Heavy-duty Diesel Truck  

E-Print Network (OSTI)

On-Road Remote Sensing of Heavy-duty Diesel Truck Emissions in the Austin- San Marcos Area: August Denver, CO 80208 November 1998 UNIVERSITY Of DENVER #12;Remote Sensing of Heavy-duty Trucks in Austin be observed by probing the exhaust. In the process of measuring the ratios, the remote sensing unit results

Denver, University of

203

APPLICATION OF REMOTE SENSING AND GIS FOR GEOLOGICAL INVESTIGATION AND GROUNDWATER POTENTIAL ZONE IDENTIFICATION,  

E-Print Network (OSTI)

APPLICATION OF REMOTE SENSING AND GIS FOR GEOLOGICAL INVESTIGATION AND GROUNDWATER POTENTIAL ZONE FOR THE DEGREE OF MASTER OF SCIENCE IN GIS AND REMOTE SENSING BY TEWODROS RANGO GODEBO JULY 2005 #12;INTRODUCTION been done with the absence of the application of Remote Sensing and Geographic Information System (GIS

Mege, Daniel

204

On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 3  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 3 Sajal S. Pokharel, Gary Alpharetta, Georgia 30022 Contract No. E-23-4 #12;On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 3 1 EXECUTIVE SUMMARY The University of Denver conducted a five-day remote sensing

Denver, University of

205

A CIESIN Thematic Guide to Social Science Applications of Remote Sensing  

E-Print Network (OSTI)

A CIESIN Thematic Guide to Social Science Applications of Remote Sensing Alex de Sherbinin 1-98162 #12;CIESIN Thematic Guides Social Science Applications of Remote Sensing 2 Copyright © 2002://sedac.ciesin.columbia.edu/tg/guide_main.jsp. #12;CIESIN Thematic Guides Social Science Applications of Remote Sensing 3 1.0 ­ Social Science

Columbia University

206

Colorado State University Title: Graduate Research Assistantship in Remote Sensing of  

E-Print Network (OSTI)

Colorado State University Title: Graduate Research Assistantship in Remote Sensing of Vegetation vegetation Evapotranspiration (ET) using Remote Sensing (RS) methods. The focus will be on determining actual content sensors and remote sensing/GIS is desirable but not required. Experience or familiarity

207

On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 2  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 2 Sajal S. Pokharel, Gary A Alpharetta, Georgia 30022 CRC Project No. E-23-4 #12;On-Road Remote Sensing in the Denver Area: Year 2 2 EXECUTIVE SUMMARY The University of Denver has completed the second year of a five-year remote sensing study

Denver, University of

208

GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. , NO. , 200 1 An automatized frequency analysis for vine plot  

E-Print Network (OSTI)

GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. , NO. , 200 1 An automatized frequency analysis for vine plot detection and delineation in remote sensing Carole Delenne, Gilles Rabatel and Michel high spatial resolution remotely sensed data. About 89% of vine plots are detected corresponding

Paris-Sud XI, Université de

209

On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 6,  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 6, January 2007 Gary A 80208 June 2007 #12;On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 6 1 EXECUTIVE SUMMARY The University of Denver conducted a three-day remote sensing study in the Denver, CO area

Denver, University of

210

On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 3  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 3 Sajal S. Pokharel, Gary Alpharetta, Georgia 30022-8246 Contract No. E-23-4 #12;On-Road Remote Sensing in the Chicago Area: Year 3 2 EXECUTIVE SUMMARY The University of Denver has completed the first three years of a five-year remote sensing

Denver, University of

211

On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 2  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 2 Sajal S. Pokharel, Gary Alpharetta, Georgia 30022 Contract No. E-23-4 #12;On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 2 1 EXECUTIVE SUMMARY The University of Denver conducted a five-day remote sensing

Denver, University of

212

On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 1  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 1 Peter J. Popp, Gary A, Georgia 30346 Contract No. E-23-4 #12;On-Road Remote Sensing in the Chicago Area: Year 1 2 EXECUTIVE SUMMARY The University of Denver conducted a five-day remote sensing study in the Chicago area in the fall

Denver, University of

213

Remote-sensing reflectance determinations in the coastal ocean environment: impact of  

E-Print Network (OSTI)

Remote-sensing reflectance determinations in the coastal ocean environment: impact of instrumental the potential impact of instrumental characteristics and environmental variability on shipboard remote-sensing above the sea surface by 8­18%, and remote-sensing reflectance by 12­24%. Variations in radio- metric

Siegel, David A.

214

Integrating remote sensing and GIS for prediction of rice protein contents  

E-Print Network (OSTI)

#12;1 Integrating remote sensing and GIS for prediction of rice protein contents Chanseok RYU1 harvest was established by remote sensing (RS) and analyzed to select the key management factors the key management factor by the difference in the Field GreenNDVI. Keywords: remote sensing, geographic

Takada, Shoji

215

On-Road Remote Sensing of Automobile Emissions in the Los Angeles Area: Year 2  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Los Angeles Area: Year 2 Sajal S. Pokharel Alpharetta, GA. 30022 Contract No. E-23-4 #12;On-Road Remote Sensing in the Los Angeles Area: Year 2 2 EXECUTIVE SUMMARY The University of Denver conducted the second year of a five year remote sensing study

Denver, University of

216

Applying Remote Sensing to Paleontology Studies in the State of Arizona, USA. Alberto Jimnez1  

E-Print Network (OSTI)

Applying Remote Sensing to Paleontology Studies in the State of Arizona, USA. Alberto Jiménez1 1 of remote sensing in the last decade have proven to be quite essential in its widespread use in geology: Remote sensing, paleontology, prospecting, Arizona, Landsat, ETM+ INTRODUCTION Improvements

Gilbes, Fernando

217

On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 3  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 3 Sajal S. Pokharel, Gary A Alpharetta, Georgia 30022 CRC Project No. E-23-4 #12;On-Road Remote Sensing in the Denver Area: Year 3 2 EXECUTIVE SUMMARY The University of Denver has completed the third year of a multi-year remote sensing study

Denver, University of

218

Remote Sensing of Commercial Aircraft Emissions Peter J. Popp & Donald H. Stedman  

E-Print Network (OSTI)

Remote Sensing of Commercial Aircraft Emissions Peter J. Popp & Donald H. Stedman Department;Remote Sensing of Commercial Aircraft Emissions 2 Introduction On September 23 and 24, 1997, a study to create an open-air sample path between them, approximately 20 feet in #12;Remote Sensing of Commercial

Denver, University of

219

Polarimetric Remote Sensing in the Visible to Near Infrared James R. Shell II  

E-Print Network (OSTI)

Polarimetric Remote Sensing in the Visible to Near Infrared by James R. Shell II B.S. Physics Title of Dissertation: Polarimetric Remote Sensing in the Visible to Near Infrared I, James R. Shell II Remote Sensing in the Visible to Near Infrared by James R. Shell II Submitted to the Chester F. Carlson

Salvaggio, Carl

220

REMOTE SENSING TECHNIQUES FOR LAND USE CLASSIFICATION OF RIO JAUCA WATERSHED USING IKONOS IMAGES  

E-Print Network (OSTI)

REMOTE SENSING TECHNIQUES FOR LAND USE CLASSIFICATION OF RIO JAUCA WATERSHED USING IKONOS IMAGES-Mayagüez E-mail: edwinmm80@yahoo.com Key words: GIS, remote sensing, land use, supervised classification resource and supplies water to the metropolitan area. Remote sensing techniques can be used to assess

Gilbes, Fernando

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Analysis of Remote Sensing Data for Development of I/M Program Evaluation  

E-Print Network (OSTI)

Analysis of Remote Sensing Data for Development of I/M Program Evaluation Protocols Sajal S 48105 Order number: 9A-0633-NAEX #12;Analysis of Remote Sensing Data for Development of I/M Program of Remote Sensing Data for Development of I/M Program Evaluation Protocols 2 226.5 nm in the ultraviolet

Denver, University of

222

On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 6,  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 6, September 2004 Gary A, Suite 140 Alpharetta, Georgia 30022 Contract No. E-23-9 #12;On-Road Remote Sensing in the Chicago Area-year remote sensing study in the Chicago area, with measurements made in September of 1997 through 2000, 2002

Denver, University of

223

Satellite remote sensing of surface air quality Randall V. Martin a,b,*  

E-Print Network (OSTI)

Review Satellite remote sensing of surface air quality Randall V. Martin a,b,* a Department 2007 Received in revised form 26 June 2008 Accepted 2 July 2008 Keywords: Remote sensing Air quality Satellite Pollution Emissions a b s t r a c t Satellite remote sensing of air quality has evolved

Martin, Randall

224

On-Road Remote Sensing of Automobile Emissions in the La Brea Area: Year 3,  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the La Brea Area: Year 3, October 2003 Gary A, Suite 140 Alpharetta, Georgia 30022 Contract No. E-23-4 #12;On-Road Remote Sensing in the La Brea Area: Year 3 1 EXECUTIVE SUMMARY The University of Denver conducted a five-day remote sensing study in the La

Denver, University of

225

Satellite Remote Sensing and GIS -FS 2012 The aims of this course are threefold  

E-Print Network (OSTI)

Programme Satellite Remote Sensing and GIS - FS 2012 Aims The aims of this course are threefold of satellite remote sensing, often in relation to GIS, in different disciplines with invited speakers from about what is happening with satellite remote sensing in Switzerland and how it works in professional

Giger, Christine

226

On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 2  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 2 Peter J. Popp, Gary A Atlanta, Georgia 30346 Contract No. E-23-4 #12;On-Road Remote Sensing in the Chicago Area: Year 2 2 EXECUTIVE SUMMARY The University of Denver has completed the first two years of a five-year remote sensing

Denver, University of

227

On-Road Remote Sensing of Automobile Emissions in west Los Angeles: Year 4,  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in west Los Angeles: Year 4, October 2005 Gary A Alpharetta, Georgia 30022 Contract No. E-23-9 #12;On-Road Remote Sensing in west Los Angeles: Year 4 1 EXECUTIVE SUMMARY The University of Denver conducted a five-day remote sensing study in west Los Angeles

Denver, University of

228

Special Section Guest Editorial: High-Performance Computing in Applied Remote Sensing  

E-Print Network (OSTI)

Special Section Guest Editorial: High-Performance Computing in Applied Remote Sensing Bormin Huanga-performance computing in applied remote sensing presents the state-of-the-art research in incorporating high-performance computing (HPC) facilities and algorithms for effective and efficient remote sensing applications

Plaza, Antonio J.

229

Dr. Yeqiao (Y.Q.) Wang Professor in Terrestrial Remote Sensing  

E-Print Network (OSTI)

1 Dr. Yeqiao (Y.Q.) Wang Professor in Terrestrial Remote Sensing Department of Natural Resources://www.ltrs.uri.edu ________________________________________________________________________ Research Interests My research interests and teaching responsibilities are in terrestrial remote sensing. M.Sc., Natural Resources Management & Engineering: Univ. of Connecticut, 1992. M.Sc., Remote Sensing

Wang, Y.Q. "Yeqiao"

230

Satellite Remote Sensing and GIS -FS 2013 The aims of this course are threefold  

E-Print Network (OSTI)

Programme Satellite Remote Sensing and GIS - FS 2013 Aims The aims of this course are threefold of satellite remote sensing, often in relation to GIS, in different disciplines with invited speakers from about what is happening with satellite remote sensing in Switzerland and how it works in professional

Giger, Christine

231

On-Road Remote Sensing of Automobile Emissions in the Los Angeles Area  

E-Print Network (OSTI)

On-Road Remote Sensing of Automobile Emissions in the Los Angeles Area: Year 1 Gary A. Bishop a nine-day remote sensing study in the Los Angeles, CA area in the summer of 1999. The remote sensor used study to characterize motor vehicle emissions and deterioration in the Los Angeles area. On-Road Remote

Denver, University of

232

The Classification of Land Cover Derived from High Resolution Remote Sensing Imagery  

Science Conference Proceedings (OSTI)

Remote sensing imagery is an attractive source of land cover information. High resolution sensing imagery provides more land cover detail than low resolution sensing imagery. Due to more complex and noisier spectral signatures for the former, new algorithms ... Keywords: Remote Sensing Imagery, Spectral Information, Spatial Information, Classification

Xia Jun; Liu Jinmei; Wang Guoyu; Li Jizhong

2011-03-01T23:59:59.000Z

233

Remote sensing for geothermal environmental assessments. Final report  

DOE Green Energy (OSTI)

The role of remote sensing is examined in the context of the DOE Environmental Assessment Studies. Particular attention has been paid to the exploitation, by computer analysis, of low altitude aerial photographs, which had been made available for this project. One technique, change detection - developed during this project - has been found to be particularly useful, because it permits to detect environmental changes at a very early stage where it might escape detection on the ground. This technique, which has now been perfected to be usable on a routine basis, can thus provide a very effective environmental early warning capability. Several examples are shown in known Geothermal Resource Areas (KGRA's) in the Imperial Valley and the Geysers, California, which lead to the conclusion that remote sensing should become an essential tool for the Environmental Assessment Studies.

Frei, W.; Shibata, T.; Huth, G.C.

1979-06-30T23:59:59.000Z

234

Soil moisture modeling and scaling using passive microwave remote sensing  

E-Print Network (OSTI)

Soil moisture in the shallow subsurface is a primary hydrologic state governing land-atmosphere interaction at various scales. The primary objectives of this study are to model soil moisture in the root zone in a distributed manner and determine scaling properties of surface soil moisture using passive microwave remote sensing. The study was divided into two parts. For the first study, a root zone soil moisture assessment tool (SMAT) was developed in the ArcGIS platform by fully integrating a one-dimensional vadose zone hydrology model (HYDRUS-ET) with an ensemble Kalman filter (EnKF) data assimilation capability. The tool was tested with dataset from the Southern Great Plain 1997 (SGP97) hydrology remote sensing experiment. Results demonstrated that SMAT displayed a reasonable capability to generate soil moisture distribution at the desired resolution at various depths of the root zone in Little Washita watershed during the SGP97 hydrology remote sensing experiment. To improve the model performance, several outstanding issues need to be addressed in the future by: including "effective" hydraulic parameters across spatial scales; implementing subsurface soil properties data bases using direct and indirect methods; incorporating appropriate hydrologic processes across spatial scales; accounting uncertainties in forcing data; and preserving interactions for spatially correlated pixels. The second study focused on spatial scaling properties of the Polarimetric Scanning Radiometer (PSR)-based remotely sensed surface soil moisture fields in a region with high row crop agriculture. A wavelet based multi-resolution technique was used to decompose the soil moisture fields into larger-scale average soil moisture fields and fluctuations in horizontal, diagonal and vertical directions at various resolutions. The specific objective was to relate soil moisture variability at the scale of the PSR footprint (800 m X 800 m) to larger scale average soil moisture field variability. We also investigated the scaling characteristics of fluctuation fields among various resolutions. The spatial structure of soil moisture exhibited linearity in the log-log dependency of the variance versus scale-factor, up to a scale factor of -2.6 (6100 m X 6100 m) irrespective of wet and dry conditions, whereas dry fields reflect nonlinear (multi-scaling) behavior at larger scale-factors.

Das, Narendra N.

2005-12-01T23:59:59.000Z

235

V-071: Cisco ASA 1000V Cloud Firewall H.323 Inspection Bug Lets Remote  

NLE Websites -- All DOE Office Websites (Extended Search)

71: Cisco ASA 1000V Cloud Firewall H.323 Inspection Bug Lets 71: Cisco ASA 1000V Cloud Firewall H.323 Inspection Bug Lets Remote Users Deny Service V-071: Cisco ASA 1000V Cloud Firewall H.323 Inspection Bug Lets Remote Users Deny Service January 17, 2013 - 12:00am Addthis PROBLEM: Cisco ASA 1000V Cloud Firewall H.323 Inspection Bug Lets Remote Users Deny Service PLATFORM: The vulnerability is reported in versions 8.7.1 and 8.7.1.1. ABSTRACT: A vulnerability has been reported in Cisco ASA 1000V Cloud Firewall REFERENCE LINKS: Cisco Advisory ID: cisco-sa-20130116-asa1000v SecurityTracker Alert ID: 1028005 Secunia Advisory SA51897 CVE-2012-5419 IMPACT ASSESSMENT: Medium DISCUSSION: A vulnerability has been reported in Cisco ASA 1000V Cloud Firewall, which can be exploited by malicious people to cause a DoS (Denial of Service).

236

ON-ROAD REMOTE SENSING OF VEHICLE EMISSIONS IN MONTERREY, N.L. MEXICO  

E-Print Network (OSTI)

ON-ROAD REMOTE SENSING OF VEHICLE EMISSIONS IN MONTERREY, N.L. MEXICO Final Report Prepared for the University of Denver traveled to Monterrey, N.L. Mexico to monitor remotely the carbon monoxide (CO

Denver, University of

237

Remote Sensing of In-Use Heavy-Duty Diesel Trucks  

E-Print Network (OSTI)

Remote Sensing of In-Use Heavy-Duty Diesel Trucks D A N I E L A . B U R G A R D , G A R Y A . B I this study suggest that on-road remote sensing can detect illegal, high sulfur fuel use from individual heavy,HDDvehiclesemissionshavereceivedgrowing attentioninavarietyofstudiessuchaschassisdynamometers (5, 6), in a tunnel (7), and remote sensing (8-10) as well as one critical review (4

Denver, University of

238

Alternative representations of in-stream habitat: classification using remote sensing, hydraulic modeling, and fuzzy logic  

E-Print Network (OSTI)

C. , 1996, Two-dimensional hydraulic simulation of physicalfish: Linking statistical hydraulic models with multivariateusing Remote Sensing, Hydraulic Modeling, and Fuzzy Logic

Legleiter, Carl J.; Goodchild, M F

2005-01-01T23:59:59.000Z

239

Special Section Guest Editorial: Advances in Remote Sensing for Monitoring Global Environmental Changes  

SciTech Connect

This paper focuses on advances in remote sensing for monitoring global environmental changes, and discussed10 papers selected from a number of areas of expertise.

Zhou, Yuyu; Weng, Qihao; Chang, Ni-Bin

2012-12-05T23:59:59.000Z

240

Assessing the Effectiveness of Louisiana's Freshwater Diversion Projects Using Remote Sensing.  

E-Print Network (OSTI)

??Southern Louisiana is experiencing a dramatic loss of freshwater wetlands as a result of natural and man-made changes in the landscape. Multitempral remotely sensed data… (more)

Metzger, Michael G.

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Integrating Ecosystem Sampling, Gradient Modeling, Remote Sensing, and Ecosystem Simulation to Create Spatially Explicit Landscape Inventories  

E-Print Network (OSTI)

ecosystem sampling, gradient modeling, remote sensing, and ecosystem simulation to create spatially explicit landscape inventories. RMRS-GTR-92. Fort Collins, CO: U.S. Department

United States; Forest Service; Robert E. Keane; Matthew G. Rollins; Cecilia H. Mcnicoll; Russell A. Parsons Abstract

2002-01-01T23:59:59.000Z

242

A Remote sensing change detection study in the arid Richtersveld region of South Africa.  

E-Print Network (OSTI)

?? The Richtersveld falls within the succulent karoo and dester biomes. This studu made use of remote sensing technologies in order to investigate possible vegetation… (more)

Main, Russell Stuart.

2007-01-01T23:59:59.000Z

243

Laser remote sensing of backscattered light from a target sample  

DOE Patents (OSTI)

A laser remote sensing apparatus comprises a laser to provide collimated excitation light at a wavelength; a sensing optic, comprising at least one optical element having a front receiving surface to focus the received excitation light onto a back surface comprising a target sample and wherein the target sample emits a return light signal that is recollimated by the front receiving surface; a telescope for collecting the recollimated return light signal from the sensing optic; and a detector for detecting and spectrally resolving the return light signal. The back surface further can comprise a substrate that absorbs the target sample from an environment. For example the substrate can be a SERS substrate comprising a roughened metal surface. The return light signal can be a surface-enhanced Raman signal or laser-induced fluorescence signal. For fluorescence applications, the return signal can be enhanced by about 10.sup.5, solely due to recollimation of the fluorescence return signal. For SERS applications, the return signal can be enhanced by 10.sup.9 or more, due both to recollimation and to structuring of the SERS substrate so that the incident laser and Raman scattered fields are in resonance with the surface plasmons of the SERS substrate.

Sweatt, William C. (Albuquerque, NM); Williams, John D. (Albuquerque, NM)

2008-02-26T23:59:59.000Z

244

Remote Sensing of Ammonia and Sulfur Dioxide from On-Road Light  

E-Print Network (OSTI)

Remote Sensing of Ammonia and Sulfur Dioxide from On-Road Light Duty Vehicles D A N I E L A . B U R by dynamometer (16), remote sensing (17), and recently by a chase vehicle (18). Results from these studies vary

Denver, University of

245

ON-ROAD REMOTE SENSING OF CO EMISSIONS IN THE LOS ANGELES  

E-Print Network (OSTI)

#12;ON-ROAD REMOTE SENSING OF CO EMISSIONS IN THE LOS ANGELES BASIN Donald H. Stedman, Gary A. Comparison of tailpipe %CO measured by an on-board analyzer and by remote sensing. Data collected 12/8/89, 12

Denver, University of

246

Unsupervised Semantic Labeling Framework for Identification of Complex Facilities in High-Resolution Remote Sensing Images  

Science Conference Proceedings (OSTI)

Nuclear proliferation is a major national security concern for many countries. Existing feature extraction and classification approaches are not suitable for monitoring proliferation activity using high-resolution multi-temporal remote sensing imagery. ... Keywords: GMM, LDA, Remote Sensing, Nuclear Nonproliferation

Ranga Raju Vatsavai; Anil Cheriyadat; Shaun Gleason

2010-12-01T23:59:59.000Z

247

Global remote sensing research trends during 1991---2010: a bibliometric analysis  

Science Conference Proceedings (OSTI)

According to the articles related to remote sensing of SCI and SSCI databases during 1991---2010, this study evaluated the geographical influence of authors by the new index (geographical impact factor), and revealed the auctorial, institutional, national, ... Keywords: Bibliometric analysis, Geographic information system (GIS), Geographical impact factor (GIF), Remote Sensing (RS), Satellite

Yanhua Zhuang; Xingjian Liu; Thuminh Nguyen; Qingqing He; Song Hong

2013-07-01T23:59:59.000Z

248

BOOK REVIEWS QUANTITATIVE REMOTE SENSING OF LAND SURFACES. By S. Liang. John  

E-Print Network (OSTI)

BOOK REVIEWS QUANTITATIVE REMOTE SENSING OF LAND SURFACES. By S. Liang. John Wiley & Sons Inc-ROM. Illustrated. Price £82�50 hard- back. This new book presents the principles of optical remote sensing. The structure, content and style of the book reflect this. It has an explicit structure: it contains neat

Liang, Shunlin

249

MONITORING WASTE HEAT REJECTION TO THE ENVIRONMENT VIA REMOTE SENSING  

Science Conference Proceedings (OSTI)

Nuclear power plants typically use waste heat rejection systems such as cooling lakes and natural draft cooling towers. These systems are designed to reduce cooling water temperatures sufficiently to allow full power operation even during adverse meteorological conditions. After the power plant is operational, the performance of the cooling system is assessed. These assessments usually rely on measured temperatures of the cooling water after it has lost heat to the environment and is being pumped back into the power plant (cooling water inlet temperature). If the cooling system performance is not perceived to be optimal, the utility will collect additional data to determine why. This paper discusses the use of thermal imagery collected from aircraft and satellites combined with numerical simulation to better understand the dynamics and thermodynamics of nuclear power plant waste heat dissipation systems. The ANS meeting presentation will discuss analyses of several power plant cooling systems based on a combination of remote sensing data and hydrodynamic modeling.

Garrett, A

2009-01-13T23:59:59.000Z

250

Principles and applications of imaging radar. Manual of remote sensing: Third edition, Volume 2  

Science Conference Proceedings (OSTI)

This second volume in the Third Edition of the Manual of Remote Sensing offers a current and comprehensive survey of the theory, methods, and applications of imaging radar for geoscientists, engineers and application scientists interested in the advantages of radar remote sensing. Produced under the auspices of the American Society for Photogrammetry and Remote Sensing, it brings together contributions from experts around the world to discuss the basic principles of imaging radars and trace the research activity--past, present, and future--across the many sciences where radar remote sensing may be applied. This book offers an invaluable snapshot of radar remote sensing technology, including radargrammetry, radar polarimetry and interferometry and its uses. It combines technical and procedural coverage of systems, data interpretation, and other fundamentals with generous coverage of practical applications in agriculture; forestry; soil moisture monitoring; geology; geomorphology and hydrology; oceanography; land use, land cover mapping and archeology.

Henderson, F.M.; Lewis, A.J. [eds.

1998-12-31T23:59:59.000Z

251

Detecting Cirrus-Overlapping-Water Clouds and Retrieving their...  

NLE Websites -- All DOE Office Websites (Extended Search)

Different methods have been proposed to detect multilayer clouds using passive remote sensing data. Baum et al. (1995) used the CO 2 -slicing technique applied to the...

252

Using Surface Remote Sensors to Derive Mixed-Phase Cloud Radiative Forcing:  

NLE Websites -- All DOE Office Websites (Extended Search)

Using Surface Remote Sensors to Derive Mixed-Phase Cloud Radiative Forcing: Using Surface Remote Sensors to Derive Mixed-Phase Cloud Radiative Forcing: An Example from M-PACE Title Using Surface Remote Sensors to Derive Mixed-Phase Cloud Radiative Forcing: An Example from M-PACE Publication Type Journal Article Year of Publication 2011 Authors de Boer, Gijs, William D. Collins, Surabi Menon, and Charles N. Long Journal Atmospheric Chemistry and Physics Volume 11 Start Page 11937 Pagination 11937-11949 Abstract Measurements from ground-based cloud radar, high spectral resolution lidar and microwave radiometer are used in conjunction with a column version of the Rapid Radiative Transfer Model (RRTMG) and radiosonde measurements to derive the surface radiative properties under mixed-phase cloud conditions. These clouds were observed during the United States Department of Energy (US DOE) Atmospheric Radiation Measurement (ARM) Mixed-Phase Arctic Clouds Experiment (M-PACE) between September and November of 2004. In total, sixteen half hour time periods are reviewed due to their coincidence with radiosonde launches. Cloud liquid (ice) water paths are found to range between 11.0-366.4 (0.5-114.1) gm-2, and cloud physical thicknesses fall between 286-2075 m. Combined with temperature and hydrometeor size estimates, this information is used to calculate surface radiative flux densities using RRTMG, which are demonstrated to generally agree with measured flux densities from surface-based radiometric instrumentation. Errors in longwave flux density estimates are found to be largest for thin clouds, while shortwave flux density errors are generally largest for thicker clouds. A sensitivity study is performed to understand the impact of retrieval assumptions and uncertainties on derived surface radiation estimates. Cloud radiative forcing is calculated for all profiles, illustrating longwave dominance during this time of year, with net cloud forcing generally between 50 and 90 Wm-2.

253

Bio-optical profiling floats as new observational tools for biogeochemical and ecosystem studies: Potential synergies with ocean color remote sensing  

E-Print Network (OSTI)

particles from satellite remote sensing of the global ocean.Breon F. M. (2005). Remote sensing of phytoplankton groupsWITH OCEAN COLOR REMOTE SENSING. Hervé Claustre (1) , Jim

Claustre, H.

2010-01-01T23:59:59.000Z

254

Multimodel Analysis of Energy and Water Fluxes: Intercomparisons between Operational Analyses, a Land Surface Model, and Remote Sensing  

Science Conference Proceedings (OSTI)

Using data from seven global model operational analyses (OA), one land surface model, and various remote sensing retrievals, the energy and water fluxes over global land areas are intercompared for 2003/04. Remote sensing estimates of ...

Raghuveer K. Vinukollu; Justin Sheffield; Eric F. Wood; Michael G. Bosilovich; David Mocko

2012-02-01T23:59:59.000Z

255

QUANTITATIVE REMOTE SENSING: HORNS REV WIND FARM CASE STUDY C. B. Hasager, M. Nielsen, M. B. Christiansen  

E-Print Network (OSTI)

QUANTITATIVE REMOTE SENSING: HORNS REV WIND FARM CASE STUDY C. B. Hasager, M. Nielsen, M. B of quantitative remote sensing for wind resource estimation. 1. INTRODUCTION Possibilities and limitations

256

Diurnal Cloud and Thermodynamic Variations in the Stratocumulus Transition Regime: A Case Study Using In Situ and Remote Sensors  

Science Conference Proceedings (OSTI)

Radiosonde, in situ, and surface-based remote sensor data from the Atlantic Stratocumulus Transition Experiment are used to study the diurnal cycle of cloud and thermodynamic structure. A cloud layer and decoupled subcloud layer separated by a ...

Mark A. Miller; Michael P. Jensen; Eugene E. Clothiaux

1998-07-01T23:59:59.000Z

257

Workshop: Tcnicas Avanadas de Anlise de Imagens de Sensoriamento Remoto (Recent Advances in Image Analysis Techniques for Remote Sensing)  

E-Print Network (OSTI)

in Image Analysis Techniques for Remote Sensing) Coordenadores: Leila Maria G. Fonseca (INPE) e João Paulo in remote sensing technology, especially improved spectral, spatial, and temporal resolutions, have put different from more conventional approaches for remote sensing image analysis. Hora Título das Palestras

258

int. j. remote sensing, 2002, vol. 23, no. 3, 537553 EVect of spatial resolution on information content characterization in  

E-Print Network (OSTI)

int. j. remote sensing, 2002, vol. 23, no. 3, 537­553 EVect of spatial resolution on information content characterization in remote sensing imagery based on classi cation accuracy R. M. NARAYANAN*, M. K) Abstract. The information content of remote sensing imagery depends upon various factors such as spatial

Reichenbach, Stephen E.

259

Remote Sensing May Provide Unprecedented Hydrological Data http://www.agu.org/eos_elec, 1999 American Geophysical Union.  

E-Print Network (OSTI)

Remote Sensing May Provide Unprecedented Hydrological Data http://www.agu.org/eos_elec, © 1999 American Geophysical Union. Remote Sensing May Provide Unprecedented Hydrological Data -- Randal D. Koster, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, Md., USA Use of remote sensing

Houser, Paul R.

260

Remote sensing of the water quality of shallow lakes: A mixture modelling approach to quantifying phytoplankton in water characterized  

E-Print Network (OSTI)

Remote sensing of the water quality of shallow lakes: A mixture modelling approach to quantifying Research Institute of the Hungarian Academy of Sciences, Tihany, POB 35, H-8237, Hungary Remote sensing has significantly over recent years, the application of satellite remote sensing to lake water is constrained

Tyler, Andrew N.

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Remote Sensing of the Atmosphere and Ocean (11:670:451/16:712:552) Class website: Sakai  

E-Print Network (OSTI)

Remote Sensing of the Atmosphere and Ocean (11:670:451/16:712:552) Class website: Sakai Dr. Mark specific understanding of the physical principles used to remotely sense atmospheric and oceanic structure; pulse and Synthetic Aperture Radar modes; applications J. Wilkin Land Surface Remote Sensing M. Miller

262

Remote sensing for the geobotanical and biogeochemical assessment of environmental contamination  

SciTech Connect

Under Contract Number DE-AC08-90NV10845, the DOE has funded the Desert Research Institute (DRI) to examine several aspects of remote sensing, specifically with respect to how its use might help support Environmental Restoration and Waste Management (ERWM) activities at DOE sites located throughout the country. This report represents partial fulfillment of DRI`s obligations under that contract and includes a review of relevant literature associated with remote sensing studies and our evaluation and recommendation as to the applicability of various remote sensing techniques for DOE needs. With respect to DOE ERWM activities, remote sensing may be broadly defined as collecting information about a target without actually being in physical contact with the object. As the common platforms for remote sensing observations are aircraft and satellites, there exists the possibility to rapidly and efficiently collect information over DOE sites that would allow for the identification and monitoring of contamination related to present and past activities. As DOE sites cover areas ranging from tens to hundreds of square miles, remote sensing may provide an effective, efficient, and economical method in support of ERWM activities. For this review, remote sensing has been limited to methods that employ electromagnetic (EM) energy as the means of detecting and measuring target characteristics.

Wickham, J.; Chesley, M.; Lancaster, J.; Mouat, D.

1993-01-01T23:59:59.000Z

263

Mathematical aspects of BRDF modeling: Adjoint problem and Green's function. Remote Sensing Reviews  

E-Print Network (OSTI)

Abstract ? Adjoint formulation of three?dimensional radiative transfer and the Green's function concept have been developed in neutron transport several decades ago. This is not merely yet another method of simulating the radiative transfer process, but a method of reformulating the problem to better incorporate existing radiation models into a particular research. In the case of photon transport in vegetation canopies, the Green's function is a canopy radiative response to a point monodirectional source located outside the canopy. The Green's function, therefore, has intrinsic canopy information. It can be evaluated by using existing canopy radiation models. The problem?dependent adjoint formulation of radiative transfer allows us to express a particular canopy radiation effect in terms of the Green's function and, as a consequence, to better adjust the existing models to the solution of a specific radiation problem. Application of this technique to the retrieval of biophysical parameters from remotely sensed data (the table look?up method) was discussed in (Kimes et al., this issue). In this paper, we will illustrate how this concept can be applied to the estimation of cloud optical properties from ground?based measurements of spectral zenith radiance above the vegetation canopy under broken cloud conditions. In spite of different physical formulations of these problems, both of them use the Green's function to describe radiation fields due to the interaction between the canopy ground and the canopy and the canopy?clouds interaction. This technique allows us not only to extend an applicability range of existing canopy?radiation models, but also to incorporate of various approaches developed in other fields of physics into BRDF modeling and its applications.

Y. Knyazikhin; A. Marshak

2000-01-01T23:59:59.000Z

264

Strategic Environmental Research and Development Program: Atmospheric Remote Sensing and Assessment Program -- Final Report. Part 1: The lower atmosphere  

Science Conference Proceedings (OSTI)

This report documents work done between FY91 and FY95 for the lower atmospheric portion of the joint Department of Defense (DoD) and Department of Energy (DOE) Atmospheric Remote Sensing and Assessment Program (ARSAP) within the Strategic Environmental Research and Development Program (SERDP). The work focused on (1) developing new measurement capabilities and (2) measuring atmospheric heating in a well-defined layer and then relating it to cloud properties an water vapor content. Seven new instruments were develop3ed for use with Unmanned Aerospace Vehicles (UAVs) as the host platform for flux, radiance, cloud, and water vapor measurements. Four major field campaigns were undertaken to use these new as well as existing instruments to make critically needed atmospheric measurements. Scientific results include the profiling of clear sky fluxes from near surface to 14 km and the strong indication of cloudy atmosphere absorption of solar radiation considerably greater than predicted by extant models.

Tooman, T.P. [ed.] [Sandia National Labs., Livermore, CA (United States). Exploratory Systems Technology Dept.

1997-01-01T23:59:59.000Z

265

Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use  

SciTech Connect

This paper examined the relationship between remotely sensed anthropogenic heat discharge and energy use from residential and commercial buildings across multiple scales in the city of Indianapolis, Indiana, USA. Anthropogenic heat discharge was estimated based on a remote sensing-based surface energy balance model, which was parameterized using land cover, land surface temperature, albedo, and meteorological data. Building energy use was estimated using a GIS-based building energy simulation model in conjunction with Department of Energy/ Energy Information Administration survey data, Assessor's parcel data, GIS floor areas data, and remote sensing-derived building height data.

Zhou, Yuyu; Weng, Qihao; Gurney, Kevin R.; Shuai, Yanmin; Hu, Xuefei

2012-01-01T23:59:59.000Z

266

GMG: A Guaranteed, Efficient Global Optimization Algorithm for Remote Sensing.  

SciTech Connect

The monocular passive ranging (MPR) problem in remote sensing consists of identifying the precise range of an airborne target (missile, plane, etc.) from its observed radiance. This inverse problem may be set as a global optimization problem (GOP) whereby the difference between the observed and model predicted radiances is minimized over the possible ranges and atmospheric conditions. Using additional information about the error function between the predicted and observed radiances of the target, we developed GMG, a new algorithm to find the Global Minimum with a Guarantee. The new algorithm transforms the original continuous GOP into a discrete search problem, thereby guaranteeing to find the position of the global minimum in a reasonably short time. The algorithm is first applied to the golf course problem, which serves as a litmus test for its performance in the presence of both complete and degraded additional information. GMG is further assessed on a set of standard benchmark functions and then applied to various realizations of the MPR problem.

D'Helon, CD

2004-08-18T23:59:59.000Z

267

Using NASA Remote Sensing Data to Reduce Uncertainty of Land-Use Transitions in  

NLE Websites -- All DOE Office Websites (Extended Search)

NASA Remote Sensing Data to Reduce Uncertainty of Land-Use Transitions in NASA Remote Sensing Data to Reduce Uncertainty of Land-Use Transitions in Global Carbon-Climate Models: Data Management Plan L. Chini, G.C. Hurtt, M. Hansen, and P. Potapov Department of Geography University of Maryland The following Data Management Plan was part of the NASA ROSES 2012 Proposal Using NASA Remote Sensing Data to Reduce Uncertainty of Land-Use Transitions in Global Carbon- Climate Models (summary) submitted to the Terrestrial Ecology Program. It is presented as an example plan. Data Management Plan The proposed project will generate important new datasets of remote-sensing-based land-use transitions and their inherent uncertainty. Our plan for managing these datasets includes quality assessment, long-term archiving, and data sharing and dissemination (along with documentation

268

Electromagnetic wave scattering by discrete random media with remote sensing applications  

E-Print Network (OSTI)

The scattering of electromagnetic waves in medium with randomly distributed discrete scatterers is studied. Analytical and numerical solutions to several problems with implications for the active and passive remote sensing ...

Ao, Chi On, 1970-

2001-01-01T23:59:59.000Z

269

Higher order asymptotic inference in remote sensing of oceanic and planetary environments  

E-Print Network (OSTI)

An inference method based on higher order asymptotic expansions of the bias and covariance of the Maximum Likelihood Estimate (MLE) is used to investigate the accuracy of parameter estimates obtained from remote sensing ...

Bertsatos, loannis

2010-01-01T23:59:59.000Z

270

Assessment of a modified version of the EM algorithm for remote sensing data classification  

Science Conference Proceedings (OSTI)

This work aims to present an assessment of a modified version of the standard EM clustering algorithm for remote sensing data classification. As observing clusters with very similar mean vectors but differing only on the covariance structure is not natural ...

Thales Sehn Korting; Luciano Vieira Dutra; Guaraci José Erthal; Leila Maria Garcia Fonseca

2010-11-01T23:59:59.000Z

271

Remote Sensing Open Access Journal: Leading a New Paradigm in Publishing  

E-Print Network (OSTI)

Remote Sensing is a pathfinding open access journal providing great opportunities for the growing community of remote sensing and geoscience scientists and practitioners to publish high quality research and practical papers expeditiously. It is a journal keeping up with the changing times we live in: open access, instant access, free access, and global access from whichever precise latitude and longitude you live in on the planet Earth or for that matter anywhere in space as long as we have internet access! So, open access journals are breaking many paradigms and setting forth new ones that will soon become the norm as we advance into the twenty-first century. The days of inordinate delays in publishing good science research articles are fast disappearing with open access journals. In remote sensing and geoscience, Remote Sensing

Prasad S. Thenkabail

2011-01-01T23:59:59.000Z

272

Evaporation from Nonvegetated Surfaces: Surface Aridity Methods and Passive Microwave Remote Sensing  

Science Conference Proceedings (OSTI)

The use of remotely sensed near-surface soil moisture for the estimation of evaporation is investigated. Two widely used parameterizations of evaporation, the so-called ? and ? methods, which use near-surface soil moisture to reduce some measure ...

Anthony T. Cahill; Marc B. Parlange; Thomas J. Jackson; Peggy O’Neill; T. J. Schmugge

1999-09-01T23:59:59.000Z

273

On the application of the MODTRAN4 atmospheric radiative transfer code to optical remote sensing  

Science Conference Proceedings (OSTI)

The quantification of atmospheric effects on the solar radiation measured by a spaceborne or airborne optical sensor is required for some key tasks in remote sensing, such as atmospheric correction, simulation of realistic scenarios or retrieval of atmospheric ...

Luis Guanter; Rudolf Richter; Hermann Kaufmann

2009-01-01T23:59:59.000Z

274

Length Scale Analysis of Surface Energy Fluxes Derived from Remote Sensing  

Science Conference Proceedings (OSTI)

Wavelet multiresolution analysis was used to examine the variation in dominant length scales determined from remotely sensed airborne- and satellite-derived surface energy flux data. The wavelet cospectra are computed between surface radiometric ...

Nathaniel A. Brunsell; Robert R. Gillies

2003-12-01T23:59:59.000Z

275

The ONSAM Experiment: Remote Sensing Techniques for Vertical Sounding of the Atmosphere  

Science Conference Proceedings (OSTI)

The ONSala Atmospheric Measurement program was carried out in May 1983 in order to test the performance of new remote sensing equipment, compared with radiosondes launched for this particular program. A temperature profiling radiometer and a ...

J. Askne; G. Elgered; H. Nordius; G. Skoog; E. Winberg; A. Ha?ga?rd; E. Andersson; N. Gustafsson; J. Svensson; I. Carlsson

1987-03-01T23:59:59.000Z

276

Simulation in the woods: from remote sensing based data acquisition and processing to various simulation applications  

Science Conference Proceedings (OSTI)

This paper focuses on joint work towards the development of simulation applications in the forest sector. They are based on advanced "semantic" world modeling techniques which use remote sensing data and processing algorithms to derive tree species classification ...

Jürgen Rossmann; Michael Schluse; Ralf Waspe; Ralf Moshammer

2011-12-01T23:59:59.000Z

277

Integration of remote sensing and ecosystem modelling techniques to estimate forest net carbon uptake  

Science Conference Proceedings (OSTI)

Estimates of forest gross primary production (GPP) can be obtained using a parametric model (C-Fix) that combines ground and remotely sensed data. A methodology is presented to convert these GPP estimates into values of net ecosystem exchange (NEE). ...

F. Maselli; M. Chiesi; L. Fibbi; M. Moriondo

2008-04-01T23:59:59.000Z

278

Integrated use of remote sensing and geographic information systems in riparian vegetation delineation and mapping  

Science Conference Proceedings (OSTI)

This paper presents a pilot study on riparian vegetation delineation and mapping using remote sensing and geographic information systems (GIS) in the Hunter Region, Australia. The aim of the study was to develop appropriate and repeatable assessment ...

X. Yang

2007-01-01T23:59:59.000Z

279

Remote sensing of atmospheric particles using LIDAR, Calipso satellite, & AERONET: algorithm development  

Science Conference Proceedings (OSTI)

Algorithms have been developed for the determination of essential parameters such as Aerosol Size Distribution, Angstrom coefficient, and Single Scattering Albedo necessary in the determination of regional climatological model and weather prediction ... Keywords: AERONET, Calipso, atmospheric parameters, lidar, remote sensing

Javier Mèndez; Hamed Parsiani; Emmanuel Sanchez

2009-01-01T23:59:59.000Z

280

Calibration and Validation of Remotely Sensed Observations of Ocean Color from a Moored Data Buoy  

Science Conference Proceedings (OSTI)

Satellite remote sensing of ocean color has the potential to map global surface phytoplankton concentrations at rates of up to once per day, providing wide-area data on a number of fundamental ocean processes relating to biological production, ...

M. H. Pinkerton; J. Aiken

1999-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Remote Sensing Measurements of Tropospheric Ozone by Ground-Based Thermal Emission Spectroscopy  

Science Conference Proceedings (OSTI)

Remote sensing measurements of the troposphere were obtained by a new technique in which spectra of the downward thermal radiation from tropospheric ozone were measured with a Fourier transform infrared spectrometer. The measurements were ...

W. F. J. Evans; E. Puckrin

1999-01-01T23:59:59.000Z

282

Parameter Estimation for Marked Point Processes. Application to Object Extraction from Remote Sensing Images  

Science Conference Proceedings (OSTI)

This communication addresses the problem of estimating the parameters of a family of marked point processes. These processes are of interest in extraction of object networks from remote sensing images. They are defined from a combination of several energy ...

Florent Chatelain; Xavier Descombes; Josiane Zerubia

2009-08-01T23:59:59.000Z

283

Mesoscale Cloud State Estimation from Visible and Infrared Satellite Radiances  

Science Conference Proceedings (OSTI)

This study focuses on cloudy atmosphere state estimation from high-resolution visible and infrared satellite remote sensing measurements and a mesoscale model with explicit cloud prediction. The cloud state is defined as 3D spatially distributed ...

T. Vukicevic; T. Greenwald; M. Zupanski; D. Zupanski; T. Vonder Haar; A. S. Jones

2004-12-01T23:59:59.000Z

284

Remote Cloud Ceiling Assessment Using Data-Mining Methods  

Science Conference Proceedings (OSTI)

Data-mining methods are applied to numerical weather prediction (NWP) output and satellite data to develop automated algorithms for the diagnosis of cloud ceiling height in regions where no local observations are available at analysis time. A ...

Richard L. Bankert; Michael Hadjimichael; Arunas P. Kuciauskas; William T. Thompson; Kim Richardson

2004-12-01T23:59:59.000Z

285

Remote Spectroscopic Sounding of Liquid Water Path in Thick Clouds...  

NLE Websites -- All DOE Office Websites (Extended Search)

restored for this particular case. For sounding of the mixed clouds, three intervals in a spectrum of solar radiation are analyzed: 0.97-1.03 m; 1.60-1.70 m; and 2.15-2.35 m...

286

Radio Remote Sensing of the Corona and the Solar Wind  

E-Print Network (OSTI)

Modern radio telescopes are extremely sensitive to plasma on the line of sight from a radio source to the antenna. Plasmas in the corona and solar wind produce measurable changes in the radio wave amplitude and phase, and the phase difference between wave fields of opposite circular polarization. Such measurements can be made of radio waves from spacecraft transmitters and extragalactic radio sources, using radio telescopes and spacecraft tracking antennas. Data have been taken at frequencies from about 80 MHz to 8000 MHz. Lower frequencies probe plasma at greater heliocentric distances. Analysis of these data yields information on the plasma density, density fluctuations, and plasma flow speeds in the corona and solar wind, and on the magnetic field in the solar corona. This paper will concentrate on the information that can be obtained from measurements of Faraday rotation through the corona and inner solar wind. The magnitude of Faraday rotation is proportional to the line of sight integral of the plasma density and the line-of-sight component of the magnetic field. Faraday rotation provides an almost unique means of estimating the magnetic field in this part of space. This technique has contributed to measurement of the large scale coronal magnetic field, the properties of electromagnetic turbulence in the corona, possible detection of electrical currents in the corona, and probing of the internal structure of coronal mass ejections (CMEs). This paper concentrates on the search for small-scale coronal turbulence and remote sensing of the structure of CMEs. Future investigations with the Expanded Very Large Array (EVLA) or Murchison Widefield Array (MWA) could provide unique observational input on the astrophysics of CMEs.

Steven R. Spangler; Catherine A. Whiting

2008-09-26T23:59:59.000Z

287

Adaptive Remote-Sensing Techniques Implementing Swarms of Mobile Agents  

Science Conference Proceedings (OSTI)

In many situations, stand-off remote-sensing and hazard-interdiction techniques over realistic operational areas are often impractical "and difficult to characterize. An alternative approach is to implement an adap- tively deployable array of sensitive agent-specific devices. Our group has been studying the collective be- havior of an autonomous, multi-agent system applied to chedbio detection and related emerging threat applications, The current physics-based models we are using coordinate a sensor array for mukivanate sig- nal optimization and coverage as re,alized by a swarm of robots or mobile vehicles. These intelligent control systems integrate'glob"ally operating decision-making systems and locally cooperative learning neural net- works to enhance re+-timp operational responses to dynarnical environments examples of which include obstacle avoidance, res~onding to prevailing wind patterns, and overcoming other natural obscurants or in- terferences. Collectively',tkensor nefirons with simple properties, interacting according to basic community rules, can accomplish complex interconnecting functions such as generalization, error correction, pattern recognition, sensor fusion, and localization. Neural nets provide a greater degree of robusmess and fault tolerance than conventional systems in that minor variations or imperfections do not impair performance. The robotic platforms would be equipped with sensor devices that perform opticaI detection of biologicais in combination with multivariate chemical analysis tools based on genetic and neural network algorithms, laser-diode LIDAR analysis, ultra-wideband short-pulsed transmitting and receiving antennas, thermal im- a:ing sensors, and optical Communication technology providing robust data throughput pathways. Mission scenarios under consideration include ground penetrating radar (GPR) for detection of underground struc- tures, airborne systems, and plume migration and mitigation. We will describe our research in these areas anti give a status report on our progress.

Asher, R.B.; Cameron, S.M.; Loubriel, G.M.; Robinett, R.D.; Stantz, K.M.; Trahan, M.W.; Wagner, J.S.

1998-11-25T23:59:59.000Z

288

Hyperspectral Geobotanical Remote Sensing for CO2 Storage Monitoring  

DOE Green Energy (OSTI)

This project's goal is to develop remote sensing methods for early detection and spatial mapping, over whole regions simultaneously, of any surface areas under which there are significant CO2 leaks from deep underground storage formations. If large amounts of CO2 gas percolated up from a storage formation below to within plant root depth of the surface, the CO2 soil concentrations near the surface would become elevated and would affect individual plants and their local plant ecologies. Excessive soil CO2 concentrations are observed to significantly affect local plant and animal ecologies in our geothermal exploration, remote sensing research program at Mammoth Mountain CA USA. We also know from our geothermal exploration remote sensing programs, that we can map subtle hidden faults by spatial signatures of altered minerals and of plant species and health distributions. Mapping hidden faults is important because in our experience these highly localized (one to several centimeters) spatial pathways are good candidates for potentially significant CO2 leaks from deep underground formations. The detection and discrimination method we are developing uses primarily airborne hyperspectral, high spatial (3 meter) with 128 band wavelength resolution, visible and near infrared reflected light imagery. We also are using the newly available ''Quickbird'' satellite imagery that has high spatial resolution (0.6 meter for panchromatic images, 2.4 meters for multispectral). We have a commercial provider, HyVista Corp of Sydney Australia, of airborne hyperspectral imagery acquisitions and very relevant image data post processing, so that eventually the ongoing surveillance of CO2 storage fields can be contracted for commercially. In this project we have imaged the Rangely Colorado Oil field and surrounding areas with an airborne hyperspectral visible and near infrared reflected light sensor. The images were analyzed by several methods using the suite of tools available in the ENVI commercial hyperspectral image processing software. We have also begun to use the high resolution (0.6 meter) commercial satellite QuickBird in our technology development. This hyperspectral imaging project for CO2 leakage monitoring has focused on using the extensive hyperspectral imagery set that we acquired of the Rangely CO enhanced oil recovery field in August 2002. We have accomplished extensive analysis of this imagery. We have created highly detailed maps of soil types, plant coverages, plant health, local ecologies or habitats, water conditions, and manmade objects throughout the entire Rangely Oil field and surrounding areas. The results were verified during a field trip to Rangely CO in August 2003. These maps establish an environmental and ecological baseline against which any future CO2 leakage effects on the plants, plant habitats, soils and water conditions can be detected and verified. We have also seen signatures that may be subtle hidden faults. If confirmed these faults might provide pathways for upward CO2 migration if that occurred at any time during the future. We have found a result that was unexpected, new to us, and potentially very important to the task of monitoring for CO2 that has leaked to within the plant root depths near the surface. The discovery is that one of our analysis techniques has picked out finely detailed mapping of local ecologies. Some of which are found to extend across the entire Rangely oil field and into the surrounding areas. These ecologies appear to be made up of a fairly narrow range of percentage admixtures of two or three very specific plant types and soil types. It is likely that any large amounts of CO2 reaching the root depth near the surface would begin to modify the shapes of the habitats. These habitat changes will be easy to detect by repeat imaging of the area. The habitat modification signature is probably detectable earlier following the start of CO2 build up in the soil, than looking for individual plant stress. We strongly recommend a long term research effort that will establish what CO2 soil co

Pickles, W; Cover, W

2004-05-14T23:59:59.000Z

289

Using remote-sensing data to determine equilibrium-line altitude and mass-balance time series: validation on three French glaciers,  

E-Print Network (OSTI)

Using remote-sensing data to determine equilibrium-line altitude and mass-balance time series to calculate glacier mass balance using remote-sensing data. Snowline measurements from remotely sensed images by ground measurements and remote sensing are compared and show excellent correlation (r2 > 0.89), both

Rabatel, Antoine

290

The use of remotely sensed data as a tool in urban heat island investigations: An overview  

Science Conference Proceedings (OSTI)

Remotely sensed data contribute an important tool to areawide, cost-effective studies of urban heat island phenomena. This paper provides an overview of its use dating from the first satellite thermal images of urban heat signatures in the early 1970`s, and briefly examines the range of previous uses of remotely sensed data in urban studies, including identification and analysis of heat island effects, modeling of energy budgets, attempts to analyze and classify the urban landscape, and temporal analyses. The intent is not to provide an exhaustive review but rather to describe research trends and patterns. In addition the paper lists an compares those sensing devices that have seen significant use in urban studies and briefly discusses potential strengths and weaknesses of remotely sensed data for use in urban analyses. Three annotated bibliographies, divided by subject, are included. 95 refs.

Orvis, K.H.; Akbari, H. [Lawrence Berkeley Lab., CA (United States). Energy and Environment Div.

1992-01-01T23:59:59.000Z

291

Why Is Remote Sensing of Amazon Forest Greenness So Challenging?  

Science Conference Proceedings (OSTI)

The prevalence of clouds and aerosols and their impact on satellite-measured greenness levels of forests in southern and central Amazonia are explored in this article using 10 years of NASA Moderate Resolution Imaging Spectroradiometer (MODIS) ...

Arindam Samanta; Sangram Ganguly; Eric Vermote; Ramakrishna R. Nemani; Ranga B. Myneni

2012-06-01T23:59:59.000Z

292

University of Wisconsin Cirrus Remote Sensing Pilot Experiment  

Science Conference Proceedings (OSTI)

During the period of 26 October 1989 through 6 December 1989 a unique complement of measurements was made at the University of Wisconsin—Madison to study the radiative properties of cirrus clouds. Simultaneous observations were obtained from a ...

Steven A. Ackerman; William L. Smith; Ed W. Eloranta; Chris J. Grund; Robert O. Knuteson; Henry E. Revercomb; Donald P. Wylie

1993-06-01T23:59:59.000Z

293

Extending collaboration support systems: making sense in remote innovation  

Science Conference Proceedings (OSTI)

This chapter first examines the role of collaboration and collective learning in regional and industry-wide innovation and how remote innovation--that is, innovation organized through electronic collaboration-could be enhanced by comprehensive computer ...

Thekla Rura-Polley; Ellen Baker

2002-01-01T23:59:59.000Z

294

Vegetation Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Remote Sens. 2012, 4, 327-353; doi:10.3390/rs4020327 Remote Sens. 2012, 4, 327-353; doi:10.3390/rs4020327 Remote Sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Vegetation Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing Jungho Im 1, *, John R. Jensen 2 , Ryan R. Jensen 3 , John Gladden 4 , Jody Waugh 5 and Mike Serrato 4 1 Department of Environmental Resources Engineering, College of Environmental Science and Forestry, State University of New York, Syracuse, NY 13210, USA 2 Department of Geography, University of South Carolina, Columbia, SC 29208, USA; E-Mail: johnj@mailbox.sc.edu 3 Department of Geography, Brigham Young University, Provo, UT 84605, USA; E-Mail: ryan.jensen@byu.edu 4 Savannah River National Laboratory, Department of Energy, Aiken, SC 29808, USA;

295

Rapid Damage Assessment Using High-resolution Remote Sensing Imagery: Tools and Techniques  

SciTech Connect

Accurate damage assessment caused by major natural and anthropogenic disasters is becoming critical due to increases in human and economic loss. This increase in loss of life and severe damages can be attributed to growing population, as well as human migration to disaster prone regions of the world. Rapid damage assessment and dissemination of accurate information is critical for creating an effective emergency response. Remote sensing and geographic information systems (GIS) based techniques and tools are important in disaster damage assessment and reporting activities. In this review, we will look into the state of the art techniques in damage assessment using remote sensing and GIS.

Vatsavai, Raju [ORNL; Tuttle, Mark A [ORNL; Bhaduri, Budhendra L [ORNL; Bright, Eddie A [ORNL; Cheriyadat, Anil M [ORNL; Chandola, Varun [ORNL; Graesser, Jordan B [ORNL

2011-01-01T23:59:59.000Z

296

Capabilities of the DOE Remote Sensing Laboratory`s aerial measuring system  

SciTech Connect

This report describes the capabilities of the Remote Sensing Laboratory`s aircraft for use in environmental radiation surveys, multispectral (visible, near infrared, and thermal infrared) surveys of vegetation and buildings, and photographic documentation of the areas covered by the two other surveys. The report discusses the technical capabilities of the various systems and presents examples of the data from a recent demonstration survey. To provide a view of the types of surveys the Remote Sensing Laboratory has conducted in the past, the appendices describe several of the previous area surveys and emergency search surveys.

Riedhauser, S.R.

1995-09-01T23:59:59.000Z

297

Remote sensing survey of the Coso geothermal area, Inyo county, California.  

Open Energy Info (EERE)

sensing survey of the Coso geothermal area, Inyo county, California. sensing survey of the Coso geothermal area, Inyo county, California. Technical publication 1968--1971 Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Report: Remote sensing survey of the Coso geothermal area, Inyo county, California. Technical publication 1968--1971 Details Activities (4) Areas (1) Regions (0) Abstract: The Coso geothermal area, located primarily within the test ranges of the Naval Weapons Center, China Lake, Calif., is an area of granitic rock exposure and fracture-controlled explosion breccias and perlitic domes. Fumarolic and hot springs activity are present at scattered locations. Remote sensing studies were made that included color and color IR photography, 8- to 14-micrometer IR imagery, and snowmelt patterns. Color photography and snowmelt patterns were of greatest utility in

298

Verification of Remotely Sensed Sea Surface Winds in Hurricanes  

Science Conference Proceedings (OSTI)

Surface winds in hurricanes have been estimated remotely using the Stepped-Frequency Microwave Radiometer (SFMR) from the NOAA WP-3D aircraft for the past 15 years. Since the use of the GPS dropwindsonde system in hurricanes was first initiated ...

Eric W. Uhlhorn; Peter G. Black

2003-01-01T23:59:59.000Z

299

Cloud-Resolving Satellite Data Assimilation: Information Content of IR Window Observations and Uncertainties in Estimation  

Science Conference Proceedings (OSTI)

This study addresses the problem of four-dimensional (4D) estimation of a cloudy atmosphere on cloud-resolving scales using satellite remote sensing measurements. The motivation is to develop a methodology for accurate estimation of cloud ...

T. Vukicevic; M. Sengupta; A. S. Jones; T. Vonder Haar

2006-03-01T23:59:59.000Z

300

Characteristics of Cloud Ice and Precipitation during Wintertime Storms over the Mountains of Northern Colorado  

Science Conference Proceedings (OSTI)

This article describe cloud ice and precipitation process in 17 wintertime storm systems that occurred over the mountains of northwestern Colorado. Surface, remote sensing and aircraft measurements are used to study cloud and precipitation ...

Robert M. Rauber

1987-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Multiple Remote Sensor Observations of Supercooled Liquid Water in a Winter Storm at Beaver, Utah  

Science Conference Proceedings (OSTI)

The temporal and spatial distribution of cloud liquid water in a winter storm from the 1983 Utah/NOAA Cooperative Weather Modification Program is characterized using remote sensing observations. The remote sensors, located at a mountain-base site ...

Kenneth Sassen; Robert M. Rauber; J. B. Snider

1986-06-01T23:59:59.000Z

302

Workshop on the Application of Remote Sensing Technologies to Disaster Response Rapid Damage Mapping for Post-Earthquake  

E-Print Network (OSTI)

Workshop on the Application of Remote Sensing Technologies to Disaster Response Rapid Damage Technologies to Disaster Response September 12 2003 #12;Workshop on the Application of Remote Sensing Technologies to Disaster Response 12 September 2003 Rapid Damage Mapping for post-Earthquake Building Damage

Shinozuka, Masanobu

303

Measuring Cloud Properties from Space: A Review  

Science Conference Proceedings (OSTI)

A brief review of observations of clouds using satellites highlights open issues and directions for future studies. The key one is improved treatment of the effects of small-scale spatial inhomogeneity in remote sensing data analyses and in the ...

William B. Rossow

1989-03-01T23:59:59.000Z

304

In disaster response, timely collection and exploitation of remotely sensed imagery is of increasing importance. Image  

E-Print Network (OSTI)

Abstract In disaster response, timely collection and exploitation of remotely sensed imagery. Introduction The collection and utilization of airborne/satellite imagery for disaster response has become expected and necessary. The response phase of the disaster cycle is the time period between impact (e

Hodgson, Michael E.

305

Post Storm Damage Assessment and Vegetation Monitoring Using Remote Sensing Techniques  

Science Conference Proceedings (OSTI)

This report presents the results of an EPRI study of remote sensing technology as a tool for environmental monitoring and assessment along power line corridors and at utility systems and to view facilities damaged during storms. The report provides a technology overview, details application-oriented field studies at two sites, and offers conclusions and recommendations concerning existing and emerging technologies.

1998-12-28T23:59:59.000Z

306

Climatology of Ocean Features in the Gulf of Mexico Using Satellite Remote Sensing Data  

Science Conference Proceedings (OSTI)

A climatology of various ocean features in the Gulf of Mexico (GOM) was developed using the combination of satellite remote sensing and in situ data that spanned periods as long as 32 years. Twelve separate statistics were created, some of which ...

Fred M. Vukovich

2007-03-01T23:59:59.000Z

307

Hierarchical analysis of remote sensing data: morphological attribute profiles and binary partition trees  

Science Conference Proceedings (OSTI)

The new generation of very high resolution sensors in airborne or satellite remote sensing open the door to countless new applications with a high societal impact. In order to bridge the gap between the potential offered by these new sensors and the ...

Jon Atli Benediktsson; Lorenzo Bruzzone; Jocelyn Chanussot; Mauro Dalla Mura; Philippe Salembier; Silvia Valero

2011-07-01T23:59:59.000Z

308

Remote sensing and GIS technology in the Global Land Ice Measurements from Space (GLIMS) Project  

Science Conference Proceedings (OSTI)

Global Land Ice Measurements from Space (GLIMS) is an international consortium established to acquire satellite images of the world's glaciers, analyze them for glacier extent and changes, and to assess these change data in terms of forcings. The consortium ... Keywords: Database, Glaciers, Open-source GIS, Remote sensing

Bruce Raup; Andreas Kääb; Jeffrey S. Kargel; Michael P. Bishop; Gordon Hamilton; Ella Lee; Frank Paul; Frank Rau; Deborah Soltesz; Siri Jodha Singh Khalsa; Matthew Beedle; Christopher Helm

2007-01-01T23:59:59.000Z

309

Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing  

Science Conference Proceedings (OSTI)

Hyperspectral imaging is a growing area in remote sensing in which an imaging spectrometer collects hundreds of images (at different wavelength channels) for the same area on the surface of the Earth. Hyperspectral images are extremely high-dimensional, ... Keywords: Application development experience, FPGAs, GPUs, Hardware accelerators, Hyperspectral imaging

Carlos GonzáLez; Sergio SáNchez; Abel Paz; Javier Resano; Daniel Mozos; Antonio Plaza

2013-03-01T23:59:59.000Z

310

Towards automatic lithological classification from remote sensing data using support vector machines  

Science Conference Proceedings (OSTI)

Remote sensing data can be effectively used as a means to build geological knowledge for poorly mapped terrains. In this study, the support vector machine (SVM) algorithm is applied to an automated lithological classification of a study area in northwestern ... Keywords: ASTER, Aeromagnetic, DEM, Lithological classification, Supervised classification, Support vector machine (SVM)

Le Yu; Alok Porwal; Eun-Jung Holden; Michael C. Dentith

2012-08-01T23:59:59.000Z

311

CARTESIAN - Remote Sensing based Management Information System for Ski Resort Planning  

E-Print Network (OSTI)

In the frame of an EU-Project an inter- and transdisziplinary team developed an interactive Management Information System (MIS). The aim is to provide a sophisticated tool for ski region management to planners, politicians and decision makers, environmentalists or tourist specialists, based on remotely sensed and auxiliary data for model based interpretation schemes.

Hans-Caspar Bodmer; Klaus Seidel; Jeroen Aerts

2000-01-01T23:59:59.000Z

312

Remote Sensing Evaluation of CLM4 GPP for the Period 2000–09  

Science Conference Proceedings (OSTI)

Remote sensing can provide long-term and large-scale products helpful for ecosystem model evaluation. The authors compare monthly gross primary production (GPP) simulated by the Community Land Model, version 4 (CLM4) at a half-degree resolution ...

Jiafu Mao; Peter E. Thornton; Xiaoying Shi; Maosheng Zhao; Wilfred M. Post

2012-08-01T23:59:59.000Z

313

An improved MRF-based change detection approach for multitemporal remote sensing imagery  

Science Conference Proceedings (OSTI)

In the task of multitemporal remote sensing image change detection, conventional Markov random field (MRF) based approaches consider contextual information between neighboring pixels to obtain the change map. However, these approaches often get erroneous ... Keywords: Adaptive weight, Change detection, Difference image, Line process, Markov random field (MRF)

Yin Chen; Zhiguo Cao

2013-01-01T23:59:59.000Z

314

Workshop on Application of Remote Sensing to Disaster Response September 12, 2003, Irvine, CA, USA  

E-Print Network (OSTI)

Urban Inventory #12;3 Satellite Optical Sensor/SAR Airborne SAR Aerial Photography Aerial Television 10-12km 1 Satellites Landsat SAR Tools for Field Survey Airborne Remote Sensing High-Resolution Satellites IKONOS damage area Yellow: Severe damage area #12;11 Use of GPS and RS Data for Field Survey Joint Survey

Shinozuka, Masanobu

315

High-Performance Computing in Remote Sensing Antonio J. Plaza1  

E-Print Network (OSTI)

Flight Center. Chapter 8. Distributed computing for inverse modeling of hyperspectral data Authors. Chapter 11. Grid computing for remote sensing data and data analysis Authors: Samuel D. Gasster, Craig Lee Laboratory Department of Electrical and Computer Engineering University of Maryland Baltimore County

Chang, Chein-I

316

On the study of wind energy at great heights using remote sensing techniques  

E-Print Network (OSTI)

On the study of wind energy at great heights using remote sensing techniques Alfredo Pe~na1 by the wind energy industry due to the high sensitivity that the wind characteristics have on the performance Dong energy, Dong Energy, Kraftværksvej 53, DK-7000, Fredericia, Denmark e-mail: alfredo

317

WIND ENERGY STUDIES OFFSHORE USING SATELLITE REMOTE SENSING MERETE BRUUN CHRISTIANSEN  

E-Print Network (OSTI)

1 WIND ENERGY STUDIES OFFSHORE USING SATELLITE REMOTE SENSING MERETE BRUUN CHRISTIANSEN Wind Energy Dept., Risø National Laboratory Denmark Abstract The wind provides a rich energy source, which can from meteorological masts; thus the technique is promising in terms of future wind energy studies. 1

318

Critical Evaluation of the ISCCP Simulator Using Ground-Based Remote Sensing Data  

Science Conference Proceedings (OSTI)

Given the known shortcomings in representing clouds in Global Climate Models (GCM) comparisons with observations are critical. The International Satellite Cloud Climatology Project (ISCCP) diagnostic products provide global descriptions of cloud top pressure and column optical depth that extends over multiple decades. The necessary limitations of the ISCCP retrieval algorithm require that before comparisons can be made between model output and ISCCP results the model output must be modified to simulate what ISCCP would diagnose under the simulated circumstances. We evaluate one component of the so-called ISCCP simulator in this study by comparing ISCCP and a similar algorithm with various long-term statistics derived from the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Climate Research Facility ground-based remote sensors. We find that were a model to simulate the cloud radiative profile with the same accuracy as can be derived from the ARM data, then the likelihood of that occurrence being placed in the same cloud top pressure and optical depth bin as ISCCP of the 9 bins that have become standard ranges from 30% to 70% depending on optical depth. While the ISCCP simulator improved the agreement of cloud-top pressure between ground-based remote sensors and satellite observations, we find minor discrepancies due to the parameterization of cloud top pressure in the ISCCP simulator. The primary source of error seems to be related to discrepancies in visible optical depth that are not accounted for in the ISCCP simulator. We show that the optical depth discrepancies are largest when the assumptions necessary for plane parallel radiative transfer optical depths retrievals are violated.

Mace, G G; Houser, S; Benson, S; Klein, S A; Min, Q

2009-11-02T23:59:59.000Z

319

Spring Thaw and Its Effect on Terrestrial Vegetation Productivity in the Western Arctic Observed from Satellite Microwave and Optical Remote Sensing  

Science Conference Proceedings (OSTI)

Global satellite remote sensing records show evidence of recent vegetation greening and an advancing growing season at high latitudes. Satellite remote sensing–derived measures of photosynthetic leaf area index (LAI) and vegetation gross and net ...

J. S. Kimball; K. C. McDonald; M. Zhao

2006-12-01T23:59:59.000Z

320

Assimilation of Remote-sensing Soil Moisture in Short-term River Forecasting M. Pan1, E. F. Wood1, W. Crow2, J. Schaake3  

E-Print Network (OSTI)

Assimilation of Remote-sensing Soil Moisture in Short-term River Forecasting M. Pan1, E. F. Wood1 Hydrology and Remote Sensing Lab, US Department of Agriculture 3 National Weather Service, National Oceanic and Atmospheric Administration 1. Introduction This study focuses on evaluation of hydrologic remote sensing

Pan, Ming

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Remote Sensing for Hazard Mitigation and Resource Protection in Pacific Latin America Gregg Bluth (PI); John Gierke, Bill Rose, Essa Gross (Co-PI's)  

E-Print Network (OSTI)

Remote Sensing for Hazard Mitigation and Resource Protection in Pacific Latin America Gregg Bluth the ability to deal with uncertainty in analyzing problems and designing solutions. Remote sensing provides these qualities. Although remote sensing has great potential and is commonly used in research for characterizing

322

The Centre for Statistics at Goettingen University, Germany, is inviting applications for 1 PhD Position in Forest Inventory and Remote Sensing  

E-Print Network (OSTI)

D Position in Forest Inventory and Remote Sensing (75 % E 13 TV-L) within the Research Training Group (RTG, ecology, econometrics, genetics, and remote sensing by means of statistical methods, Ecosystem Modelling, Forest Inventory and Remote Sensing, Genetic Epidemiology, Mathematical Stochastics

Munk, Axel

323

The 27–28 October 1986 FIRE IFO Cirrus Case Study: A Five Lidar Overview of Cloud Structure and Evolution  

Science Conference Proceedings (OSTI)

Optical remote sensing measurements of cirrus cloud properties were collected by one airborne and four ground-based lidar systems over a 32-h period during this cue study from the First ISCCP (International Satellite Cloud Climatology Program) ...

Kenneth Sassen; Christian J. Grund; James D. Spinhirne; Michael M. Hardesty; Jose M. Alvarez

1990-11-01T23:59:59.000Z

324

Improved Detection of Optically Thin Cirrus Clouds in Nighttime Multispectral Meteorological Satellite Imagery Using Total Integrated Water Vapor Information  

Science Conference Proceedings (OSTI)

The accurate identification of optically thin cirrus clouds in global meteorological satellite imagery by automated cloud analysis algorithms is critical to environmental remote sensing studies, such as those related to climate change. While ...

Keith D. Hutchison; Kenneth R. Hardy; Bo-Cai Gao

1995-05-01T23:59:59.000Z

325

Aircraft-Induced Hole Punch and Canal Clouds: Inadvertent Cloud Seeding  

Science Conference Proceedings (OSTI)

The production of holes and channels in altocumulus clouds by two commercial turboprop aircraft is documented for the first time. An unprecedented dataset combining in situ measurements from microphysical probes with remote sensing measurements ...

Andrew J. Heymsfield; Patrick C. Kennedy; Steve Massie; Carl Schmitt; Zhien Wang; Samuel Haimov; Art Rangno

2010-06-01T23:59:59.000Z

326

Remote monitoring of emissions using on-vehicle sensing and vehicle to roadside communications  

DOE Green Energy (OSTI)

Recent developments in on-vehicle electronics makes practical remote monitoring of vehicle emissions compliance with CARB and EPA regulations. A system consisting of emission controls malfunction sensors, an on-board computer (OBC), and vehicle-to-roadside communications (VRC) would enable enforcement officials to remotely and automatically detect vehicle out-of-compliance status. Remote sensing could be accomplished at highway speeds as vehicles pass a roadside RF antenna and reader unit which would interrogate the on- vehicle monitoring and recording system. This paper will focus on the hardware system components require to achieve this goal with special attention to the VRC; a key element for remote monitoring. this remote sensing concept piggybacks on the development of inexpensive VRC equipment for automatic vehicle identification for electronic toll collection and intelligent transportation applications. Employing an RF transponder with appropriate interface to the OBC and malfunction sensors, a practical monitoring system can be developed with potentially important impact on air quality and enforcement. With such a system in place, the current -- and costly and ineffective -- emission control strategy of periodic smog checking could be replaced or modified.

Davis, D.T.

1995-06-01T23:59:59.000Z

327

Hybrid bio-inspired techniques for land cover feature extraction: A remote sensing perspective  

Science Conference Proceedings (OSTI)

Recent advances in the theoretical and practical implementations of biogeography have led to the exploration of new bio-inspired techniques which can prove to be the building blocks of hybrid bio-inspired techniques. This aspect was discovered while ... Keywords: ACO, Ant Colony Optimization, BBO, Biogeography, DEM, DN, DPSO, E, FCM, Feature extraction, GA, HSI, I, Image classification, Kappa Coefficient, LISS, MDMC, MIR, MLC, NIR, PSO, Particle Swarm Optimization, RCBBO, RS1, RS2, Remote sensing, SAR, SIV, TSP

Lavika Goel; Daya Gupta; V. K. Panchal

2012-02-01T23:59:59.000Z

328

Stability and Turbulence in the Atmospheric Boundary Layer: A Comparison of Remote Sensing and Tower Observations  

Science Conference Proceedings (OSTI)

When monitoring winds and atmospheric stability for wind energy applications, remote sensing instruments present some advantages to in-situ instrumentation such as larger vertical extent, in some cases easy installation and maintenance, measurements of vertical humidity profiles throughout the boundary layer, and no restrictions on prevailing wind directions. In this study, we compare remote sensing devices, Windcube lidar and microwave radiometer, to meteorological in-situ tower measurements to demonstrate the accuracy of these measurements and to assess the utility of the remote sensing instruments in overcoming tower limitations. We compare temperature and wind observations, as well as calculations of Brunt-Vaisala frequency and Richardson numbers for the instrument deployment period in May-June 2011 at the U.S. Department of Energy National Renewable Energy Laboratory's National Wind Technology Center near Boulder, Colorado. The study reveals that a lidar and radiometer measure wind and temperature with the same accuracy as tower instruments, while also providing advantages for monitoring stability and turbulence. We demonstrate that the atmospheric stability is determined more accurately when the liquid-water mixing ratio derived from the vertical humidity profile is considered under moist-adiabatic conditions.

Friedrich, K.; Lundquist, J. K.; Aitken, M.; Kalina, E. A.; Marshall, R. F.

2012-01-01T23:59:59.000Z

329

Comparing Aircraft-Based Remotely Sensed Energy Balance Fluxes with Eddy Covariance Tower Data Using Heat Flux Source Area Functions  

Science Conference Proceedings (OSTI)

In an effort to better evaluate distributed airborne remotely sensed sensible and latent heat flux estimates, two heat flux source area (footprint) models were applied to the imagery, and their pixel weighting/integrating functionality was ...

JoséL. Chávez; Christopher M. U. Neale; Lawrence E. Hipps; John H. Prueger; William P. Kustas

2005-12-01T23:59:59.000Z

330

An algorithm to estimate soil moisture over vegetated areas based on in situ and remote sensing information  

Science Conference Proceedings (OSTI)

An algorithm is proposed for estimating soil moisture over vegetated areas. The algorithm uses in situ and remote sensing information and statistical tools to estimate soil moisture at 1 km spatial resolution and at 20 cm ...

N. D. Ramírez-Beltran, C. Calderón-Arteaga, E. Harmsen, R. Vasquez, J. Gonzalez

2010-05-01T23:59:59.000Z

331

An Advanced Optimal Spectral Estimation Algorithm in Fourier Spectroscopy with Application to Remote Sensing of the Atmosphere  

Science Conference Proceedings (OSTI)

Remote sensing of the atmosphere from satellite to improve numerical weather prediction demands objective data handling methods, as the effectiveness of satellite data ultimately rests on our ability to process the data in real time. In this ...

U. Amato; V. Cuomo; C. Serio

1993-09-01T23:59:59.000Z

332

Remotely Sensing the Earth’s Atmosphere Using the Global Positioning System (GPS)—The GPS/MET Data Analysis  

Science Conference Proceedings (OSTI)

The Global Positioning System/Meteorology (GPS/MET) project is an active satellite-to-satellite remote sensing experiment using the radio occultation technique. Due to the atmospheric index of refraction and gradient of the index of refraction, ...

Derek D. Feng; Benjamin M. Herman

1999-08-01T23:59:59.000Z

333

Using SAR Remote Sensing, Field Observations, and Models to Better Understand Coastal Flows in the Gulf of Alaska  

Science Conference Proceedings (OSTI)

The steeply rising coastal terrain of southeast Alaska can produce a wide variety of terrain-induced flows such as barrier jets, gap flows, and downslope wind storms. This study uses a combination of satellite remote sensing, field observations, ...

Nathaniel S. Winstead; Brian Colle; Nicholas Bond; George Young; Joseph Olson; Kenneth Loescher; Frank Monaldo; Donald Thompson; William Pichel

2006-06-01T23:59:59.000Z

334

Relationships among Remotely Sensed Data, Surface Energy Balance, and Area-Averaged Fluxes over Partially Vegetated Land Surfaces  

Science Conference Proceedings (OSTI)

Numerous recent field experiments have examined the use of remote sensing to estimate land surface fluxes of latent and sensible heat using combinations of thermal, visible, and near-infrared data. While substantial progress has been made, ...

M. A. Friedl

1996-11-01T23:59:59.000Z

335

Assessing Groundwater Storage Changes Using Remote Sensing–Based Evapotranspiration and Precipitation at a Large Semiarid Basin Scale  

Science Conference Proceedings (OSTI)

A method is presented that uses remote sensing (RS)-based evapotranspiration (ET) and precipitation estimates with improved accuracies under semiarid conditions to quantify a spatially distributed water balance, for analyzing groundwater storage ...

Mustafa Gokmen; Zoltan Vekerdy; Maciek W. Lubczynski; Joris Timmermans; Okke Batelaan; Wouter Verhoef

2013-12-01T23:59:59.000Z

336

Advances in the remote sensing of volcanic activity and hazards, with special consideration to applications in developing countries  

Science Conference Proceedings (OSTI)

Applications of remote sensing for studies of volcanic activity and hazards have developed rapidly in the past 40 years. This has facilitated the observation of volcanic processes, such as ground deformation and thermal emission changes, lava flows, ...

G. G. J. Ernst; M. Kervyn; R. M. Teeuw

2008-11-01T23:59:59.000Z

337

Reconciling Ground-Based and Space-Based Estimates of the Frequency of Occurrence and Radiative Effect of Clouds around Darwin, Australia  

Science Conference Proceedings (OSTI)

The objective of this paper is to investigate whether estimates of the cloud frequency of occurrence and associated cloud radiative forcing as derived from ground-based and satellite active remote sensing and radiative transfer calculations can be ...

A. Protat; S. A. Young; S. A. McFarlane; T. L’Ecuyer; G. G. Mace; J. M. Comstock; C. N. Long; E. Berry; J. Delanoë

338

Streamlined environmental remediation characterization using remote sensing techniques: Case studies for the US Department of Energy, Oak Ridge Operations  

SciTech Connect

This paper provides an overview of the DOE Oak Ridge Operations Remote Sensing Program and discusses how data from this program have assisted the environmental restoration program in streamlining site-characterization activities. Three case studies are described where remote sensing imagery has provided a more focused understanding of site problems with a resultant reduction in the need for costly and time-consuming, ground-based sampling approaches.

Carden, D.M. [Department of Energy (DOE), TN (United States). Oak Ridge Operations; Smyre, J.L.; Evers, T.K.; King, A.L. [Oak Ridge National Lab., TN (United States)] [and others

1996-07-01T23:59:59.000Z

339

CALMIT Remote-Sensing Research Relating to Carbon Sequestration There is considerable interest in assessing the magnitude of carbon sources and sinks in terrestrial  

E-Print Network (OSTI)

CALMIT Remote-Sensing Research Relating to Carbon Sequestration There is considerable interest in assessing the magnitude of carbon sources and sinks in terrestrial ecosystems using remote sensing techniques. We developed a novel technique to remotely assess carbon dioxide exchange in maize using

Nebraska-Lincoln, University of

340

CALIPSO/CALIOP Cloud Phase Discrimination Algorithm YONGXIANG HU,* DAVID WINKER,* MARK VAUGHAN,* BING LIN,* ALI OMAR,* CHARLES TREPTE,*  

E-Print Network (OSTI)

In passive remote sensing, cloud thermodynamic phase (water or ice) information typically comes from the specCALIPSO/CALIOP Cloud Phase Discrimination Algorithm YONGXIANG HU,* DAVID WINKER,* MARK VAUGHAN The current cloud thermodynamic phase discrimination by Cloud-Aerosol Lidar Pathfinder Satellite Ob

Baum, Bryan A.

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Measurements of aerosol properties from aircraft, satellite and ground-based remote sensing: a case-study from the Dust and Biomass-burning Experiment (DABEX)  

DOE Green Energy (OSTI)

Measurements of aerosol properties from aircraft, satellite and ground-based remote sensing: A case study from the Dust and Biomass burning Experiment (DABEX)

Johnson, B. T.; Christopher, S.; Haywood, J.; Osborne, S. R.; McFarlane, Sally; Hsu, C.; Salustro, C.; Kahn, Ralph

2009-04-28T23:59:59.000Z

342

Inclusion of In-Situ Velocity Measurements into the UCSD Time-Dependent Tomography to Constrain and Better-Forecast Remote-Sensing Observations  

E-Print Network (OSTI)

to Constrain and Better-Forecast Remote-Sensing Observationsa decade to reconstruct and forecast coronal mass ejectionset al. , 2009b). In this forecast, IPS results are compared

Jackson, B. V.; Hick, P. P.; Bisi, M. M.; Clover, J. M.; Buffington, A.

2010-01-01T23:59:59.000Z

343

Remote sensing in a water-resources study of Yellowstone National Park, Wyoming, Montana, and Idaho  

DOE Green Energy (OSTI)

This report describes the usefulness of remote-sensing data in a water-resources study of Yellowstone National Park by delineating warm and cool ground-water areas. Remote-sensing data from aircraft missions in August 1966, September 1967, August 1969, and May 1970 were compared with reconnaissance, ground-temperature surveys, and test-hole data. Thermal-water discharge areas can be determined from infrared imagery and photography from the aircraft missions. Contrasts on infrared imagery caused by differences in vegetative cover, particularly between forested and nonforested areas, often mask the effects of ground-water temperature differences. The imagery, however, shows relatively warm and cool land surface in some areas. Color and color infrared photographs have been useful in reconnaissance. Aerial photographs and field studies of snowpack conditions indicated the usefulness of aerial photography taken during spring snowmelt to determine relatively cool and warm land-surface areas. A snowline in Nez Perce Creek Valley corresponds to a boundary between cool and warm ground water that was determined from augered test holes and ground-temperature surveys. Remnants of the snowpack correlate well with cool areas interpreted from infrared imagery. Relatively cool areas are easier to determine from photographs of snowpack than they are from infrared imagery. Thermal-contour maps could be made from a series of aerial photographs or repetitive data from a satellite taken during the melting of the snowpack.

Cox, E.R.

1973-01-01T23:59:59.000Z

344

Co-design of software and hardware to implement remote sensing algorithms  

SciTech Connect

Both for offline searches through large data archives and for onboard computation at the sensor head, there is a growing need for ever-more rapid processing of remote sensing data. For many algorithms of use in remote sensing, the bulk of the processing takes place in an 'inner loop' with a large number of simple operations. For these algorithms, dramatic speedups can often be obtained with specialized hardware. The difficulty and expense of digital design continues to limit applicability of this approach, but the development of new design tools is making this approach more feasible, and some notable successes have been reported. On the other hand, it is often the case that processing can also be accelerated by adopting a more sophisticated algorithm design. Unfortunately, a more sophisticated algorithm is much harder to implement in hardware, so these approaches are often at odds with each other. With careful planning, however, it is sometimes possible to combine software and hardware design in such a way that each complements the other, and the final implementation achieves speedup that would not have been possible with a hardware-only or a software-only solution. We will in particular discuss the co-design of software and hardware to achieve substantial speedup of algorithms for multispectral image segmentation and for endmember identification.

Theiler, J. P. (James P.); Frigo, J. (Janette); Gokhale, M. (Maya); Szymanski, J. J. (John J.)

2001-01-01T23:59:59.000Z

345

Evaluation of CLM4 Solar Radiation Partitioning Scheme Using Remote Sensing and Site Level FPAR Datasets  

E-Print Network (OSTI)

Abstract: This paper examines a land surface solar radiation partitioning scheme, i.e., that of the Community Land Model version 4 (CLM4) with coupled carbon and nitrogen cycles. Taking advantage of a unique 30-year fraction of absorbed photosynthetically active radiation (FPAR) dataset, derived from the Global Inventory Modeling and Mapping Studies (GIMMS) normalized difference vegetation index (NDVI) data set, multiple other remote sensing datasets, and site level observations, we evaluated the CLM4 FPAR’s seasonal cycle, diurnal cycle, long-term trends, and spatial patterns. Our findings show that the model generally agrees with observations in the seasonal cycle, long-term trends, and spatial patterns, but does not reproduce the diurnal cycle. Discrepancies also exist in seasonality magnitudes, peak value months, and spatial heterogeneity. We identify the discrepancy in the diurnal cycle as, due to, the absence of dependence on sun angle in the model. Implementation of sun angle dependence in a one-dimensional (1-D) model is proposed. The need for better relating of vegetation to climate in the model, indicated by long-term trends, is also noted. Evaluation of the CLM4 land surface solar radiation partitioning scheme using remote sensing and site level FPAR datasets provides targets for

Kai Wang; Jiafu Mao; Robert E. Dickinson; Xiaoying Shi; Wilfred M. Post; Zaichun Zhu; Ranga B. Myneni

2013-01-01T23:59:59.000Z

346

BNL | Cloud Lifecycle Infrastructure  

NLE Websites -- All DOE Office Websites (Extended Search)

Cloud Life Cycle Infrastructure Cloud Life Cycle Infrastructure An important component of any long-term atmospheric measurement program is the quality control and maintenance of the datastreams from instrument systems. Further, the raw measurements from atmospheric remote sensing instrumentation are not directly useable by the majority of the scientific community. These raw measurements must be interpreted and converted to geophysical quantities that can be more readily used by a greater number of scientists to address important questions regarding the Earth's climate system. The cloud life cycle infrastructure group at BNL is led by Dr. Michael Jensen and is responsible for the development and production of cloud-related value-added products (VAPs). The cloud life cycle infrastructure group also provides mentorships for the millimeter cloud

347

Multisensor Fusion of Ground-based and Airborne Remote Sensing Data for Crop Condition Assessment  

E-Print Network (OSTI)

In this study, the performances of the optical sensors and instruments carried on both ground-based and airborne platforms were evaluated for monitoring crop growing status, detecting the vegetation response to aerial applied herbicides, and identifying crop nitrogen status. Geostatistical analysis on remotely sensed data was conducted to investigate spatial structure of crop canopy normalized difference vegetation index and multispectral imagery. A computerized crop monitoring system was developed that combined sensors and instruments that measured crop structure and spectral data with a global positioning system. The integrated crop monitoring system was able to collect real-time, multi-source, multi-form, and crop related data simultaneously as the tractor-mounted system moved through the field. This study firstly used remotely sensed data to evaluate glyphosate efficacy on weeds applied with conventional and emerging aerial spray nozzles. A weedy field was In this study, the performances of the optical sensors and instruments carried on both ground-based and airborne platforms were evaluated for monitoring crop growing status, detecting the vegetation response to aerial applied herbicides, and identifying crop nitrogen status. Geostatistical analysis on remotely sensed data was conducted to investigate spatial structure of crop canopy normalized difference vegetation index and multispectral imagery. A computerized crop monitoring system was developed that combined sensors and instruments that measured crop structure and spectral data with a global positioning system. The integrated crop monitoring system was able to collect real-time, multi-source, multi-form, and crop related data simultaneously as the tractor-mounted system moved through the field. This study firstly used remotely sensed data to evaluate glyphosate efficacy on weeds applied with conventional and emerging aerial spray nozzles. A weedy field was set up in three blocks and four aerial spray technology treatments were tested. Spectral reflectance measurements were taken using ground-based sensors from all the plots at 1, 8, and 17 days after treatment. The results indicated that the differences among the treatments could be detected with spectral data. This study could provide applicators with guidance equipment configurations that can result in herbicide savings and optimized applications in other crops. The main focus of this research was to apply sensor fusion technology to ground-based and airborne imagery data. Experimental plots cropped with cotton and soybean plants were set up with different nitrogen application rates. The multispectral imagery was acquired by an airborne imaging system over crop field; at the same period, leaf chlorophyll content and spectral reflectance measurements were gathered with chlorophyll meter and spectroradiometer at canopy level on the ground, respectively. Statistical analyses were applied on the data from individual sensor for discrimination with respect to the nitrogen treatment levels. Multisensor data fusion was performed at data level. The results showed that the data fusion of airborne imagery with ground-based data were capable of improving the performance of remote sensing data on detection of crop nitrogen status. The method may be extended to other types of data, and data fusion can be performed at feature or decision level.

Zhang, Huihui

2010-12-01T23:59:59.000Z

348

AIRBORNE, OPTICAL REMOTE SENSING OF METHANE AND ETHANE FOR NATURAL GAS PIPELINE LEAK DETECTION  

SciTech Connect

Ophir Corporation was awarded a contract by the U. S. Department of Energy, National Energy Technology Laboratory under the Project Title ''Airborne, Optical Remote Sensing of Methane and Ethane for Natural Gas Pipeline Leak Detection'' on October 14, 2002. This second six-month technical report summarizes the progress made towards defining, designing, and developing the hardware and software segments of the airborne, optical remote methane and ethane sensor. The most challenging task to date has been to identify a vendor capable of designing and developing a light source with the appropriate output wavelength and power. This report will document the work that has been done to identify design requirements, and potential vendors for the light source. Significant progress has also been made in characterizing the amount of light return available from a remote target at various distances from the light source. A great deal of time has been spent conducting laboratory and long-optical path target reflectance measurements. This is important since it helps to establish the overall optical output requirements for the sensor. It also reduces the relative uncertainty and risk associated with developing a custom light source. The data gathered from the optical path testing has been translated to the airborne transceiver design in such areas as: fiber coupling, optical detector selection, gas filters, and software analysis. Ophir will next, summarize the design progress of the transceiver hardware and software development. Finally, Ophir will discuss remaining project issues that may impact the success of the project.

Jerry Myers

2003-11-12T23:59:59.000Z

349

In Situ Cloud Sensing with Multiple Scattering Lidar: Design and Validation of an Airborne Sensor  

Science Conference Proceedings (OSTI)

The in situ cloud lidar is designed to measure cloud volumes of millions of cubic meters to overcome the sampling limitations of traditional cloud probes in inhomogeneous clouds. This technique sends laser pulses horizontally from an aircraft ...

K. Franklin Evans; Darren O’Connor; Pat Zmarzly; R. Paul Lawson

2006-08-01T23:59:59.000Z

350

SEPTEMBER 2011 VOLUME 4 NUMBER 3 IJSTHZ (ISSN 1939-1404) SPECIAL ISSUE ON HIGH PERFORMANCE COMPUTING IN EARTH OBSERVATION AND REMOTE SENSING  

E-Print Network (OSTI)

1939-1404) SPECIAL ISSUE ON HIGH PERFORMANCE COMPUTING IN EARTH OBSERVATION AND REMOTE SENSING Foreword to the Special Issue on High Performance Computing in Earth Observation and Remote Sensing .................................... ................................................................ C. A. Lee, S. D. Gasster, A. Plaza, C.-I Chang, and B. Huang 508 High Performance Computing

Plaza, Antonio J.

351

Posters Toward an Operational Water Vapor Remote Sensing System Using the Global Positioning System  

NLE Websites -- All DOE Office Websites (Extended Search)

3 3 Posters Toward an Operational Water Vapor Remote Sensing System Using the Global Positioning System S. I. Gutman, (a) R. B. Chadwick, (b) and D. W. Wolf (c) National Oceanic and Atmospheric Administration Boulder, Colorado A. Simon Cooperative Institute for Research in Environmental Science Boulder, Colorado T. Van Hove and C. Rocken University Navstar Consortium Boulder, Colorado Background Water vapor is one of the most important constituents of the free atmosphere since it is the principal mechanism by which moisture and latent heat are transported and cause "weather." The measurement of atmospheric water vapor is essential for weather and climate research as well as for operational weather forecasting. An important goal in modern weather prediction is to improve the accuracy of short-term

352

UNMANNED AERIAL VEHICLE (UAV) HYPERSPECTRAL REMOTE SENSING FOR DRYLAND VEGETATION MONITORING  

SciTech Connect

UAV-based hyperspectral remote sensing capabilities developed by the Idaho National Lab and Idaho State University, Boise Center Aerospace Lab, were recently tested via demonstration flights that explored the influence of altitude on geometric error, image mosaicking, and dryland vegetation classification. The test flights successfully acquired usable flightline data capable of supporting classifiable composite images. Unsupervised classification results support vegetation management objectives that rely on mapping shrub cover and distribution patterns. Overall, supervised classifications performed poorly despite spectral separability in the image-derived endmember pixels. Future mapping efforts that leverage ground reference data, ultra-high spatial resolution photos and time series analysis should be able to effectively distinguish native grasses such as Sandberg bluegrass (Poa secunda), from invasives such as burr buttercup (Ranunculus testiculatus) and cheatgrass (Bromus tectorum).

Nancy F. Glenn; Jessica J. Mitchell; Matthew O. Anderson; Ryan C. Hruska

2012-06-01T23:59:59.000Z

353

Integrated ground-based and remotely sensed data to support global studies of environmental change  

Science Conference Proceedings (OSTI)

Data centers routinely archive and distribute large databases of high quality and with rigorous documentation but, to meet the needs of global studies effectively and efficiently, data centers must go beyond these traditional roles. Global studies of environmental change require integrated databases of multiple data types that are accurately coordinated in terms of spatial, temporal and thematic properties. Such datasets must be designed and developed jointly by scientific researchers, computer specialists, and policy analysts. The presentation focuses on our approach for organizing data from ground-based research programs so that the data can be linked with remotely sensed data and other map data into integrated databases with spatial, temporal, and thematic characteristics relevant to global studies. The development of an integrated database for Net Primary Productivity is described to illustrate the process.

Olson, R.J.; Turner, R.S.; Garten, C.T.

1994-09-15T23:59:59.000Z

354

Hyperspectral remote sensing analysis of short rotation woody crops grown with controlled nutrient and irrigation treatments.  

SciTech Connect

Abstract - Hyperspectral remote sensing research was conducted to document the biophysical and biochemical characteristics of controlled forest plots subjected to various nutrient and irrigation treatments. The experimental plots were located on the Savannah River Site near Aiken, SC. AISA hyperspectral imagery were analysed using three approaches, including: (1) normalized difference vegetation index based simple linear regression (NSLR), (2) partial least squares regression (PLSR) and (3) machine-learning regression trees (MLRT) to predict the biophysical and biochemical characteristics of the crops (leaf area index, stem biomass and five leaf nutrients concentrations). The calibration and cross-validation results were compared between the three techniques. The PLSR approach generally resulted in good predictive performance. The MLRT approach appeared to be a useful method to predict characteristics in a complex environment (i.e. many tree species and numerous fertilization and/or irrigation treatments) due to its powerful adaptability.

Im, Jungho; Jensen, John R.; Coleman, Mark; Nelson, Eric

2009-04-01T23:59:59.000Z

355

VEGETATION COVER ANALYSIS OF HAZARDOUS WASTE SITES IN UTAH AND ARIZONA USING HYPERSPECTRAL REMOTE SENSING  

Science Conference Proceedings (OSTI)

Remote sensing technology can provide a cost-effective tool for monitoring hazardous waste sites. This study investigated the usability of HyMap airborne hyperspectral remote sensing data (126 bands at 2.3 x 2.3 m spatial resolution) to characterize the vegetation at U.S. Department of Energy uranium processing sites near Monticello, Utah and Monument Valley, Arizona. Grass and shrub species were mixed on an engineered disposal cell cover at the Monticello site while shrub species were dominant in the phytoremediation plantings at the Monument Valley site. The specific objectives of this study were to: (1) estimate leaf-area-index (LAI) of the vegetation using three different methods (i.e., vegetation indices, red-edge positioning (REP), and machine learning regression trees), and (2) map the vegetation cover using machine learning decision trees based on either the scaled reflectance data or mixture tuned matched filtering (MTMF)-derived metrics and vegetation indices. Regression trees resulted in the best calibration performance of LAI estimation (R{sup 2} > 0.80). The use of REPs failed to accurately predict LAI (R{sup 2} < 0.2). The use of the MTMF-derived metrics (matched filter scores and infeasibility) and a range of vegetation indices in decision trees improved the vegetation mapping when compared to the decision tree classification using just the scaled reflectance. Results suggest that hyperspectral imagery are useful for characterizing biophysical characteristics (LAI) and vegetation cover on capped hazardous waste sites. However, it is believed that the vegetation mapping would benefit from the use of 1 higher spatial resolution hyperspectral data due to the small size of many of the vegetation patches (< 1m) found on the sites.

Serrato, M.; Jungho, I.; Jensen, J.; Jensen, R.; Gladden, J.; Waugh, J.

2012-01-17T23:59:59.000Z

356

Results of the remote sensing feasibility study for the uranium hexafluoride storage cylinder yard program  

Science Conference Proceedings (OSTI)

The US DOE manages the safe storage of approximately 650,000 tons of depleted uranium hexafluoride remaining from the Cold War. This slightly radioactive, but chemically active, material is contained in more than 46,000 steel storage cylinders that are located at Oak Ridge, Tennessee; Paducah, Kentucky; and Portsmouth, Ohio. Some of the cylinders are more than 40 years old, and approximately 17,500 are considered problem cylinders because their physical integrity is questionable. These cylinders require an annual visual inspection. The remainder of the 46,000-plus cylinders must be visually inspected every four years. Currently, the cylinder inspection program is extremely labor intensive. Because these inspections are accomplished visually, they may not be effective in the early detection of leaking cylinders. The inspection program requires approximately 12--14 full-time-equivalent (FTE) employees. At the cost of approximately $125K per FTE, this translates to $1,500K per annum just for cylinder inspection. As part of the technology-development portion of the DOE Cylinder Management Program, the DOE Office of Facility Management requested the Remote Sensing Laboratory (RSL) to evaluate remote sensing techniques that have potential to increase the effectiveness of the inspection program and, at the same time, reduce inspection costs and personnel radiation exposure. During two site visits (March and May 1996) to the K-25 Site at Oak Ridge, TN, RSL personnel tested and characterized seven different operating systems believed to detect leakage, surface contamination, thickness and corrosion of cylinder walls, and general area contamination resulting from breached cylinders. The following techniques were used and their performances are discussed: Laser-induced fluorescent imaging; Long-range alpha detection; Neutron activation analysis; Differential gamma-ray attenuation; Compton scatterometry; Active infrared inspection; and Passive thermal infrared imaging.

Balick, L.K.; Bowman, D.R. [Bechtel Nevada, Las Vegas, NV (United States). Remote Sensing Lab.; Bounds, J.H. [Los Alamos National Lab., NM (United States)] [and others

1997-02-01T23:59:59.000Z

357

The Relation between Cumulus Albedo and Extinction Coefficient and Its Application to Remote Sensing  

Science Conference Proceedings (OSTI)

An analytic model of three-dimensional radiative transfer is modified to include cloud-cloud interactions and finite surface albedo. The spectrally integrated output is used to derive extinction coefficients for cumulus clouds from aircraft ...

S. G. Bradley

1981-10-01T23:59:59.000Z

358

AIRBORNE, OPTICAL REMOTE SENSING OF METHANE AND ETHANE FOR NATURAL GAS PIPLINE LEAK DETECTION  

SciTech Connect

Ophir Corporation was awarded a contract by the U. S. Department of Energy, National Energy Technology Laboratory under the Project Title ''Airborne, Optical Remote Sensing of Methane and Ethane for Natural Gas Pipeline Leak Detection'' on October 14, 2002. The third six-month technical report contains a summary of the progress made towards finalizing the design and assembling the airborne, remote methane and ethane sensor. The vendor has been chosen and is on contract to develop the light source with the appropriate linewidth and spectral shape to best utilize the Ophir gas correlation software. Ophir has expanded upon the target reflectance testing begun in the previous performance period by replacing the experimental receiving optics with the proposed airborne large aperture telescope, which is theoretically capable of capturing many times more signal return. The data gathered from these tests has shown the importance of optimizing the fiber optic receiving fiber to the receiving optic and has helped Ophir to optimize the design of the gas cells and narrowband optical filters. Finally, Ophir will discuss remaining project issues that may impact the success of the project.

Jerry Myers

2004-05-12T23:59:59.000Z

359

Advances in large-area Hg1-xCdxTe photovoltaic detectors for remote-sensing applications  

Science Conference Proceedings (OSTI)

State-of-the-art large-area photovoltaic (PV) detectors fabricated in HgCdTe grown by molecular beam epitaxy (MBE) have been demonstrated for the Crosstrack Infrared Sounder (CrIS) instrument. Large-area devices (1 mm in diameter) yielded excellent electrical ... Keywords: HgCdTe, crosstrack infrared sounder, molecular beam epitaxy (MBE), photovoltaic detectors, remote sensing

P. S. Wijewarnasuriya; M. Zandian; J. Phillips; D. Edwall; R. E. Dewames; G. Hildebrandt; J. Bajaj; J. M. Arias; A. I. D'Souza; F. Moore

2002-07-01T23:59:59.000Z

360

Final Report for the MANNRRSS II Program Management of Nevada's Natural Resources with Remote Sensing Systems, Beatty, NV  

Science Conference Proceedings (OSTI)

This document provides the Final Report on the Management of Nevada’s Natural Resources with Remote Sensing Systems (MANNRRSS) II program. This is a U.S. Department of Energy (DOE)-funded project tasked with utilizing hyperspectral and ancillary electro-optical instrumentation data to create an environmental characterization of an area directly adjacent to the Nevada Test Site (NTS).

Lester Miller; Brian Horowitz; Chris Kratt; Tim Minor; Stephen F. Zitzer; James. V. Taranik; Zan L. Aslett; Todd O. Morken

2009-06-04T23:59:59.000Z

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

2644 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 46, NO. 9, SEPTEMBER 2008 Ocean Wavenumber Estimation From  

E-Print Network (OSTI)

Wavenumber Estimation From Wave-Resolving Time Series Imagery Nathaniel G. Plant, K. Todd Holland gravity wavenumbers from wave-resolving remotely sensed image sequences. Two fundamentally different approaches that utilize these data exist. A power spectral density approach identifies wavenumbers where

Haller, Merrick

362

A ZigBee multi-powered wireless acquisition device for remote sensing applications in precision viticulture  

Science Conference Proceedings (OSTI)

This paper is part of a long-term effort to introduce precision viticulture in the region of Demarcated Region of Douro. It presents the architecture, hardware and software of a platform designed for that purpose, called MPWiNodeZ. A major feature of ... Keywords: Acquisition device, Energy harvesting, Remote sensing, Viticulture, Wireless sensor network, ZigBee

Raul Morais; Miguel A. Fernandes; Samuel G. Matos; Carlos Serôdio; P. J. S. G. Ferreira; M. J. C. S. Reis

2008-07-01T23:59:59.000Z

363

Contribution of Thermal Infrared Remote Sensing Data in Multiobjective Calibration of a Dual-Source SVAT Model  

Science Conference Proceedings (OSTI)

This study fits within the overall research on the usage of space remote sensing data to constrain land surface models (LSMs) (also called SVAT models for soil–vegetation–atmosphere transfer). The goal of this paper is to analyze the potential of ...

Benoit Coudert; Catherine Ottlé; Brice Boudevillain; Jérôme Demarty; Pierre Guillevic

2006-06-01T23:59:59.000Z

364

Impact of Ingesting Satellite-Derived Cloud Cover into the Regional Atmospheric Modeling System  

Science Conference Proceedings (OSTI)

This study investigates the extent to which assimilating high-resolution remotely sensed cloud cover into the Regional Atmospheric Modeling System (RAMS) provides an improved regional diagnosis of downward short- and longwave surface radiation ...

Ismail Yucel; W. James Shuttleworth; R. T. Pinker; L. Lu; S. Sorooshian

2002-03-01T23:59:59.000Z

365

Short-Term Performance of MM5 with Cloud-Cover Assimilation from Satellite Observations  

Science Conference Proceedings (OSTI)

This study investigates the extent to which assimilating high-resolution remotely sensed cloud cover into the fifth-generation Pennsylvania State University–National Center for Atmospheric Research (PSU–NCAR) Mesoscale Model (MM5) provides an ...

Ismail Yucel; W. James Shuttleworth; X. Gao; S. Sorooshian

2003-08-01T23:59:59.000Z

366

The Application of Time Series Models to Cloud Field Morphology Analysis  

Science Conference Proceedings (OSTI)

A modeling method for the quantitative description of remotely sensed cloud field images is presented. A two-dimensional texture modeling scheme based on one-dimensional time series procedures is adopted for this purpose. The time series ...

Roland T. Chin; Jack Y. C. Jau; James A. Weinman

1987-03-01T23:59:59.000Z

367

Influences of Storm-Embedded Orographic Gravity Waves on Cloud Liquid Water and Precipitation  

Science Conference Proceedings (OSTI)

This study illustrates opportunities for much improved orographic quantitative precipitation forecasting, determination of orographic cloud seedability, and flash flood prediction through state-of-the-art remote sensing and numerical modeling of ...

Roger F. Reinking; Jack B. Snider; Janice L. Coen

2000-06-01T23:59:59.000Z

368

Lidar-Based Characterization of the Geometry and Structure of Water Clouds  

Science Conference Proceedings (OSTI)

Lidar remote sensing measurements of low-level water clouds in the form of vertical soundings and instantaneous (1 min) azimuth-over-elevation scans are reported. Retrievals are made of the liquid water content and effective droplet diameter at ...

Luc R. Bissonnette; Gilles Roy; Grégoire Tremblay

2007-08-01T23:59:59.000Z

369

Exploring Cloud-to-Ground Lightning Earth Highpoint Attachment Geography by Peak Current  

Science Conference Proceedings (OSTI)

This study applied remotely sensed cloud-to-ground (CG) lightning strike location data, a digital elevation model (DEM), and a geographic information system (GIS) to characterize negative polarity peak current CG lightning Earth attachment ...

Brandon J. Vogt

2011-02-01T23:59:59.000Z

370

Radar Observations of Transport and Diffusion in Clouds and Precipitation Using TRACIR  

Science Conference Proceedings (OSTI)

A remote-sensing technique called TRACIR (tracking air with circular-polarization radar) was developed recently for studying air-parcel trajectories in clouds. The technique uses a dual-circular-polarization radar to detect microwave chaff fibers ...

Brooks E. Martner; Robert A. Kropfli; John D. Marwitz

1992-06-01T23:59:59.000Z

371

Combined Infrared Stereo and Laser Ranging Cloud Measurements from Shuttle Mission STS-85  

Science Conference Proceedings (OSTI)

Multiangle remote sensing provides a wealth of information for earth and climate monitoring, such as the ability to measure the height of cloud tops through stereoscopic imaging. Further, as technology advances so do the options for developing ...

Redgie S. Lancaster; James D. Spinhirne; Kathrine F. Manizade

2003-01-01T23:59:59.000Z

372

Validation of MODIS-Retrieved Cloud Fractions Using Whole Sky Imager Measurements at the Three ARM Sites  

NLE Websites -- All DOE Office Websites (Extended Search)

MODIS-Retrieved Cloud Fractions Using MODIS-Retrieved Cloud Fractions Using Whole Sky Imager Measurements at the Three ARM Sites Z. Li, M. C. Cribb, and F.-L. Chang Earth System Science Interdisciplinary Center University of Maryland College Park, Maryland A. P. Trishchenko Canada Centre for Remote Sensing Ottawa, Ontario, Canada Introduction Given the importance of clouds in modulating the surface energy budget, it is critical to obtain accurate estimates of their fractional amount in the atmospheric column for use in modeling studies. Satellite remote sensing of cloud properties such as cloud amount has the advantage of providing global coverage on a regular basis. Ground-based surveys of cloud fraction offer a practical database for use in determining the accuracy of these remotely sensed estimates of cloud fraction on a regional scale.

373

Systematic evaluation of satellite remote sensing for identifying uranium mines and mills.  

SciTech Connect

In this report, we systematically evaluate the ability of current-generation, satellite-based spectroscopic sensors to distinguish uranium mines and mills from other mineral mining and milling operations. We perform this systematic evaluation by (1) outlining the remote, spectroscopic signal generation process, (2) documenting the capabilities of current commercial satellite systems, (3) systematically comparing the uranium mining and milling process to other mineral mining and milling operations, and (4) identifying the most promising observables associated with uranium mining and milling that can be identified using satellite remote sensing. The Ranger uranium mine and mill in Australia serves as a case study where we apply and test the techniques developed in this systematic analysis. Based on literature research of mineral mining and milling practices, we develop a decision tree which utilizes the information contained in one or more observables to determine whether uranium is possibly being mined and/or milled at a given site. Promising observables associated with uranium mining and milling at the Ranger site included in the decision tree are uranium ore, sulfur, the uranium pregnant leach liquor, ammonia, and uranyl compounds and sulfate ion disposed of in the tailings pond. Based on the size, concentration, and spectral characteristics of these promising observables, we then determine whether these observables can be identified using current commercial satellite systems, namely Hyperion, ASTER, and Quickbird. We conclude that the only promising observables at Ranger that can be uniquely identified using a current commercial satellite system (notably Hyperion) are magnesium chlorite in the open pit mine and the sulfur stockpile. Based on the identified magnesium chlorite and sulfur observables, the decision tree narrows the possible mineral candidates at Ranger to uranium, copper, zinc, manganese, vanadium, the rare earths, and phosphorus, all of which are milled using sulfuric acid leaching.

Blair, Dianna Sue; Stork, Christopher Lyle; Smartt, Heidi Anne; Smith, Jody Lynn

2006-01-01T23:59:59.000Z

374

AIRBORNE, OPTICAL REMOTE SENSING OF METHANE AND ETHANE FOR NATURAL GAS PIPELINE LEAK DETECTION  

Science Conference Proceedings (OSTI)

Ophir Corporation was awarded a contract by the U. S. Department of Energy, National Energy Technology Laboratory under the Project Title ''Airborne, Optical Remote Sensing of Methane and Ethane for Natural Gas Pipeline Leak Detection'' on October 14, 2002. This six-month technical report summarizes the progress for each of the proposed tasks, discusses project concerns, and outlines near-term goals. Ophir has completed a data survey of two major natural gas pipeline companies on the design requirements for an airborne, optical remote sensor. The results of this survey are disclosed in this report. A substantial amount of time was spent on modeling the expected optical signal at the receiver at different absorption wavelengths, and determining the impact of noise sources such as solar background, signal shot noise, and electronic noise on methane and ethane gas detection. Based upon the signal to noise modeling and industry input, Ophir finalized the design requirements for the airborne sensor, and released the critical sensor light source design requirements to qualified vendors. Responses from the vendors indicated that the light source was not commercially available, and will require a research and development effort to produce. Three vendors have responded positively with proposed design solutions. Ophir has decided to conduct short path optical laboratory experiments to verify the existence of methane and absorption at the specified wavelength, prior to proceeding with the light source selection. Techniques to eliminate common mode noise were also evaluated during the laboratory tests. Finally, Ophir has included a summary of the potential concerns for project success and has established future goals.

Jerry Myers

2003-05-13T23:59:59.000Z

375

Improving Rangeland Monitoring and Assessment: Integrating Remote Sensing, GIS, and Unmanned Aerial Vehicle Systems  

SciTech Connect

Creeping environmental changes are impacting some of the largest remaining intact parcels of sagebrush steppe ecosystems in the western United States, creating major problems for land managers. The Idaho National Laboratory (INL), located in southeastern Idaho, is part of the sagebrush steppe ecosystem, one of the largest ecosystems on the continent. Scientists at the INL and the University of Idaho have integrated existing field and remotely sensed data with geographic information systems technology to analyze how recent fires on the INL have influenced the current distribution of terrestrial vegetation. Three vegetation mapping and classification systems were used to evaluate the changes in vegetation caused by fires between 1994 and 2003. Approximately 24% of the sagebrush steppe community on the INL was altered by fire, mostly over a 5-year period. There were notable differences between methods, especially for juniper woodland and grasslands. The Anderson system (Anderson et al. 1996) was superior for representing the landscape because it includes playa/bare ground/disturbed area and sagebrush steppe on lava as vegetation categories. This study found that assessing existing data sets is useful for quantifying fire impacts and should be helpful in future fire and land use planning. The evaluation identified that data from remote sensing technologies is not currently of sufficient quality to assess the percentage of cover. To fill this need, an approach was designed using both helicopter and fixed wing unmanned aerial vehicles (UAVs) and image processing software to evaluate six cover types on field plots located on the INL. The helicopter UAV provided the best system compared against field sampling, but is more dangerous and has spatial coverage limitations. It was reasonably accurate for dead shrubs and was very good in assessing percentage of bare ground, litter and grasses; accuracy for litter and shrubs is questionable. The fixed wing system proved to be feasible and can collect imagery for very large areas in a short period of time. It was accurate for bare ground and grasses. Both UAV systems have limitations, but these will be reduced as the technology advances. In both cases, the UAV systems collected data at a much faster rate than possible on the ground. The study concluded that improvements in automating the image processing efforts would greatly improve use of the technology. In the near future, UAV technology may revolutionize rangeland monitoring in the same way Global Positioning Systems have affected navigation while conducting field activities.

Robert Paul Breckenridge

2007-05-01T23:59:59.000Z

376

Critical Evaluation of the ISCCP Simulator Using Ground-Based Remote Sensing Data  

Science Conference Proceedings (OSTI)

Given the known shortcomings in representing clouds in global climate models (GCMs), comparisons with observations are critical. The International Satellite Cloud Climatology Project (ISCCP) diagnostic products provide global descriptions of ...

Gerald G. Mace; Stephanie Houser; Sally Benson; Stephen A. Klein; Qilong Min

2011-03-01T23:59:59.000Z

377

A Study of the Aerosol Effect on a Cloud Field with Simultaneous Use of GCM Modeling and Satellite Observation  

Science Conference Proceedings (OSTI)

The indirect effect of aerosols was simulated by a GCM for nonconvective water clouds and was compared with remote sensing results from the Advanced Very High Resolution Radiometer (AVHRR) satellite-borne sensor for January, April, July, and ...

Kentaroh Suzuki; Teruyuki Nakajima; Atusi Numaguti; Toshihiko Takemura; Kazuaki Kawamoto; Akiko Higurashi

2004-01-01T23:59:59.000Z

378

Application of Clouds Occurrence Climatology from CALIOP to Evaluate Performances of Airborne and Satellite Electro-Optical Sensors  

Science Conference Proceedings (OSTI)

A wide variety of optronic sensors, onboard satellite or airborne platform, are used for remote sensing, surveillance applications or telecommunications. Cloud presence in the field of view is one of the key factors limiting the performances of ...

A. Bizard; K. Caillault; C. Lavigne; A. Roblin; P. Chervet

379

A Satellite-Based Convective Cloud Object Tracking and Multipurpose Data Fusion Tool with Application to Developing Convection  

Science Conference Proceedings (OSTI)

Studying deep convective clouds requires the use of available observation platforms with high temporal and spatial resolution, as well as other non–remote sensing meteorological data (i.e., numerical weather prediction model output, conventional ...

Justin M. Sieglaff; Daniel C. Hartung; Wayne F. Feltz; Lee M. Cronce; Valliappa Lakshmanan

2013-03-01T23:59:59.000Z

380

Remote sensing for site-specific management of biotic and abiotic stress in cotton  

E-Print Network (OSTI)

This study evaluated the applicability of remote sensing instrumentation for site- specific management of abiotic and biotic stress on cotton grown under a center pivot. Three different irrigation regimes (100%, 75%, and 50% ETc) were imposed on a cotton field to 1) monitor canopy temperatures of cotton with infrared thermometers (IRTs) in order to pinpoint areas of biotic and abiotic stress, 2) compare aerial infrared photography to IRTs mounted on center pivots to correlate areas of biotic and abiotic stress, and 3) relate yield to canopy temperatures. Pivot-mounted IRTs and IR camera were able to differentiate water stress between the irrigation regimes, however, only the IR camera was effectively able to distinguish between biotic (cotton root rot) and abiotic (drought) stress with the assistance of groundtruthing. The 50% ETc regime had significantly higher canopy temperatures, which were reflected in significantly lower lint yields when compared to the 75% and 100% ETc regimes. Deficit irrigation up to 75% ETc had no impact on yield, indicating that water savings were possible without yield depletion.

Falkenberg, Nyland Ray

2005-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Introduction to structure from motion and its applications in remote sensing  

SciTech Connect

This talk discusses my experience at Los Alamos National Laboratories developing the Wide Area Persistent Surveillance (WAPS) system AngelFire and the problems with working with low resolution surface models. This experience provided a motivation to seek solutions to utilize the redundant WAPS imagery to build surface models of the urban environment. Structure from Motion (SfM) is a process that takes multiple view imagery and compute the 3D structure of a scene. We will walk through the basic algorithm and discuss areas for optimization. Military services and intelligence agencies face long-standing challenges with processing, exploiting, and disseminating ISR data. The problem is that too much data is being produced and not enough people to look at it and the problem is not going away. As a result of this data overload, we need to shift the way we think about data and find creative ways to use and present it so it can be easily digested by decision makers. SfM also provides a means for developing a data processing and organization architecture. Applications for various remote sensing applications will be discussed for motivation for why SfM and Multi-View Stereo rendering is an important area that needs to be continued to be developed.

Fair, Matt B [Los Alamos National Laboratory

2011-01-11T23:59:59.000Z

382

An intensity-modulated dual-wavelength He-Ne laser for remote sensing of methane  

SciTech Connect

The differential absorption laser radar for methane sensing detects a leakage of methane gas by emitting into the atmosphere the light of a wavelength absorbable by methane, receiving the light returning after being reflected or scattered on a road or wall surface, etc., and measuring the light intensity lost during the travel. This methane detection system is highly practicable as it makes an instantaneous remote detection possible. The authors have developed a new He-Ne laser that could be used as the light source for the above system. This device emits a two-wavelength laser beam (one wavelength absorbable by methane and the other not absorbable by methane but used for referential purposes) from a single plasma tube, and there is no possibility of the axes of the two-wavelength component deviating from each other. Further, using this laser, they have developed a vehicle-mounted type differential absorption laser radar system which has successfully detected low density methane leakage while the vehicle was moving.

Ueki, T.; Tanaka, H.; Uehara, K.

1988-01-01T23:59:59.000Z

383

ShrinkWrap: 3D model abstraction for remote sensing simulation  

SciTech Connect

Remote sensing simulations often require the use of 3D models of objects of interest. There are a multitude of these models available from various commercial sources. There are image processing, computational, database storage, and . data access advantages to having a regularized, encapsulating, triangular mesh representing the surface of a 3D object model. However, this is usually not how these models are stored. They can have too much detail in some areas, and not enough detail in others. They can have a mix of planar geometric primitives (triangles, quadrilaterals, n-sided polygons) representing not only the surface of the model, but also interior features. And the exterior mesh is usually not regularized nor encapsulating. This paper presents a method called SHRlNKWRAP which can be used to process 3D object models to achieve output models having the aforementioned desirable traits. The method works by collapsing an encapsulating sphere, which has a regularized triangular mesh on its surface, onto the surface of the model. A GUI has been developed to make it easy to leverage this capability. The SHRlNKWRAP processing chain and use of the GUI are described and illustrated.

Pope, Paul A [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

384

Large-scale functional models of visual cortex for remote sensing  

SciTech Connect

Neuroscience has revealed many properties of neurons and of the functional organization of visual cortex that are believed to be essential to human vision, but are missing in standard artificial neural networks. Equally important may be the sheer scale of visual cortex requiring {approx}1 petaflop of computation. In a year, the retina delivers {approx}1 petapixel to the brain, leading to massively large opportunities for learning at many levels of the cortical system. We describe work at Los Alamos National Laboratory (LANL) to develop large-scale functional models of visual cortex on LANL's Roadrunner petaflop supercomputer. An initial run of a simple region VI code achieved 1.144 petaflops during trials at the IBM facility in Poughkeepsie, NY (June 2008). Here, we present criteria for assessing when a set of learned local representations is 'complete' along with general criteria for assessing computer vision models based on their projected scaling behavior. Finally, we extend one class of biologically-inspired learning models to problems of remote sensing imagery.

Brumby, Steven P [Los Alamos National Laboratory; Kenyon, Garrett [Los Alamos National Laboratory; Rasmussen, Craig E [Los Alamos National Laboratory; Swaminarayan, Sriram [Los Alamos National Laboratory; Bettencourt, Luis [Los Alamos National Laboratory; Landecker, Will [PORTLAND STATE UNIV.

2009-01-01T23:59:59.000Z

385

U-247: EMC Cloud Tiering Appliance Flaw Lets Remote Users Bypass...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Configuration Manager Database Authentication Bypass Vulnerability V-120: EMC Smarts Network Configuration Manager Java RMI Access Control Flaw Lets Remote Users Gain Full Control...

386

Article Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing  

E-Print Network (OSTI)

Abstract: Estimates of above ground biomass density in forests are crucial for refining global climate models and understanding climate change. Although data from field studies can be aggregated to estimate carbon stocks on global scales, the sparsity of such field data, temporal heterogeneity and methodological variations introduce large errors. Remote sensing measurements from spaceborne sensors are a realistic alternative for global carbon accounting; however, the uncertainty of such measurements is not well known and remains an active area of research. This article describes an effort to collect field data at the Harvard and Howland Forest sites, set in the temperate forests of the Northeastern United States in an attempt to establish ground truth forest biomass for calibration of remote sensing measurements. We present an assessment of the quality of ground truth biomass estimates derived from three different sets of diameter-based allometric equations over the Harvard and Howland Forests to establish the contribution of errors in ground truth data to the error in biomass estimates from remote sensing measurements.

Razi Ahmed; Paul Siqueira; Scott Hensley; Kathleen Bergen

2013-01-01T23:59:59.000Z

387

Acoustic Tomography as a Remote Sensing Method to Investigate the Near-Surface Atmospheric Boundary Layer in Comparison with In Situ Measurements  

Science Conference Proceedings (OSTI)

The acoustic tomography method is applied in the atmospheric surface layer to observe near-surface temperature fields. Important advantages of this technique are the remote sensing capacity and the possibility of directly deriving area-average ...

Astrid Ziemann; Klaus Arnold; Armin Raabe

2002-08-01T23:59:59.000Z

388

Integrating Remote Sensing Data with WRF for Improved Simulations of Oasis Effects on Local Weather Processes over an Arid Region in Northwestern China  

Science Conference Proceedings (OSTI)

Land use/cover types derived by satellite remote sensing data from the Earth Observing System Moderate Resolution Imaging Spectroradiometer (MODIS) were used to replace the U.S. Geological Survey (USGS) data in the Weather Research and Forecasting ...

Xiaohang Wen; Shihua Lu; Jiming Jin

2012-04-01T23:59:59.000Z

389

The Motion of a Solid Sphere in an Oscillating Flow: An Evaluation of Remotely Sensed Doppler Velocity Estimates in the Sea  

Science Conference Proceedings (OSTI)

Several popular techniques employed to remotely sense oceanic velocity fields utilize the Doppler shifts of backscattered radiation (such as sound or light) from suspended particles to estimate fluid velocities. Implicit in this use is the ...

David A. Siegel; Albert J. Plueddemann

1991-04-01T23:59:59.000Z

390

Thin Cloud Length Scales Using CALIPSO and CloudSat Data  

E-Print Network (OSTI)

Thin clouds are the most difficult cloud type to observe. The recent availability of joint cloud products from the active remote sensing instruments aboard CloudSat and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite (CALIPSO) facilitates the study of these clouds. Using one of these joint cloud products, 2B-GEOPROF-Lidar, and a post-processing algorithm designed to find horizontally continuous thin clouds within the cloud product, the locations, length scales, and vertical distributions by length of thin clouds are determined. It is found that thin clouds vary in length from a few km to over 2900 km and tend to be longer in the tropical upper troposphere than lower in the atmosphere and at higher latitudes. In the upper troposphere between 0° and 40°N, over 20% of all thin cloud measurements in the 2B-GEOPROF-Lidar product are contributed by thin clouds that are longer than 500 km. In fact, in this latitude range, over 65% of all thin cloud measurements are contributed by clouds longer than 100 km. Also, thin cloud length and frequency differ between the four seasons in the year of data used here.

Solbrig, Jeremy E.

2009-08-01T23:59:59.000Z

391

Remote sensing evaluation of CLM4 GPP for the period 2000 to 2009  

SciTech Connect

The ability of a process-based ecosystem model like Version 4 of the Community Land Model (CLM4) to provide accurate estimates of CO2 flux is a top priority for researchers, modelers and policy makers. Remote sensing can provide long-term and large scale products suitable for ecosystem model evaluation. Global estimations of gross primary production (GPP) at the 1 km spatial resolution from years 2000 to 2009 from the MODIS (Moderate Resolution Imaging Spectroradiometer) sensor offer a unique opportunity for evaluating the temporal and spatial patterns of global GPP and its relationship with climate for CLM4. We compare monthly GPP simulated by CLM4 at half-degree resolution with satellite estimates of GPP from the MODIS GPP (MOD17) dataset for the 10-yr period, January 2000 December 2009. The assessment is presented in terms of long-term mean carbon assimilation, seasonal mean distributions, amplitude and phase of the annual cycle, and intra-annual and inter-annual GPP variability and their responses to climate variables. For the long-term annual and seasonal means, major GPP patterns are clearly demonstrated by both products. Compared to the MODIS product, CLM4 overestimates the magnitude of GPP for tropical evergreen forests. CLM4 has longer carbon uptake period than MODIS for most plant functional types (PFTs) with an earlier onset of GPP in spring and later decline of GPP in autumn. Empirical Orthogonal Function (EOF) analysis of the monthly GPP changes indicates that on the intra-annual scale, both CLM4 and MODIS display similar spatial representations and temporal patterns for most terrestrial ecosystems except in northeast Russia and the very dry region in central Australia. For 2000-2009, CLM4 simulates increases in annual averaged GPP over both hemispheres, however estimates from MODIS suggest a reduction in the Southern Hemisphere (-0.2173 PgC/year) balancing the significant increase over the Northern Hemisphere (0.2157 PgC/year).

Mao, Jiafu [ORNL; Thornton, Peter E [ORNL; Shi, Xiaoying [ORNL; Zhao, Maosheng [ORNL; Post, Wilfred M [ORNL

2012-01-01T23:59:59.000Z

392

U-247: EMC Cloud Tiering Appliance Flaw Lets Remote Users Bypass...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

access on the target system. Solution: The vendor has issued a fix Cloud Tiering Appliance (CTA) 7.5 and 9.0 with Hotfix ESA-2012-034 CTA 7.3.1 and later with Hotfix...

393

Remote Sounding of High Clouds. III: Monte Carlo Calculations of Multiple-Scattered Lidar Returns  

Science Conference Proceedings (OSTI)

Monte Carlo calculations of multiple-scattered contributions to the total energy received in a lidar beam have been made for a representative cirrus ice-cloud scattering phase function. The phase function is varied arbitrarily near the back ...

C. M. R. Platt

1981-01-01T23:59:59.000Z

394

Airborne Scanning Spectrometer for Remote Sensing of Cloud, Aerosol, Water Vapor, and Surface Properties  

Science Conference Proceedings (OSTI)

An airborne scanning spectrometer was developed for measuring reflected solar and emitted thermal radiation in 50 narrowband channels between 0.55 and 14.2 µm. The instrument provides multispectral images of outgoing radiation for purposes of ...

Michael D. King; W. Paul Menzel; Patrick S. Grant; Jeffrey S. Myers; G. Thomas Arnold; Steven E. Platnick; Liam E. Gumley; Si-Chee Tsay; Christopher C. Moeller; Michael Fitzgerald; Kenneth S. Brown; Fred G. Osterwisch

1996-08-01T23:59:59.000Z

395

Improvements in Shortwave Bulk Scattering and Absorption Models for the Remote Sensing of Ice Clouds  

Science Conference Proceedings (OSTI)

This study summarizes recent improvements in the development of bulk scattering/absorption models at solar wavelengths. The approach combines microphysical measurements from various field campaigns with single-scattering properties for nine habits ...

Bryan A. Baum; Ping Yang; Andrew J. Heymsfield; Carl G. Schmitt; Yu Xie; Aaron Bansemer; Yong-Xiang Hu; Zhibo Zhang

2011-05-01T23:59:59.000Z

396

Hydrologic Scales, Cloud Variability, Remote Sensing, and Models: Implications for Forecasting Snowmelt and Streamflow  

Science Conference Proceedings (OSTI)

Accurate prediction of available water supply from snowmelt is needed if the myriad of human, environmental, agricultural, and industrial demands for water are to be satisfied, especially given legislatively imposed conditions on its allocation. ...

James J. Simpson; Michael D. Dettinger; Frank Gehrke; Timothy J. McIntire; Gary L. Hufford

2004-04-01T23:59:59.000Z

397

Hydrologic scales, cloud variability, remote sensing, and models: Implications for forecasting snowmelt and streamflow  

E-Print Network (OSTI)

Energy Regulatory Commission (FERC) licenses (project No. ):CVP, Modesto ID, Turlock ID, Merced ID SWP, CVP FERC,FERC, FERC, FERC, FERC, FERC, FERC, FERC, FERC, U.S. Forest

Simpson, James J; Dettinger, M D; Gehrke, F; McIntire, T J; Hufford, G L

2004-01-01T23:59:59.000Z

398

Remote sensing of cirrus cloud particle size and optical depth using polarimetric sensor measurements  

E-Print Network (OSTI)

M. Cai, 1991: Scattering phase matrices of ice crystals with44 For nonspherical ice crystals, the phase function, P 11 ,hexagonal ice crystals and compared phase-matrix elements

Ou, Szu-cheng C; Liou, K N; Takano, Y; Slonaker, R L

2005-01-01T23:59:59.000Z

399

Hydrologic scales, cloud variability, remote sensing, and models: Implications for forecasting snowmelt and streamflow  

E-Print Network (OSTI)

econ. WEATHER AND FORECASTING Environmental decisions (1993seasonal, and WEATHER AND FORECASTING V OLUME 19 spatialfor details. WEATHER AND FORECASTING V OLUME 19 T ABLE 2.

Simpson, James J; Dettinger, M D; Gehrke, F; McIntire, T J; Hufford, G L

2004-01-01T23:59:59.000Z

400

Scientific Basis and Initial Evaluation of the CLAVR-1 Global Clear/Cloud Classification Algorithm for the Advanced Very High Resolution Radiometer  

Science Conference Proceedings (OSTI)

An algorithm for the remote sensing of global cloud cover using multispectral radiance measurements from the Advanced Very High Resolution Radiometer (AVHRR) on board National Oceanic and Atmospheric Administration (NOAA) polar-orbiting ...

Larry L. Stowe; Paul A. Davis; E. Paul McClain

1999-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Micropulse Lidar Cloud Mask Value-Added Product Technical Report  

Science Conference Proceedings (OSTI)

Lidar backscattered signal is a useful tool for identifying vertical cloud structure in the atmosphere in optically thin clouds. Cloud boundaries derived from lidar signals are a necessary input for popular ARM data products, such as the Active Remote Sensing of Clouds (ARSCL) product. An operational cloud boundary algorithm (Wang and Sassen 2001) has been implemented for use with the ARM Micropulse Lidar (MPL) systems. In addition to retrieving cloud boundaries above 500 m, the value-added product (VAP) named Micropulse Lidar Cloud Mask (MPLCMASK) applies lidar-specific corrections (i.e., range-square, background, deadtime, and overlap) as described in Campbell et al. (2002) to the measured backscattered lidar. Depolarization ratio is computed using the methodology developed by Flynn et al. (2007) for polarization-capable MPL systems. The cloud boundaries output from MPLCMASK will be the primary lidar cloud mask for input to the ARSCL product and will be applied to all MPL systems, including historical data sets.

Sivaraman, C; Comstock, J

2011-07-25T23:59:59.000Z

402

Clouds  

NLE Websites -- All DOE Office Websites (Extended Search)

heated by the sun, produces rising columns of air in which the moisture condenses into tall fleecy white clouds At night, when the sky is clear, the earth cools to give those...

403

Ground-Based Infrared Remote Sensing of Cloud Properties over the Antarctic Plateau. Part I: Cloud-Base Heights  

Science Conference Proceedings (OSTI)

A Fourier-transform interferometer, operated throughout 1992 at South Pole Station, measured downward spectral longwave radiance from 550 to 1500 cm?1 (7–18 ?m) at a resolution of 1 cm?1. Radiance measurements were usually made twice daily, ...

Ashwin Mahesh; Von P. Walden; Stephen G. Warren

2001-07-01T23:59:59.000Z

404

Supercooled Liquid Water Clouds in Utah Winter Mountain Storms: Cloud-seeding Implications of a Remote-Sensing Dataset  

Science Conference Proceedings (OSTI)

A polarization lidar, dual-wavelength microwave radiometer, and radiosonde dataset from 19 winter storms studied over the Tushar Mountains in the 1985 and 1987 Utah?NOAA cooperative weather modification field campaigns are used to characterize ...

Kenneth Sassen; Hongjie Zhao

1993-09-01T23:59:59.000Z

405

The Concept of “Normalized” Distribution to Describe Raindrop Spectra: A Tool for Cloud Physics and Cloud Remote Sensing  

Science Conference Proceedings (OSTI)

The shape of the drop size distribution (DSD) reflects the physics of rain. The DSD is the result of the microphysical processes that transform the condensed water into rain. The question of the DSD is also central in radar meteorology, because ...

Jacques Testud; Stéphane Oury; Robert A. Black; Paul Amayenc; Xiankang Dou

2001-06-01T23:59:59.000Z

406

The Occurrence of Particle Size Distribution Bimodality in Midlatitude Cirrus as Inferred from Ground-Based Remote Sensing Data  

SciTech Connect

To better understand the role of small particles in the microphysical processes and the radiative properties of cirrus, the reliability of historical in-situ data must be understood. Recent studies call into question the validity of that data because of shattering of large crystals on probe and aircraft surfaces thereby artificially amplifying the concentration of crystals smaller than approximately 50 ?m. We contend that the general character of the in-situ measurements must be consistent, in a broad sense, with statistics derived from long-term remote sensing data. To examine this consistency, an algorithm using Doppler radar moments and Raman lidar extinction is developed to retrieve a bimodal particle size distribution and its uncertainty. Using case studies and statistics compiled over one year we show that the existence of high concentrations (> 1 cm-3 ) of small (sub 50 ?m) particles in cirrus are not consistent with any reasonable interpretation of the remote sensing data. We conclude that the high concentrations of small particles found in many aircraft data sets are therefore likely an artifact of the in situ measurement process.

Zhao, Yang; Mace, Gerald G.; Comstock, Jennifer M.

2011-06-01T23:59:59.000Z

407

Cirrus Microphysics and Radiative Transfer: Cloud Field Study on 28 October 1986  

Science Conference Proceedings (OSTI)

Cloud data acquired during the cirrus intensive field operation of FIRE 86 are analyzed for a 75 × 50-km2 cirrus cloud field that passed over Wausau, Wisconsin, during the morning of 28 October 1986. Remote-sensing measurements from the ...

Stefan Kinne; Thomas P. Ackerman; Andrew J. Heymsfield; Francisco P. J. Valero; Kenneth Sassen; James D. Spinhirne

1992-05-01T23:59:59.000Z

408

Uncertainties in Microwave Properties of Frozen Precipitation: Implications for Remote Sensing and Data Assimilation  

Science Conference Proceedings (OSTI)

A combined active/passive modeling system that converts CloudSat observations to simulated microwave brightness temperatures (TB) is used to assess different ice particle models under precipitating conditions. Simulation results indicate that ...

Mark S. Kulie; Ralf Bennartz; Thomas J. Greenwald; Yong Chen; Fuzhong Weng

2010-11-01T23:59:59.000Z

409

Passive Microwave Remote Sensing of Rainfall with SSM/I: Algorithm Development and Implementation  

Science Conference Proceedings (OSTI)

A physically based algorithm sensitive to emission and scattering is used to estimate rainfall using the Special Sensor Microwave/Imager (SSM/I). The algorithm is derived from radiative transfer calculations through an atmospheric cloud model ...

James G. Ferriday; Susan K. Avery

1994-12-01T23:59:59.000Z

410

Results of Year-Round Remotely Sensed Integrated Water Vapor by Ground-Based Microwave Radiometry  

Science Conference Proceedings (OSTI)

Based on two years of measurements with a time resolution of 1 min, some climatological findings on precipitable water vapor (PWV) and cloud liquid water (CLW) in central Europe are given. A weak diurnal cycle is apparent. The mean overall ...

J. Güldner; D. Spänkuch

1999-07-01T23:59:59.000Z

411

Remote Sensing of Atmospheric Water Vapor from Backscattered Sunlight in Cloudy Atmospheres  

Science Conference Proceedings (OSTI)

The “differential absorption technique” is used to derive columnar water vapor contents above clouds. Radiative transfer simulations were carried out for two different spectral channels, one channel within the ???–water water absorption band and ...

P. Albert; R. Bennartz; J. Fischer

2001-06-01T23:59:59.000Z

412

A Remote-Sensing View of a Freezing-Rain Storm  

Science Conference Proceedings (OSTI)

A destructive freezing-rain storm on 15 February 1990 was observed intensively with advanced ground-based remote sensors and conventional instruments by the Lake Ontario Winter Storms (LOWS) project in upstate New York. A deep layer of warm, ...

Brooks E. Martner; Jack B. Snider; Robert J. Zamora; Gregory P. Byrd; Thomas A. Niziol; Paul I. Joe

1993-09-01T23:59:59.000Z

413

Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review  

E-Print Network (OSTI)

Abstract: Site-specific crop management (SSCM) is one facet of precision agriculture which is helping increase production with minimal input. It has enhanced the cost-benefit scenario in crop production. Even though the SSCM is very widely used in row crop agriculture like corn, wheat, rice, soybean, etc. it has very little application in cash crops like fruit and nut. The main goal of this review paper was to conduct a comprehensive review of advanced technologies, including geospatial technologies, used in site-specific management of fruit and nut crops. The review explores various remote sensing data from different platforms like satellite, LIDAR, aerial, and field imaging. The study analyzes the use of satellite sensors, such as Quickbird, Landsat, SPOT, and IRS imagery as well as hyperspectral narrow-band remote sensing data in study of fruit and nut crops in blueberry, citrus, peach, apple, etc. The study also explores other geospatial technologies such as GPS, GIS spatial modeling, advanced image processing techniques, and information technology for suitability study, orchard delineation, and classification accuracy assessment. The study also provides an example of a geospatial model developed in ArcGIS ModelBuilder to automate the blueberry production suitability analysis. The GIS

Sudhanshu Sekhar P; Gerrit Hoogenboom; Joel O. Paz

2010-01-01T23:59:59.000Z

414

Remote Sensing and Sea-Truth Measurements of Methane Flux to the Atmosphere (HYFLUX project)  

Science Conference Proceedings (OSTI)

A multi-disciplinary investigation of distribution and magnitude of methane fluxes from seafloor gas hydrate deposits in the Gulf of Mexico was conducted based on results obtained from satellite synthetic aperture radar (SAR) remote sensing and from sampling conducted during a research expedition to three sites where gas hydrate occurs (MC118, GC600, and GC185). Samples of sediments, water, and air were collected from the ship and from an ROV submersible using sediments cores, niskin bottles attached to the ROV and to a rosette, and an automated sea-air interface collector. The SAR images were used to quantify the magnitude and distribution of natural oil and gas seeps that produced perennial oil slicks on the ocean surface. A total of 176 SAR images were processed using a texture classifying neural network algorithm, which segmented the ocean surface into oil-free and oil-covered water. Geostatistical analysis indicates that there are a total of 1081 seep formations distributed over the entire Gulf of Mexico basin. Oil-covered water comprised an average of 780.0 sq. km (sd 86.03) distributed with an area of 147,370 sq. km. Persistent oil and gas seeps were also detected with SAR sampling on other ocean margins located in the Black Sea, western coast of Africa, and offshore Pakistan. Analysis of sediment cores from all three sites show profiles of sulfate, sulfide, calcium and alkalinity that indicated anaerobic oxidation of methane with precipitation of authigenic carbonates. Difference among the three sampling sites may reflect the relative magnitude of methane flux. Methane concentrations in water column samples collected by ROV and rosette deployments from MC118 ranged from {approx}33,000 nM at the seafloor to {approx}12 nM in the mixed layer with isolated peaks up to {approx}13,670 nM coincident with the top of the gas hydrate stability field. Average plume methane, ethane, and propane concentrations in the mixed layer are 7, 630, and 9,540 times saturation, respectively. Based on the contemporaneous wind speeds at this site, contemporary estimates of the diffusive fluxes from the mixed layer to the atmosphere for methane, ethane, and propane are 26.5, 2.10, and 2.78 {micro}mol/m{sup 2}d, respectively. Continuous measurements of air and sea surface concentrations of methane were made to obtain high spatial and temporal resolution of the diffusive net sea-to-air fluxes. The atmospheric methane fluctuated between 1.70 ppm and 2.40 ppm during the entire cruise except for high concentrations (up to 4.01 ppm) sampled during the end of the occupation of GC600 and the transit between GC600 and GC185. Results from interpolations within the survey areas show the daily methane fluxes to the atmosphere at the three sites range from 0.744 to 300 mol d-1. Considering that the majority of seeps in the GOM are deep (>500 m), elevated CH{sub 4} concentrations in near-surface waters resulting from bubble-mediated CH4 transport in the water column are expected to be widespread in the Gulf of Mexico.

Ian MacDonald

2011-05-31T23:59:59.000Z

415

Cloud displays for mobile users in a display cloud  

Science Conference Proceedings (OSTI)

The display cloud model allows users to select local and remote programmable displays, and add them to a user specific cloud display where the user can arrange them freely. On a cloud display, the abstraction representing remote graphical content is ... Keywords: cloud displays, display clouds, ubiquitous displays

Lars Tiede; John Markus Bjørndalen; Otto J. Anshus

2013-02-01T23:59:59.000Z

416

Remote Sensing of Precipitable Water over the Oceans from Nimbus 7 Microwave Measurements  

Science Conference Proceedings (OSTI)

Nimbus 7 Scanning Multichannel Microwave Radiometer (SMMR) brightness temperature measurements in the 21 and 18 GHz channels are used to sense the precipitable water in the atmosphere over oceans. The difference in the brightness temperature (T21 ...

C. Prabhakara; H. D. Chang; A. T. C. Chang

1982-01-01T23:59:59.000Z

417

Toward Understanding of Differences in Current Cloud Retrievals of ARM Ground-based Measurements  

SciTech Connect

Accurate observations of cloud microphysical properties are needed for evaluating and improving the representation of cloud processes in climate models. However, large differences are found in current cloud products retrieved from ground-based remote sensing measurements using various retrieval algorithms. Understanding the differences is an important step to address uncertainties in the cloud retrievals. In this study, an in-depth analysis of nine existing ground-based cloud retrievals using ARM remote sensing measurements is carried out. We place emphasize on boundary layer overcast clouds and high level ice clouds, which are the focus of many current retrieval development efforts due to their radiative importance and relatively simple structure. Large systematic discrepancies in cloud microphysical properties are found in these two types of clouds among the nine cloud retrieval products, particularly for the cloud liquid and ice effective radius. It is shown that most of these large differences have their roots in the retrieval algorithms used by these cloud products, including the retrieval theoretical bases, assumptions, as well as input and constraint parameters. This study suggests the need to further validate current retrieval theories and assumptions and even the development of new retrieval algorithms with more observations under different cloud regimes.

Zhao, Chuanfeng; Xie, Shaocheng; Klein, Stephen A.; Protat, Alain; Shupe, Matthew D.; McFarlane, Sally A.; Comstock, Jennifer M.; Delanoe, Julien; Deng, Min; Dunn, Maureen; Hogan, Robin; Huang, Dong; Jensen, Michael; Mace, Gerald G.; McCoy, Renata; O'Conner, Ewan J.; Turner, Dave; Wang, Zhien

2012-05-30T23:59:59.000Z

418

2 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 3(1. NO. i. JANLTARY 1992 Remote Sensing of Cloud, Aerosol, and  

E-Print Network (OSTI)

companion instrument MODIS-T (tilt), a tiltable cross-track scanning spectrometer with 32 uniformly spaced (EOS) is well suited to the global monitoring of atmospheric prop- erties from space. In addition channels (250 m), will permit state-of-the-art global monitoring of atmospheric water vapor, aerosol

Christopher, Sundar A.

419

Remote sensing data exploiration for geologic characterization of difficult targets : Laboratory Directed Research and Development project 38703 final report.  

SciTech Connect

Characterizing the geology, geotechnical aspects, and rock properties of deep underground facility sites can enhance targeting strategies for both nuclear and conventional weapons. This report describes the results of a study to investigate the utility of remote spectral sensing for augmenting the geological and geotechnical information provided by traditional methods. The project primarily considered novel exploitation methods for space-based sensors, which allow clandestine collection of data from denied sites. The investigation focused on developing and applying novel data analysis methods to estimate geologic and geotechnical characteristics in the vicinity of deep underground facilities. Two such methods, one for measuring thermal rock properties and one for classifying rock types, were explored in detail. Several other data exploitation techniques, developed under other projects, were also examined for their potential utility in geologic characterization.

Costin, Laurence S.; Walker, Charles A.; Lappin, Allen R.; Hayat, Majeed M. (University of New Mexico, Albuquerque, NM); Ford, Bridget K.; Paskaleva, Biliana (University of New Mexico, Albuquerque, NM); Moya, Mary M.; Mercier, Jeffrey Alan (University of Arizona, Tucson, AZ); Stormont, John C. (University of New Mexico, Albuquerque, NM); Smith, Jody Lynn

2003-09-01T23:59:59.000Z

420

Exploring the relationships between vegetation measurements and temperature in residential areas by integrating LIDAR and remotely sensed imagery  

E-Print Network (OSTI)

Population growth and urban sprawl have contributed to the formation of significant urban heat island phenomena in Houston, Texas, the fourth largest city in the United States. The population growth in Houston was 25.8% between 1990 and 2000 nearly double the national average. The demand for information concerning the effects of urban and suburban development is growing. Houston is currently the only major US city lacking any kind of comprehensive city zoning ordinances. The Normalized Difference Vegetation Index (NDVI) has been used as a surrogate variable to estimate land surface temperatures at higher spatial resolutions, given the fact that a high-resolution remotely sensed NDVI can be created almost effortlessly and remotely sensed thermal data at higher resolutions is much more difficult to obtain. This has allowed researchers to study urban heat island dynamics at a micro-scale. However, this study suggests that a vegetation index alone might not be the best surrogate variable for providing information regarding the independent effects and level of contribution that tree canopy, grass, and low-lying plants have on surface temperatures in residential neighborhoods. This research combines LIDAR (Light Detection and Ranging) feature height data and high-resolution infrared aerial photos to measure the characteristics of the micro-structure of residential areas (residentialstructure), derives various descriptive vegetation measurement statistics, and correlates the spatial distribution of surface temperature to the type and amount of vegetation cover in residential areas. Regression analysis is used to quantify the independent influence that different residential-structures have on surface temperature. In regard to implementing changes at a neighborhood level, the descriptive statistics derived for residential-structure at a micro-scale may provide useful information to decision-makers and may reveal a guide for future developers concerned with mitigating the negative effects of urban heat island phenomena.

Clemonds, Matthew A

2005-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Variability in Springtime Thaw in the Terrestrial High Latitudes: Monitoring a Major Control on the Biospheric Assimilation of Atmospheric CO2 with Spaceborne Microwave Remote Sensing  

Science Conference Proceedings (OSTI)

Evidence is presented from the satellite microwave remote sensing record that the timing of seasonal thawing and subsequent initiation of the growing season in early spring has advanced by approximately 8 days from 1988 to 2001 for the pan-Arctic ...

Kyle C. McDonald; John S. Kimball; Eni Njoku; Reiner Zimmermann; Maosheng Zhao

2004-12-01T23:59:59.000Z

422

Performance Assessment of a New Stationarity-based Parameter Estimation Method with a Simplified Land Surface Model Using In-situ and Remotely Sensed Surface States  

Science Conference Proceedings (OSTI)

We evaluate the performance of a new stationarity-based method for parameter estimation of a simple coupled water and energy balance model using in-situ and remotely sensed surface soil moisture (from AMSR-E) and surface temperature (from a ...

Jian Sun; Guido D. Salvucci

423

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. GE-22, NO. 3, MAY 1984 David R. Thompson received the B.S., M.S.,  

E-Print Network (OSTI)

depth from aerial survey markers, and snow covered area from satellite data to estimate the amount survey and conservation operations. In 1975, he served as USDA remote sensing technical advisor.S. degrees from Colorado State University, Fort Collins, CO, in 1961 and 1963 and the Ph.D. degree from

Dozier, Jeff

424

Wald L., 1999. Some terms of reference in data fusion. IEEE Transactions on Geosciences and Remote Sensing, 37, 3, 1190-SOME TERMS OF REFERENCE IN DATA  

E-Print Network (OSTI)

Wald L., 1999. Some terms of reference in data fusion. IEEE Transactions on Geosciences and Remote Sensing, 37, 3, 1190- 1193. SOME TERMS OF REFERENCE IN DATA FUSION Wald Lucien Abstract--This paper discusses the needs for a concept and harmonized terms of reference in data fusion. Already published

Paris-Sud XI, Université de

425

Working Together for Better Student Learning: A Multi-University, Multi-Federal Partner Program for Asynchronous Learning Module Development for Radar-Based Remote Sensing Systems  

Science Conference Proceedings (OSTI)

Students are not exposed to enough real-life data. This paper describes how a community of scholars seeks to remedy this deficiency and gives the pedagogical details of an ongoing project that commenced in the Fall 2004 semester. Fostering deep learning, ... Keywords: Active learning, Internet, educational modules, radar systems, remote sensing, weather environment

M. B. Yeary; T. Yu; R. D. Palmer; H. Monroy; I. Ruin; G. Zhang; P. B. Chilson; M. I. Biggerstaff; C. Weiss; K. A. Mitchell; L. D. Fink

2010-08-01T23:59:59.000Z

426

Toward understanding of differences in current cloud retrievals of ARM ground-based measurements  

SciTech Connect

Accurate observations of cloud microphysical properties are needed for evaluating and improving the representation of cloud processes in climate models and better estimate of the Earth radiative budget. However, large differences are found in current cloud products retrieved from ground-based remote sensing measurements using various retrieval algorithms. Understanding the differences is an important step to address uncertainties in the cloud retrievals. In this study, an in-depth analysis of nine existing ground-based cloud retrievals using ARM remote sensing measurements is carried out. We place emphasis on boundary layer overcast clouds and high level ice clouds, which are the focus of many current retrieval development efforts due to their radiative importance and relatively simple structure. Large systematic discrepancies in cloud microphysical properties are found in these two types of clouds among the nine cloud retrieval products, particularly for the cloud liquid and ice particle effective radius. Note that the differences among some retrieval products are even larger than the prescribed uncertainties reported by the retrieval algorithm developers. It is shown that most of these large differences have their roots in the retrieval theoretical bases, assumptions, as well as input and constraint parameters. This study suggests the need to further validate current retrieval theories and assumptions and even the development of new retrieval algorithms with more observations under different cloud regimes.

Zhao C.; Dunn M.; Xie, S.; Klein, S. A.; Protat, A.; Shupe, M. D.; McFarlane, S. A.; Comstock, J. M.; Delanoë, J.; Deng, M.; Hogan, R. J.; Huang, D.; Jensen, M. P.; Mace, G. G.; McCoy, R.; O’Connor, E. J.; Turner, D. D.; Wang, Z.

2012-05-30T23:59:59.000Z

427

Electron beam physical vapor deposition of thin ruby films for remote temperature sensing  

SciTech Connect

Thermographic phosphors (TGPs) possessing temperature-dependent photoluminescence properties have a wide range of uses in thermometry due to their remote access and large temperature sensitivity range. However, in most cases, phosphors are synthesized in powder form, which prevents their use in high resolution micro and nanoscale thermal microscopy. In the present study, we investigate the use of electron beam physical vapor deposition to fabricate thin films of chromium-doped aluminum oxide (Cr-Al{sub 2}O{sub 3}, ruby) thermographic phosphors. Although as-deposited films were amorphous and exhibited weak photoluminescence, the films regained the stoichiometry and {alpha}-Al{sub 2}O{sub 3} crystal structure of the combustion synthesized source powder after thermal annealing. As a consequence, the annealed films exhibit both strong photoluminescence and a temperature-dependent lifetime that decreases from 2.9 ms at 298 K to 2.1 ms at 370 K. Ruby films were also deposited on multiple substrates. To ensure a continuous film with smooth surface morphology and strong photoluminescence, we use a sapphire substrate, which is thermal expansion coefficient and lattice matched to the film. These thin ruby films can potentially be used as remote temperature sensors for probing the local temperatures of micro and nanoscale structures.

Li Wei; Coppens, Zachary J.; Greg Walker, D.; Valentine, Jason G. [Department of Mechanical Engineering, Vanderbilt University, Nashville, Tennessee 37212 (United States)

2013-04-28T23:59:59.000Z

428

Assessing Available Woody Plant Biomass on Rangelands with Lidar and Multispectral Remote Sensing  

E-Print Network (OSTI)

The majority of biofuels are produced from corn and grain. The drawback to these sources of biofuels is the vast amount of cultivated land needed to produce substantial amounts of biofuel, potentially increasing the price of food and livestock products. Mesquite trees, a type of woody plant, are a proven source of bioenergy feedstock found on semi-arid lands. The overall objectives of this study were to develop algorithms for determining woody plant biomass on rangelands in Texas at plot-level using terrestrial lidar and at the local scale by integrating reference biomass and multispectral imagery. Terrestrial lidar offers a more efficient method for estimating biomass than traditional field measurements. Variables from the terrestrial lidar point cloud were compared to ground measurements of biomass to find a best fitting regression model. Two processing methods were investigated for analyzing the lidar point cloud data, namely: 1) percentile height statistics and 2) a height bin approach. Regression models were developed for variables obtained through each processing technique for estimating woody plant, above-ground biomass. Regression models were able to explain 81 percent and 77 percent of the variance associated with the aboveground biomass using percentile height statistics and height bins, respectively. The aboveground biomass map was generated by using the cokriging interpolation method with NDVI and ground biomass data. According to cross-validation, ordinary cokriging estimated biomass accurately (R^2 = 0.99). The results of this study revealed that terrestrial lidar can be used to accurately and efficiently estimate the aboveground biomass of mesquite trees in a semi-arid environment at plot level. Moreover, spatial interpolation techniques proved useful in scaling up biomass estimates to local scale.

Ku, Nian-Wei

2011-05-01T23:59:59.000Z

429

Geothermal Exploration In Pilgrim, Alaska- First Results From Remote  

Open Energy Info (EERE)

Pilgrim, Alaska- First Results From Remote Pilgrim, Alaska- First Results From Remote Sensing Studies Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Poster: Geothermal Exploration In Pilgrim, Alaska- First Results From Remote Sensing Studies Details Activities (3) Areas (1) Regions (0) Abstract: In an effort to develop a sustainable alternate energy resource and decrease the dependency on expensive oil in rural Alaska, the Department of Energy and the Alaska Energy Authority have jointly funded an exploration project to investigate the Pilgrim Hot Springs geothermal system in western Alaska. Phase one of the exploration involves a remote sensing based assessment of the geothermal system. We used all available cloud-free summer-time thermal infrared (TIR) images from the Landsat data archive to detect and map the surface thermal anomalies in the study area

430

Using remotely sensed planetary boundary layer variables as estimates of areally averaged heat flux  

SciTech Connect

Homogeneity across the Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) site is an issue of importance to all facets of the Atmospheric Radiation Measurements (ARM) program. The degree to which measurements at the central facility can be used to verify, improve, or develop relationships in radiative flux models that are subsequently used in Global Circulation Models (GCMs), for example, is tied directly to the representativeness of the local measurements at the central facility for the site as a whole. The relative variation of surface energy budget terms over a 350- km X 400km domain such as the SGP CART site can be extremely large. The Planetary Boundary Layer (PBL) develops as a result of energy inputs from widely varying surfaces. The lower atmosphere effectively integrates the local inputs; measurements of PBL structure can potentially be used for estimates of surface heat flux over scales on the order of tens of kilometers. This project is focusing on two PBL quantities that are intimately tied to the surface heat flux: (1) the height of the mixed layer, z, that grows during daytime due to sensible heat flux input from the surface; and (2) the convective velocity scale, normally a scaling parameter defined by the product of the sensible heat flux and z, but in this case defined by coherent structures that connect the surface layer and the capping inversion that defines z.

Coulter, R.L.; Martin, T.J.; Holdridge, D.J.

1995-06-01T23:59:59.000Z

431

Remote sensing of freeze-thaw transitions in Arctic soils using the complex resistivity method  

Science Conference Proceedings (OSTI)

Our ability to monitor freeze - thaw transitions is critical to developing a predictive understanding of biogeochemical transitions and carbon dynamics in high latitude environments. In this study, we conducted laboratory column experiments to explore the potential of the complex resistivity method for monitoring the freeze - thaw transitions of the arctic permafrost soils. Samples for the experiment were collected from the upper active layer of Gelisol soils at the Barrow Environmental Observatory, Barrow Alaska. Freeze - thaw transitions were induced through exposing the soil column to controlled temperature environments at 4 C and -20 C. Complex resistivity and temperature measurements were collected regularly during the freeze - thaw transitions using electrodes and temperature sensors installed along the column. During the experiments, over two orders of magnitude of resistivity variations were observed when the temperature was increased or decreased between -20 C and 0 C. Smaller resistivity variations were also observed during the isothermal thawing or freezing processes that occurred near 0 C. Single frequency electrical phase response and imaginary conductivity at 1 Hz were found to be exclusively related to the unfrozen water in the soil matrix, suggesting that these geophysical 24 attributes can be used as a proxy for the monitoring of the onset and progression of the freeze - thaw transitions. Spectral electrical responses and fitted Cole Cole parameters contained additional information about the freeze - thaw transition affected by the soil grain size distribution. Specifically, a shift of the observed spectral response to lower frequency was observed during isothermal thawing process, which we interpret to be due to sequential thawing, first from fine then to coarse particles within the soil matrix. Our study demonstrates the potential of the complex resistivity method for remote monitoring of freeze - thaw transitions in arctic soils. Although conducted at the laboratory scale, this study provides the foundation for exploring the potential of the complex resistivity signals for monitoring spatiotemporal variations of freeze - thaw transitions over field-relevant scales.

Wu, Yuxin [Lawrence Berkeley National Laboratory (LBNL); Hubbard, Susan S [Lawrence Berkeley National Laboratory (LBNL); Ulrich, Craig [Lawrence Berkeley National Laboratory (LBNL); Wullschleger, Stan D [ORNL

2013-01-01T23:59:59.000Z

432

Molecular Line Absorption in a Scattering Atmosphere. Part II: Application to Remote Sensing in the O2 A band  

Science Conference Proceedings (OSTI)

This paper explores the feasibility of using O2 A-band reflectance spectra in the retrieval of cloud optical and physical properties. Analyses demonstrate that these reflection spectra are sensitive to optical properties of clouds such as optical ...

Andrew K. Heidinger; Graeme L. Stephens

2000-05-01T23:59:59.000Z

433

Mapping Alteration Caused by Hydrocarbon Microseepages in Patrick Draw area Southwest Wyoming Using Image Spectroscopy and Hyperspectral Remote Sensing  

SciTech Connect

Detection of underlying reservoir accumulations using remote sensing techniques had its inception with the identification of macroseeps. However, today we find ourselves relying on the detection of more subtle characteristics associated with petroleum reservoirs, such as microseeps. Microseepages are the result of vertical movement of light hydrocarbons from the reservoir to the surface through networks of fractures, faults, and bedding planes that provide permeable routes within the overlying rock. Microseepages express themselves at the surface in an array of alterations and anomalies, such as chemical or mineralogical changes in overlying soils and sediments. Using NASA's Hyperion hyperspectral imaging sensors, this project has developed spectral and geochemical ground truthing techniques to identify and map alterations caused by hydrocarbon microseepages and to determine their relationships to the underlying geology in the Patrick Draw area of Southwest Wyoming. Training the classification of satellite imagery with spectral inputs of samples collected over previously defined areas of hydrocarbon microseepage resulted in the successful identification of an anomalous zone. Geochemical characteristics of samples that defined this anomalous zone were then compared to the remaining non-anomalous samples using XRD, ICP, spectroscopy and carbon isotope techniques.

Shuhab D. Khan

2008-06-21T23:59:59.000Z

434

Proceedings of the ninth international symposium on remote sensing of environment, 15--19 April 1974. Volume II. [Earth Resources Technology Satellite  

SciTech Connect

Presentations were given on the utilization of remote sensing technology by regional governmental units and by federal governmental agencies, as well as various applications in monitoring and managing the earth's resources and man's global environment. Ground-based, airborne, and spaceborne sensor systems and manual and machine-assisted data analysis and interpretation are included. Separate entries were made for two papers.

1974-01-01T23:59:59.000Z

435

Objective Determination of Cloud Heights and Radar Reflectivities Using a Combination of Active Remote Sensors at the ARM CART Sites  

Science Conference Proceedings (OSTI)

The U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) Program is deploying sensitive, millimeter-wave cloud radars at its Cloud and Radiation Test Bed (CART) sites in Oklahoma, Alaska, and the tropical western Pacific Ocean. The ...

Eugene E. Clothiaux; Thomas P. Ackerman; Gerald G. Mace; Kenneth P. Moran; Roger T. Marchand; Mark A. Miller; Brooks E. Martner

2000-05-01T23:59:59.000Z

436

Automated sparse 3D point cloud generation of infrastructure using its distinctive visual features  

Science Conference Proceedings (OSTI)

The commercial far-range (>10m) spatial data collection methods for acquiring infrastructure's geometric data are not completely automated because of the necessary manual pre- and/or post-processing work. The required amount of human intervention and, ... Keywords: Automatic point matching, Passive remote sensing, SURF features, Sparse point cloud, Spatial data collection, Videogrammetry

Habib Fathi; Ioannis Brilakis

2011-10-01T23:59:59.000Z

437

Geobotanical Remote Sensing Applied to Targeting New Geothermal Resource Locations in the U.S. Basin and Range with a Focus on Dixie Meadows, NV  

DOE Green Energy (OSTI)

This paper presents an overview of the work our collaboration is doing to increase the detailed mapped resource base for geothermal exploration in the Western US. We are imaging several large areas in the western US with high resolution airborne hyperspectral and satellite multispectral sensors. We have now entered the phase where the remote sensing techniques and tools we are developing are mature enough to be combined with other geothermal exploration techniques such as aeromagnetic, seismic, well logging and coring data. The imaging sensors and analysis techniques we have developed have the ability to map visible faults, surface effluents, altered minerals, subtle hidden faults. Large regions are being imaged at reasonable costs. The technique of geobotanical remote sensing for geothermal signatures is based on recent successes in mapping hidden faults, high temperature altered mineralization, clays, hot and cold springs and CO2 effluents the Long Valley Caldera and Mammoth Mountain in California. The areas that have been imaged include Mammoth Mountain and the Long Valley Caldera, Dixie Meadows NV, Fish Lake Valley NV, and Brady Hot Springs. Areas that are being imaged in the summer of 2003 are the south moat of the Long Valley Caldera, Mammoth Mountain western Pickles, Nash, Kasameyer, Foxall, Martini, Cocks, Kennedy-Bowdoin, McKnight, Silver, Potts, flanks, Mono Inyo chain north of Mammoth Mountain in CA, and the Humboldt Block in NV. This paper focuses on presenting the overview of the high-resolution airborne hyperspectral image acquisition that was done at Dixie Meadows NV in August 2002. This new imagery is currently being analyzed and combined with other field data by all of the authors on this paper. Results of their work up until the time of the conference will be presented in papers in the remote sensing session.

Pickles, W. L.; Nash, G. D.; Calvin, W. M.; Martini, B. A.; Cocks, P. A.; Kenedy-Bowdoin, T.; Mac Knight, R. B.; Silver, E. A.; Potts, D. C.; Foxall, W.; Kasameyer, P.; Waibel, A. F.

2003-01-01T23:59:59.000Z

438

Model Calculations of Solar Spectral Irradiance in the 3.7-?m Band for Earth Remote Sensing Applications  

Science Conference Proceedings (OSTI)

Since the launch of the first Advanced Very High Resolution Radiometer (AVHRR) instrument aboard the Television and Infrared Observational Satellite (TIROS-N), measurements in the 3.7-?m atmospheric window have been exploited for use in cloud ...

Steven Platnick; Juan M. Fontenla

2008-01-01T23:59:59.000Z

439

High-Repetition Millimeter-Wave Passive Remote Sensing of Humidity and Hydrometeor Profiles from Elliptical Orbit Constellations  

Science Conference Proceedings (OSTI)

The potential of an elliptical-orbit Flower Constellation of Millimeter-Wave Radiometers (FLORAD) for humidity profile and precipitating cloud observations is analyzed and discussed. The FLORAD mission scientific requirements are aimed at the ...

Frank S. Marzano; Domenico Cimini; Tommaso Rossi; Daniele Mortari; Sabatino Di Michele; Peter Bauer

2010-07-01T23:59:59.000Z

440

Selection of the 1.375-µm MODIS Channel for Remote Sensing of Cirrus Clouds and Stratospheric Aerosols from Space  

Science Conference Proceedings (OSTI)

Using spectral imaging data acquired with the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) from an ER-2 aircraft at 20-km altitude during the NASA FIRE Phase II Cirrus field program, it was found that narrow channels near the center of ...

Bo-Cai Gao; Yoram J. Kaufman

1995-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Error Estimates for Retrieval of Cloud-Top Pressure Using Absorption in the A Band of Oxygen  

Science Conference Proceedings (OSTI)

This paper examines the feasibility of remotely sensing cloud-top pressure from observations of reflected sunlight at frequencies in the A band of absorption of oxygen (13 070 cm?1, 765 nm). The data are assumed to consist of several channels ...

D. M. O'Brien; R. M. Mitchell

1992-10-01T23:59:59.000Z

442

Strategic Environmental Research and Development Project FY 1994: Assessing national remote sensing technologies for use in US Department of Energy Environmental Restoration Activities, Oak Ridge Solid Waste Storage Area 4 case study  

SciTech Connect

During FY 1994, the Oak Ridge Environmental Restoration (ER) Remote Sensing Program teamed with members of the Oak Ridge National Security Program Office (NSPO), the Environmental Research Institute of Michigan (ERIM) under contract to the National Exploitation Laboratory (NEL), the Oak Ridge Waste Area Group 4 (WAG 4) ER Program, and the US Department of Energy (DOE), Offices of Technology Development, Nonproliferation and National Security, and Environmental Restoration, to conduct a test and demonstration of the uses of national remote sensing technologies at DOE hazardous waste sites located in Oak Ridge, Tennessee. Objectives of the Oak Ridge study were to determine if national remote sensing technologies are useful in conducting prescreening, characterization, and/or monitoring activities to expedite the clean-up process at hazardous waste sites and to cut clean-up costs wherever possible. This project was sponsored by the Strategic Environmental Research and Development Project (SERDP).

King, A.L.; Smyre, J.L.; Evers, T.K.

1995-02-01T23:59:59.000Z

443

A Remote Sensing Survey of the Role of Landform on the Organization of Orographic Precipitation in Central and Southern Mexico  

Science Conference Proceedings (OSTI)

Data from NASA’s TRMM satellite and NOAA’s GOES satellites were used to survey the orographic organization of cloud precipitation in central and southern Mexico during the monsoon with two main objectives: 1) to investigate large-scale forcing ...

Jason P. Giovannettone; Ana P. Barros

2008-12-01T23:59:59.000Z

444

The Occurrence of Particle Size Distribution Bimodality in Midlatitude Cirrus as Inferred from Ground-Based Remote Sensing Data  

Science Conference Proceedings (OSTI)

Data collected in midlatitude cirrus clouds by instruments on jet aircraft typically show particle size distributions that have distinct distribution modes in both the 10–30-?m maximum dimension (D) size range and the 200–300-?m D size range or ...

Yang Zhao; Gerald G. Mace; Jennifer M. Comstock

2011-06-01T23:59:59.000Z

445

Pioneering remote sensing in the USSR. 1. Radiation transfer in the optical wavelength region of the electromagnetic spectrum  

Science Conference Proceedings (OSTI)

In this paper a review is presented of the pioneering space research carried out under the leadership of Professor K. Ya. Kondratyev and with his direct participation. Some of his work concerned with radiation transfer in the atmosphere and with remote ...

T. A. Sushkevich

2008-05-01T23:59:59.000Z

446

ARM - Field Campaign - WB57 Midlatitude Cirrus Cloud Experiment...  

NLE Websites -- All DOE Office Websites (Extended Search)

invested considerable effort in characterizing clouds with instruments ranging from passive remote sensors on board the EOS platforms, to active remote sensors on Cloudsat and...

447

Integrating Remote Sensing, Field Observations, and Models to Understand Disturbance and Climate Effects on the Carbon Balance of the West Coast U.S., Final Report  

SciTech Connect

As an element of NACP research, the proposed investigation is a two pronged approach that derives and evaluates a regional carbon (C) budget for Oregon, Washington, and California. Objectives are (1) Use multiple data sources, including AmeriFlux data, inventories, and multispectral remote sensing data to investigate trends in carbon storage and exchanges of CO2 and water with variation in climate and disturbance history; (2) Develop and apply regional modeling that relies on these multiple data sources to reduce uncertainty in spatial estimates of carbon storage and NEP, and relative contributions of terrestrial ecosystems and anthropogenic emissions to atmospheric CO2 in the region; (3) Model terrestrial carbon processes across the region, using the Biome-BGC terrestrial ecosystem model, and an atmospheric inverse modeling approach to estimate variation in rate and timing of terrestrial uptake and feedbacks to the atmosphere in response to climate and disturbance.

Beverly E. Law

2011-10-05T23:59:59.000Z

448

Synthesis of Remote Sensing and Field Observations to Model and Understand Disturbance and Climate Effects on the Carbon Balance of Oregon & Northern California  

SciTech Connect

The goal is to quantify and explain the carbon (C) budget for Oregon and N. California. The research compares "bottom -up" and "top-down" methods, and develops prototype analytical systems for regional analysis of the carbon balance that are potentially applicable to other continental regions, and that can be used to explore climate, disturbance and land-use effects on the carbon cycle. Objectives are: 1) Improve, test and apply a bottom up approach that synthesizes a spatially nested hierarchy of observations (multispectral remote sensing, inventories, flux and extensive sites), and the Biome-BGC model to quantify the C balance across the region; 2) Improve, test and apply a top down approach for regional and global C flux modeling that uses a model-data fusion scheme (MODIS products, AmeriFlux, atmospheric CO2 concentration network), and a boundary layer model to estimate net ecosystem production (NEP) across the region and partition it among GPP, R(a) and R(h). 3) Provide critical understanding of the controls on regional C balance (how NEP and carbon stocks are influenced by disturbance from fire and management, land use, and interannual climate variation). The key science questions are, "What are the magnitudes and distributions of C sources and sinks on seasonal to decadal time scales, and what processes are controlling their dynamics? What are regional spatial and temporal variations of C sources and sinks? What are the errors and uncertainties in the data products and results (i.e., in situ observations, remote sensing, models)?

Beverly Law; David Turner; Warren Cohen; Mathias Goeckede

2008-05-22T23:59:59.000Z

449

A comparison of cloud microphysical quantities with forecasts from cloud prediction models  

SciTech Connect

Numerical weather prediction models (ECMWF, NCEP) are evaluated using ARM observational data collected at the Southern Great Plains (SGP) site. Cloud forecasts generated by the models are compared with cloud microphysical quantities, retrieved using a variety of parameterizations. Information gained from this comparison will be utilized during the FASTER project, as models are evaluated for their ability to reproduce fast physical processes detected in the observations. Here the model performance is quantified against the observations through a statistical analysis. Observations from remote sensing instruments (radar, lidar, radiometer and radiosonde) are used to derive the cloud microphysical quantities: ice water content, liquid water content, ice effective radius and liquid effective radius. Unfortunately, discrepancies in the derived quantities arise when different retrieval schemes are applied to the observations. The uncertainty inherent in retrieving the microphysical quantities using various retrievals is estimated from the range of output microphysical values. ARM microphysical retrieval schemes (Microbase, Mace) are examined along with the CloudNet retrieval processing of data from the ARM sites for this purpose. Through the interfacing of CloudNet and “ARM” processing schemes an ARMNET product is produced and employed as accepted observations in the assessment of cloud model predictions.

Dunn, M.; Jensen, M.; Hogan, R.; O’Connor, E.; Huang, D.

2010-03-15T23:59:59.000Z

450

Cloud Condensation Nuclei Profile Value-Added Product  

SciTech Connect

The cloud condensation nuclei (CCN) concentration at cloud base is the most relevant measure of the aerosol that influences droplet formation in clouds. Since the CCN concentration depends on supersaturation, a more general measure of the CCN concentration is the CCN spectrum (values at multiple supersaturations). The CCN spectrum is now measured at the surface at several fixed ARM sites and by the ARM Mobile Facility (AMF), but is not measured at the cloud base. Rather than rely on expensive aircraft measurements for all studies of aerosol effects on clouds, a way to project CCN measurements at the surface to cloud base is needed. Remote sensing of aerosol extinction provides information about the vertical profile of the aerosol, but cannot be directly related to the CCN concentration because the aerosol extinction is strongly influenced by humidification, particularly near cloud base. Ghan and Collins (2004) and Ghan et al. (2006) propose a method to remove the influence of humidification from the extinction profiles and tie the “dry extinction” retrieval to the surface CCN concentration, thus estimating the CCN profile. This methodology has been implemented as the CCN Profile (CCNPROF) value-added product (VAP).

McFarlane, S; Sivaraman, C; Ghan, S

2012-10-08T23:59:59.000Z

451

Parameterizing Size Distribution in Ice Clouds  

SciTech Connect

PARAMETERIZING SIZE DISTRIBUTIONS IN ICE CLOUDS David L. Mitchell and Daniel H. DeSlover ABSTRACT An outstanding problem that contributes considerable uncertainty to Global Climate Model (GCM) predictions of future climate is the characterization of ice particle sizes in cirrus clouds. Recent parameterizations of ice cloud effective diameter differ by a factor of three, which, for overcast conditions, often translate to changes in outgoing longwave radiation (OLR) of 55 W m-2 or more. Much of this uncertainty in cirrus particle sizes is related to the problem of ice particle shattering during in situ sampling of the ice particle size distribution (PSD). Ice particles often shatter into many smaller ice fragments upon collision with the rim of the probe inlet tube. These small ice artifacts are counted as real ice crystals, resulting in anomalously high concentrations of small ice crystals (D < 100 µm) and underestimates of the mean and effective size of the PSD. Half of the cirrus cloud optical depth calculated from these in situ measurements can be due to this shattering phenomenon. Another challenge is the determination of ice and liquid water amounts in mixed phase clouds. Mixed phase clouds in the Arctic contain mostly liquid water, and the presence of ice is important for determining their lifecycle. Colder high clouds between -20 and -36 oC may also be mixed phase but in this case their condensate is mostly ice with low levels of liquid water. Rather than affecting their lifecycle, the presence of liquid dramatically affects the cloud optical properties, which affects cloud-climate feedback processes in GCMs. This project has made advancements in solving both of these problems. Regarding the first problem, PSD in ice clouds are uncertain due to the inability to reliably measure the concentrations of the smallest crystals (D < 100 µm), known as the “small mode”. Rather than using in situ probe measurements aboard aircraft, we employed a treatment of ice cloud optical properties formulated in terms of PSD parameters in combination with remote measurements of thermal radiances to characterize the small mode. This is possible since the absorption efficiency (Qabs) of small mode crystals is larger at 12 µm wavelength relative to 11 µm wavelength due to the process of wave resonance or photon tunneling more active at 12 µm. This makes the 12/11 µm absorption optical depth ratio (or equivalently the 12/11 µm Qabs ratio) a means for detecting the relative concentration of small ice particles in cirrus. Using this principle, this project tested and developed PSD schemes that can help characterize cirrus clouds at each of the three ARM sites: SGP, NSA and TWP. This was the main effort of this project. These PSD schemes and ice sedimentation velocities predicted from them have been used to test the new cirrus microphysics parameterization in the GCM known as the Community Climate Systems Model (CCSM) as part of an ongoing collaboration with NCAR. Regarding the second problem, we developed and did preliminary testing on a passive thermal method for retrieving the total water path (TWP) of Arctic mixed phase clouds where TWPs are often in the range of 20 to 130 g m-2 (difficult for microwave radiometers to accurately measure). We also developed a new radar method for retrieving the cloud ice water content (IWC), which can be vertically integrated to yield the ice water path (IWP). These techniques were combined to determine the IWP and liquid water path (LWP) in Arctic clouds, and hence the fraction of ice and liquid water. We have tested this approach using a case study from the ARM field campaign called M-PACE (Mixed-Phase Arctic Cloud Experiment). This research led to a new satellite remote sensing method that appears promising for detecting low levels of liquid water in high clouds typically between -20 and -36 oC. We hope to develop this method in future research.

DeSlover, Daniel; Mitchell, David L.

2009-09-25T23:59:59.000Z

452

A New Approach for Estimating Entrainment Rate in Cumulus Clouds  

SciTech Connect

A new approach is presented to estimate entrainment rate in cumulus clouds. The new approach is directly derived from the definition of fractional entrainment rate and relates it to mixing fraction and the height above cloud base. The results derived from the new approach compare favorably with those obtained with a commonly used approach, and have smaller uncertainty. This new approach has several advantages: it eliminates the need for in-cloud measurements of temperature and water vapor content, which are often problematic in current aircraft observations; it has the potential for straightforwardly connecting the estimation of entrainment rate and the microphysical effects of entrainment-mixing processes; it also has the potential for developing a remote sensing technique to infer entrainment rate.

Lu C.; Liu, Y.; Yum, S. S.; Niu, S.; Endo, S.

2012-02-16T23:59:59.000Z

453

Computation of Domain-Averaged Irradiance with a Simple Two-Stream Radiative Transfer Model Including Vertical Cloud Property Correlations  

NLE Websites -- All DOE Office Websites (Extended Search)

Computation of Domain-Averaged Irradiance Computation of Domain-Averaged Irradiance with a Simple Two-Stream Radiative Transfer Model Including Vertical Cloud Property Correlations S. Kato Center for Atmospheric Sciences Hampton University Hampton, Virginia Introduction Recent development of remote sensing instruments by Atmospheric Radiation Measurement (ARM?) Program provides information of spatial and temporal variability of cloud structures. However it is not clear what cloud properties are required to express complicated cloud fields in a realistic way and how to use them in a relatively simple one-dimensional (1D) radiative transfer model to compute the domain averaged irradiance. To address this issue, a simple shortwave radiative transfer model that can treat the vertical cloud optical property correlation is developed. The model is based on the gamma-weighted

454

Cloud properties derived from two lidars over the ARM SGP site  

Science Conference Proceedings (OSTI)

[1] Active remote sensors such as lidars or radars can be used with other data to quantify the cloud properties at regional scale and at global scale (Dupont et al., 2009). Relative to radar, lidar remote sensing is sensitive to very thin and high clouds but has a significant limitation due to signal attenuation in the ability to precisely quantify the properties of clouds with a 20 cloud optical thickness larger than 3. In this study, 10-years of backscatter lidar signal data are analysed by a unique algorithm called STRucture of ATmosphere (STRAT, Morille et al., 2007). We apply the STRAT algorithm to data from both the collocated Micropulse lidar (MPL) and a Raman lidar (RL) at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site between 1998 and 2009. Raw backscatter lidar signal is processed and 25 corrections for detector deadtime, afterpulse, and overlap are applied. (Campbell et al.) The cloud properties for all levels of clouds are derived and distributions of cloud base height (CBH), top height (CTH), physical cloud thickness (CT), and optical thickness (COT) from local statistics are compared. The goal of this study is (1) to establish a climatology of macrophysical and optical properties for all levels of clouds observed over the ARM SGP site 30 and (2) to estimate the discrepancies induced by the two remote sensing systems (pulse energy, sampling, resolution, etc.). Our first results tend to show that the MPLs, which are the primary ARM lidars, have a distinctly limited range where all of these cloud properties are detectable, especially cloud top and cloud thickness, but even actual cloud base especially during summer daytime period. According to the comparisons between RL and MPL, almost 50% of situations show a signal to noise ratio too low (smaller than 3) for the MPL in order to detect clouds higher than 7km during daytime period in summer. Consequently, the MPLderived annual cycle of cirrus cloud base (top) altitude is biased low, especially for daylight periods, compared with those derived from the RL data, which detects 5 cloud base ranging from 7.5 km in winter to 9.5 km in summer (and tops ranging from 8.6 to 10.5 km). The optically thickest cirrus clouds (COT>0.3) reach 50% of the total population for the Raman lidar and only 20% for the Micropulse lidar due to the difference of pulse energy and the effect of solar irradiance contamination. A complementary study using the cloud fraction 10 derived from the Micropulse lidar for clouds below 5 km and from the Raman lidar for cloud above 5 km allows for better estimation of the total cloud fraction between the ground and the top of the atmosphere. This study presents the diurnal cycle of cloud fraction for each season in comparisons with the Long et al. (2006) cloud fraction calculation derived from radiative flux analysis.

Dupont, Jean-Charles; Haeffelin, Martial; Morille, Y.; Comstock, Jennifer M.; Flynn, Connor J.; Long, Charles N.; Sivaraman, Chitra; Newsom, Rob K.

2011-02-16T23:59:59.000Z

455

Unattended Radiation Sensor Systems for Remote Terrestrial Applications and Nuclear Nonproliferation  

Science Conference Proceedings (OSTI)

The design of instrumentation for remote sensing presents special requirements in the areas of power consumption

Lodewijk van den Berg; Alan E. Proctor; Ken R. Pohl; Alex Bolozdynya; Raymond De Vito

2002-01-01T23:59:59.000Z

456

Observed and Simulated Cirrus Cloud Properties at the SGP CART Site  

NLE Websites -- All DOE Office Websites (Extended Search)

and Simulated Cirrus Cloud Properties and Simulated Cirrus Cloud Properties at the SGP CART Site A. D. Del Genio and A. B. Wolf National Aeronautics and Space Administration Goddard Institute for Space Studies New York, New York G. G. Mace University of Utah Salt Lake City, Utah Introduction Despite their potential importance in a long-term climate change, less is known about cirrus clouds than most other cloud types, for a variety of reasons (Del Genio 2001) including: (1) the difficulty of remotely sensing ice water content (IWC), (2) uncertainty in the identities of ice nuclei and the relative importance of different nucleation processes, (3) significant variations in depth and optical thickness caused by formation and sedimentation of large particles, and (4) our relatively poor documentation of

457

Analysis of Cloud Variability and Sampling Errors in Surface and Satellite Mesurements  

NLE Websites -- All DOE Office Websites (Extended Search)

Analysis of Cloud Variability and Sampling Errors in Analysis of Cloud Variability and Sampling Errors in Surface and Satellite Measurements Z. Li, M. C. Cribb, and F.-L. Chang Earth System Science Interdisciplinary Center University of Maryland College Park, Maryland A. P. Trishchenko and Y. Luo Canada Centre for Remote Sensing Ottawa, Ontario, Canada Introduction Radiation measurements have been widely employed for evaluating cloud parameterization schemes and model simulation results. As the most comprehensive program aiming to improve cloud parameteri- zation schemes, the Atmospheric Radiation Measurement (ARM) Program has an essential goal to make observations on the scale of a general circulation model gridbox, so as to define the physics underlying some of the important parameterizations in the general circulation models used in climate change

458

Mission to planet Earth: Role of clouds and radiation in climate  

SciTech Connect

The role of clouds in modifying the earth`s radiation balance is well recognized as a key uncertainty in predicting any potential future climate change. This statement is true whether the climate change of interest is caused by changing emissions of greenhouse gases and sulfates, deforestation, ozone depletion, volcanic eruptions, or changes in the solar constant. This paper presents and overview of the role of the National Aeronautics and Space Administration`s Earth Observing System (EOR) satellite data in understanding the role of clouds in the global climate system. The paper gives a brief summary of the cloud/radiation problem, and discusses the critical observations needed to support further investigation. The planned EOS data products are summarized, including the critical advances over current satellite cloud and radiation budget data. Key advances include simultaneous observation on cloud particle size and phase, improved detection of thin clouds and multilayer cloud systems, greatly reduced ambiguity in partially cloud-filled satellite fields of view, improved calibration and stability of satellite-observed radiances, and improved estimates of radiative fluxes at the top of the atmosphere, at the surface, and at levels within the atmosphere. outstanding sampling and remote sensing issues that effect data quality are also discussed. Finally, the EOS data are placed in the context of other satellite observations as well as the critical surface, field experiment and laboratory data needed to address the role in clouds on the climate system. I is concluded that the EOS data are a necessary but insufficient condition for solution of the scientific cloud/radiation issues. A balanced approach of satellite, field, and laboratory data will be required. These combined data can span the necessary spatial scales of global, regional, cloud cell and cloud particle physics. 137 refs., 12 fig., 4 tab.

Wielicki, B.A.; Harrison, E.F. [NASA Langley Research Center, Hampton, VA (United States)] [and others

1995-11-01T23:59:59.000Z

459

Development and Testing of a Life Cycle Model and a Parameterization of Thin Mid-level Stratiform Clouds  

SciTech Connect

We used a cloud-resolving model (a detailed computer model of cloud systems) to evaluate and improve the representation of clouds in global atmospheric models used for numerical weather prediction and climate modeling. We also used observations of the atmospheric state, including clouds, made at DOE's Atmospheric Radiation Measurement (ARM) Program's Climate Research Facility located in the Southern Great Plains (Kansas and Oklahoma) during Intensive Observation Periods to evaluate our detailed computer model as well as a single-column version of a global atmospheric model used for numerical weather prediction (the Global Forecast System of the NOAA National Centers for Environmental Prediction). This so-called Single-Column Modeling approach has proved to be a very effective method for testing the representation of clouds in global atmospheric models. The method relies on detailed observations of the atmospheric state, including clouds, in an atmospheric column comparable in size to a grid column used in a global atmospheric model. The required observations are made by a combination of in situ and remote sensing instruments. One of the greatest problems facing mankind at the present is climate change. Part of the problem is our limited ability to predict the regional patterns of climate change. In order to increase this ability, uncertainties in climate models must be reduced. One of the greatest of these uncertainties is the representation of clouds and cloud processes. This project, and ARM taken as a whole, has helped to improve the representation of clouds in global atmospheric models.

Krueger, Steven K.

2008-03-03T23:59:59.000Z

460

The CloudBrowser web application framework  

Science Conference Proceedings (OSTI)

CloudBrowser is a web application framework that supports the development of rich Internet applications whose entire user interface and application logic resides on the server, while all client/server communication is provided by the framework. CloudBrowser ... Keywords: ajax, cloud applications, paas, remote display, server-centric, web application framework

Brian McDaniel; Godmar Back

2012-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "remote cloud sensing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Cloud computing : implications for enterprise software vendors (ESV)  

E-Print Network (OSTI)

'Cloud computing', is a broad concept and in general is a term used for internet-based computing resources that are in an unspecified remote location or locations and that are flexible and fungible. Clouds provide a wide ...

Francis, Leonard, S.M. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

462

Clouds Height and Aerosol Dynamic Monitoring by Micro Pulse Backscattering Eye-safe Lidar  

E-Print Network (OSTI)

Real-time, clouds height monitoring, attenuation length measurement and remote atmospheric homogeneity sensing by micro pulse Lidar (MPL) is proposed for use together with UV-laser slant-path extinction measurements in the Pierre Auger experiment. The goal of the research reported here is to determine the feasibility of such a sensor for quatitative measurements during an experiment in autonomous mode regardless of weather. Preliminary results of an atmosphere sensing at the Pierre Auger site in Nov.1998 by micro pulse Lidar are presented and discussed. 1 Introduction The long term measurements of the atmospheric turbidity, meteovisibility, haze optical thickness and cloud base height are very important for the surface radiation budget and for climate modeling in general. These data are necessary both, for scientic use, as in the detection of extremely high energy cosmic rays by the uorescence technique [1], and for applied environmental monitoring, as in air trac control for...

Pershin And Lyash

1999-01-01T23:59:59.000Z

463

IC cloud: Enabling compositional cloud  

Science Conference Proceedings (OSTI)

Cloud computing has attracted great interest from both academic and industrial communities. Different paradigms, architectures and applications based on the concept of cloud have emerged. Although many of them have been quite successful, efforts are ... Keywords: Cloud computing, cloud elasticity, cloud service, compositional cloud, infrastructure as a service (IaaS)

Yi-Ke Guo; Li Guo

2011-08-01T23:59:59.000Z

464

Ice Formation in Arctic Mixed-Phase Clouds: Insights from a 3-D Cloud-Resolving Model with Size-Resolved Aerosol and Cloud Microphysics  

SciTech Connect

The single-layer mixed-phase clouds observed during the Atmospheric Radiation Measurement (ARM) program’s Mixed-Phase Arctic Cloud Experiment (MPACE) are simulated with a 3-dimensional cloud-resolving model the System for Atmospheric Modeling (SAM) coupled with an explicit bin microphysics scheme and a radar-lidar simulator. Two possible ice enhancement mechanisms – activation of droplet evaporation residues by condensation-followed-by-freezing and droplet freezing by contact freezing inside-out, are scrutinized by extensive comparisons with aircraft and radar and lidar measurements. The locations of ice initiation associated with each mechanism and the role of ice nuclei (IN) in the evolution of mixed-phase clouds are mainly addressed. Simulations with either mechanism agree well with the in-situ and remote sensing measurements on ice microphysical properties but liquid water content is slightly underpredicted. These two mechanisms give very similar cloud microphysical, macrophysical, dynamical, and radiative properties, although the ice nucleation properties (rate, frequency and location) are completely different. Ice nucleation from activation of evaporation nuclei is most efficient near cloud top areas concentrated on the edges of updrafts, while ice initiation from the drop freezing process has no significant location preference (occurs anywhere that droplet evaporation is significant). Both enhanced nucleation mechanisms contribute dramatically to ice formation with ice particle concentration of 10-15 times higher relative to the simulation without either of them. The contribution of ice nuclei (IN) recycling from ice particle evaporation to IN and ice particle concentration is found to be very significant in this case. Cloud can be very sensitive to IN initially and form a nonquilibrium transition condition, but become much less sensitive as cloud evolves to a steady mixed-phase condition. The parameterization of Meyers et al. [1992] with the observed MPACE IN concentration is able to predict the observed mixed-phase clouds reasonably well. This validation may facilitate the application of this parameterization in the cloud and climate models to simulate Arctic clouds.

Fan, Jiwen; Ovtchinnikov, Mikhail; Comstock, Jennifer M.; McFarlane, Sally A.; Khain, Alexander

2009-02-27T23:59:59.000Z

465

TWP-ICE Data from the GEWEX Cloud System Study: Data Integration for Model Evaluation (GCSSDIME)  

DOE Data Explorer (OSTI)

One of the most complete data sets of tropical cirrus and convection observations resulted from the Tropical Warm Pool - International Cloud Experiment (TWP-ICE) in the area around Darwin, Australia. The aim of the experiment is to examine convective cloud systems from their initial stages through the decaying and thin high level cirrus and measure their impact on the environment. The experiment design includes an unprecedented array of soundings and other information to support cloud resolving and other modeling studies as well as a large range of in-situ and remotely sensed observation platforms. A key component of the field campaign is a fleet of aircraft including the Dornier, Dimona, Egrett, Twin Otter, and Proteus. Together, these aircraft collected measurements of cloud properties and the meteorological environment from the planetary boundary layer up to 15 km high. The extensive ground network of cloud sensing radar, lidar and passive instruments are located on a ship and several ground sites throughout the experimental domain. This case study presents data from 19 Jan 2006 to 28 Feb 2006 and covers a region from 25S to 10S latitude and from 125E to 140E longitude.[Copied from http://gcss-dime.giss.nasa.gov/twp-ice/twp-ice.html

466

Improvements in Representations of Cloud Microphysics for BBHRP and Models using Data Collected during M-PACE and TWP-ICE  

SciTech Connect

In our research we proposed to use data collected during the 2004 Mixed-Phase Arctic Cloud Experiment (MPACE) and the 2006 Tropical Warm Pool International Cloud Experiment (TWP-ICE) to improve retrievals of ice and mixed-phase clouds, to improve our understanding of how cloud and radiative processes affect cloud life cycles, and to develop and test methods for using ARM data more effectively in model. In particular, we proposed to: 1) use MPACE in-situ data to determine how liquid water fraction and cloud ice and liquid effective radius (r{sub ei} and r{sub ew}) vary with temperature, normalized cloud altitude and other variables for Arctic mixed-phase clouds, and to use these data to evaluate the performance of model parameterization schemes and remote sensing retrieval algorithms; 2) calculate rei and size/shape distributions using TWP-ICE in-situ data, investigate their dependence on cirrus type (oceanic or continental anvils or cirrus not directly traced to convection), and develop and test representations for MICROBASE; 3) conduct fundamental research enhancing our understanding of cloud/radiative interactions, concentrating on effects of small crystals and particle shapes and sizes on radiation; and 4) improve representations of microphysical processes for models (fall-out, effective density, mean scattering properties, rei and rew) and provide them to ARM PIs. In the course of our research, we made substantial progress on all four goals.

Greg M. McFarquhar

2010-02-22T23:59:59.000Z

467

Investigating impacts of natural and human-induced environmental changes on hydrological processes and flood hazards using a GIS-based hydrological/hydraulic model and remote sensing data  

E-Print Network (OSTI)

Natural and human-induced environmental changes have been altering the earth's surface and hydrological processes, and thus directly contribute to the severity of flood hazards. To understand these changes and their impacts, this research developed a GISbased hydrological and hydraulic modeling system, which incorporates state-of-the-art remote sensing data to simulate flood under various scenarios. The conceptual framework and technical issues of incorporating multi-scale remote sensing data have been addressed. This research develops an object-oriented hydrological modeling framework. Compared with traditional lumped or cell-based distributed hydrological modeling frameworks, the object-oriented framework allows basic spatial hydrologic units to have various size and irregular shape. This framework is capable of assimilating various GIS and remotely-sensed data with different spatial resolutions. It ensures the computational efficiency, while preserving sufficient spatial details of input data and model outputs. Sensitivity analysis and comparison of high resolution LIDAR DEM with traditional USGS 30m resolution DEM suggests that the use of LIDAR DEMs can greatly reduce uncertainty in calibration of flow parameters in the hydrologic model and hence increase the reliability of modeling results. In addition, subtle topographic features and hydrologic objects like surface depressions and detention basins can be extracted from the high resolution LiDAR DEMs. An innovative algorithm has been developed to efficiently delineate surface depressions and detention basins from LiDAR DEMs. Using a time series of Landsat images, a retrospective analysis of surface imperviousness has been conducted to assess the hydrologic impact of urbanization. The analysis reveals that with rapid urbanization the impervious surface has been increased from 10.1% to 38.4% for the case study area during 1974 - 2002. As a result, the peak flow for a 100-year flood event has increased by 20% and the floodplain extent has expanded by about 21.6%. The quantitative analysis suggests that the large regional detentions basins have effectively offset the adverse effect of increased impervious surface during the urbanization process. Based on the simulation and scenario analyses of land subsidence and potential climate changes, some planning measures and policy implications have been derived for guiding smart urban growth and sustainable resource development and management to minimize flood hazards.

Wang, Lei

2006-08-01T23:59:59.000Z

468

Midlatitude Continental Convective Clouds Experiment (MC3E)  

SciTech Connect

Convective processes play a critical role in the Earth’s energy balance through the redistribution of heat and moisture in the atmosphere and subsequent impacts on the hydrologic cycle. Global observation and accurate representation of these processes in numerical models is vital to improving our current understanding and future simulations of Earth’s climate system. Despite improvements in computing power, current operational weather and global climate models are unable to resolve the natural temporal and spatial scales that are associated with convective and stratiform precipitation processes; therefore, they must turn to parameterization schemes to represent these processes. In turn, the physical basis for these parameterization schemes needs to be evaluated for general application under a variety of atmospheric conditions. Analogously, space-based remote sensing algorithms designed to retrieve related cloud and precipitation information for use in hydrological, climate, and numerical weather prediction applications often rely on physical “parameterizations” that reliably translate indirectly related instrument measurements to the physical quantity of interest (e.g., precipitation rate). Importantly, both spaceborne retrieval algorithms and model convective parameterization schemes traditionally rely on field campaign data sets as a basis for evaluating and improving the physics of their respective approaches. The Midlatitude Continental Convective Clouds Experiment (MC3E) will take place in central Oklahoma during the April–May 2011 period. The experiment is a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration’s (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The field campaign leverages the unprecedented observing infrastructure currently available in the central United States, combined with an extensive sounding array, remote sensing and in situ aircraft observations, NASA GPM ground validation remote sensors, and new ARM instrumentation purchased with American Recovery and Reinvestment Act funding. The overarching goal is to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that have never before been available. Several different components of convective cloud and precipitation processes tangible to both the convective parameterization and precipitation retrieval algorithm problem are targeted, such as preconvective environment and convective initiation, updraft/downdraft dynamics, condensate transport and detrainment, precipitation and cloud microphysics, spatial and temporal variability of precipitation, influence on the environment and radiation, and a detailed description of the large-scale forcing.

Jensen, MP; Petersen, WA; Del Genio, AD; Giangrande, SE; Heymsfield, A; Heymsfield, G; Hou, AY; Kollias, P; Orr, B; Rutledge, SA; Schwaller, MR; Zipser, E

2010-04-01T23:59:59.000Z

469

Lidar Investigation of Tropical Nocturnal Boundary Layer Aerosols and Cloud Macrophysics  

SciTech Connect

Observational evidence of two-way association between nocturnal boundary layer aerosols and cloud macrophysical properties under different meteorological conditions is reported in this paper. The study has been conducted during 2008-09 employing a high space-time resolution polarimetric micro-pulse lidar over a tropical urban station in India. Firstly, the study highlights the crucial role of boundary layer aerosols and background meteorology on the formation and structure of low-level stratiform clouds in the backdrop of different atmospheric stability conditions. Turbulent mixing induced by the wind shear at the station, which is associated with a complex terrain, is found to play a pivotal role in the formation and structural evolution of nocturnal boundary layer clouds. Secondly, it is shown that the trapping of energy in the form of outgoing terrestrial radiation by the overlying low-level clouds can enhance the aerosol mixing height associated with the nocturnal boundary layer. To substantiate this, the long-wave heating associated with cloud capping has been quantitatively estimated in an indirect way by employing an Advanced Research Weather Research and Forecasting (WRF-ARW) model version 2.2 developed by National Center for Atmospheric Research (NCAR), Colorado, USA, and supplementary data sets; and differentiated against other heating mechanisms. The present investigation as well establishes the potential of lidar remote-sensing technique in exploring some of the intriguing aspects of the cloud-environment relationship.

Manoj, M. G.; Devara, PC S.; Taraphdar, Sourav

2013-10-01T23:59:59.000Z

470

Ground-Based Remote Retrievals of Cumulus Entrainment Rates  

Science Conference Proceedings (OSTI)

While fractional entrainment rates for cumulus clouds have typically been derived from airborne observations, this limits the size and scope of available data sets. To increase the number of continental cumulus entrainment rate observations available for study, an algorithm for retrieving them from ground-based remote sensing observations has been developed. This algorithm, called the Entrainment Rate In Cumulus Algorithm (ERICA), uses the suite of instruments at the Southern Great Plains (SGP) site of the United States Department of Energy's Atmospheric Radiation Measurement (ARM) Climate Research Facility as inputs into a Gauss-Newton optimal estimation scheme, in which an assumed guess of the entrainment rate is iteratively adjusted through intercomparison of modeled liquid water path and cloud droplet effective radius to their observed counterparts. The forward model in this algorithm is the Explicit Mixing Parcel Model (EMPM), a cloud parcel model that treats entrainment as a series of discrete entrainment events. A quantified value for measurement uncertainty is also returned as part of the retrieval. Sensitivity testing and information content analysis demonstrate the robust nature of this method for retrieving accurate observations of the entrainment rate without the drawbacks of airborne sampling. Results from a test of ERICA on three months of shallow cumulus cloud events show significant variability of the entrainment rate of clouds in a single day and from one day to the next. The mean value of 1.06 km-¹ for the entrainment rate in this dataset corresponds well with prior observations and simulations of the entrainment rate in cumulus clouds.

Wagner, Timothy J.; Turner, David D.; Berg, Larry K.; Krueger, Steven K.

2013-07-26T23:59:59.000Z

471

Tropospheric Influence on Solar Ultraviolet Radiation: The Role of Clouds  

Science Conference Proceedings (OSTI)

Measurements obtained from several Robertson-Berger (RB) meters over the course of one year define the role of cloud cover in moderating biologically effective ultraviolet radiation at the Earth's surface. In an annual mean sense, clouds reduce ...

John E. Frederick; Hilary E. Snell

1990-03-01T23:59:59.000Z

472

Posters Brightness Fields of Broken Clouds V. E. Zuev, G. A. Titov, E. I. Kasyanov, and D. A. Zimin  

NLE Websites -- All DOE Office Websites (Extended Search)

1 1 Posters Brightness Fields of Broken Clouds V. E. Zuev, G. A. Titov, E. I. Kasyanov, and D. A. Zimin Institute of Atmospheric Optics, Siberian Branch Russian Academy of Sciences Tomsk, Russia Introduction The radiation budget and brightness field of the system "atmosphere-underlying surface" are controlled, to a considerable degree, by the variety of forms and the strong space-time variability of cloud cover. The space and angle structure of the radiation fields of cloudy atmosphere together with their sensitivity to cloud variations provide an important source of information needed to formulate and solve problems of the remote optical sensing of cloudy atmosphere (e.g., King 1987; Yi et al. 1990) and of satellite meteorology, as well as for retrievals of the albedo from

473

Remote sensor improves methane leakage surveys  

SciTech Connect

The remote sensing methane detector (RSMD) described in this paper is the result of a twelve year cooperative research program sponsored by the Columbia Gas System Service Corp., Environmental Research and Technology, Inc. and the Gas Research Institute. It is a hand-held, rechargeable battery-powered sensor that operates eight hours on one charge with a sensitivity very specific to methane. It can be scanned along the right of way to detect any methane in its path, up to at least 50 feet away. The RSMD is methane specific in that it only sense methane with minor sensitivity to ethane. This makes it particularly useful in industrial areas where present instruments are confused by solvents. It cannot be poisoned by silicones or leaded gasoline, since it is an optical system. When a cloud of methane has been detected by the RSMD, a sample cell attachment can be used to determine methane concentration in parts per million. A low power microcomputer is used in the RSMD to control its operation.

Eberle, A.C.; Kebabian, P.L.; Kruse, J.R.

1984-12-01T23:59:59.000Z

474

Radiation Parameterization for Three-Dimensional Inhomogeneous Cirrus Clouds Applied to ARM Data and Climate Models  

DOE Green Energy (OSTI)

OAK-B135 (a) We developed a 3D radiative transfer model to simulate the transfer of solar and thermal infrared radiation in inhomogeneous cirrus clouds. The model utilized a diffusion approximation approach (four-term expansion in the intensity) employing Cartesian coordinates. The required single-scattering parameters, including the extinction coefficient, single-scattering albedo, and asymmetry factor, for input to the model, were parameterized in terms of the ice water content and mean effective ice crystal size. The incorporation of gaseous absorption in multiple scattering atmospheres was accomplished by means of the correlated k-distribution approach. In addition, the strong forward diffraction nature in the phase function was accounted for in each predivided spatial grid based on a delta-function adjustment. The radiation parameterization developed herein is applied to potential cloud configurations generated from GCMs to investigate broken clouds and cloud-overlapping effects on the domain-averaged heating rate. Cloud inhomogeneity plays an important role in the determination of flux and heating rate distributions. Clouds with maximum overlap tend to produce less heating than those with random overlap. Broken clouds show more solar heating as well as more IR cooling as compared to a continuous cloud field (Gu and Liou, 2001). (b) We incorporated a contemporary radiation parameterization scheme in the UCLA atmospheric GCM in collaboration with the UCLA GCM group. In conjunction with the cloud/radiation process studies, we developed a physically-based cloud cover formation scheme in association with radiation calculations. The model clouds were first vertically grouped in terms of low, middle, and high types. Maximum overlap was then used for each cloud type, followed by random overlap among the three cloud types. Fu and Liou's 1D radiation code with modification was subsequently employed for pixel-by-pixel radiation calculations in the UCLA GCM. We showed that the simulated cloud cover and OLR fields without special tuning are comparable to those of ISCCP dataset and the results derived from radiation budget experiments. Use of the new radiation and cloud schemes enhances the radiative warming in the middle to upper tropical troposphere and alleviates the cold bias in the UCLA atmospheric GCM. We also illustrated that ice crystal size and cloud inhomogeneous are significant factors affecting the radiation budgets at the top of the atmosphere and the surface (Gu et al. 2003). (c) An innovative approach has been developed to construct a 3D field of inhomogeneous clouds in general and cirrus in particular in terms of liquid/ice water content and particle size on the basis of a unification of satellite and ground-based cloud radar data. Satellite remote sensing employing the current narrow-band spectro-radiometers has limitation and only the vertically integrated cloud parameters (optical depth and mean particle size) can be determined. However, by combining the horizontal cloud mapping inferred from satellites with the vertical structure derived from the profiling Doppler cloud radar, a 3D cloud field can be constructed. This represents a new conceptual approach to 3D remote sensing and imaging and offers a new perspective in observing the cloud structure. We applied this novel technique to AVHRR/NOAA satellite and mm-wave cloud radar data obtained from the ARM achieve and assessed the 3D cirrus cloud field with the ice crystal size distributions independently derived from optical probe measurements aboard the University of North Dakota Citation. The retrieved 3D ice water content and mean effective ice crystal size involving an impressive cirrus cloud occurring on April 18, 1997, are shown to be comparable to those derived from the analysis of collocated and coincident in situ aircraft measurements (Liou et al. 2002). (d) Detection of thin cirrus with optical depths less than 0.5, particularly those occurring i n the tropics remains a fundamental problem in remote sensing. We developed a new detection scheme for the

Kuo-Nan Liou

2003-12-29T23:59:59.000Z

475

1  

NLE Websites -- All DOE Office Websites (Extended Search)

Trepte. 2003. "CERES cloud property retrievals from imagers on TRMM, Terra, and Aqua. SPIE Tenth International Symposium, Remote Sensing." Conference on Remote Sensing Clouds and...

476

Stratus Cloud Structure from MM-Radar Transects and Satellite...  

NLE Websites -- All DOE Office Websites (Extended Search)

and Artifact Detection with Semi-Discrete Wavelet Analyses A. B. Davis Space and Remote Sensing Sciences Group Los Alamos National Laboratory Los Alamos, New Mexico N. P....

477

Stratocumulus Clouds  

Science Conference Proceedings (OSTI)

This paper reviews the current knowledge of the climatological, structural, and organizational aspects of stratocumulus clouds and the physical processes controlling them. More of Earth’s surface is covered by stratocumulus clouds than by any ...

Robert Wood

2012-08-01T23:59:59.000Z

478

STORMVEX: The Storm Peak Lab Cloud Property Validation Experiment Science and Operations Plan  

Science Conference Proceedings (OSTI)

During the Storm Peak Lab Cloud Property Validation Experiment (STORMVEX), a substantial correlative data set of remote sensing observations and direct in situ measurements from fixed and airborne platforms will be created in a winter season, mountainous environment. This will be accomplished by combining mountaintop observations at Storm Peak Laboratory and the airborne National Science Foundation-supported Colorado Airborne Multi-Phase Cloud Study campaign with collocated measurements from the second ARM Mobile Facility (AMF2). We describe in this document the operational plans and motivating science for this experiment, which includes deployment of AMF2 to Steamboat Springs, Colorado. The intensive STORMVEX field phase will begin nominally on 1 November 2010 and extend to approximately early April 2011.

Mace, J; Matrosov, S; Shupe, M; Lawson, P; Hallar, G; McCubbin, I; Marchand, R; Orr, B; Coulter, R; Sedlacek, A; Avallone, L; Long, C

2010-09-29T23:59:59.000Z

479

Remote Sensing D/H Ratios in Methane Ice: Temperature-Dependent Absorption Coefficients of CH3D in Methane Ice and in Nitrogen Ice  

E-Print Network (OSTI)

The existence of strong absorption bands of singly deuterated methane (CH3D) at wavelengths where normal methane (CH4) absorbs comparatively weakly could enable remote measurement of D/H ratios in methane ice on outer solar system bodies. We performed laboratory transmission spectroscopy experiments, recording spectra at wavelengths from 1 to 6 \\mum to study CH3D bands at 2.47, 2.87, and 4.56 \\mum, wavelengths where ordinary methane absorption is weak. We report temperature-dependent absorption coefficients of these bands when the CH3D is diluted in CH4 ice and also when it is dissolved in N2 ice, and describe how these absorption coefficients can be combined with data from the literature to simulate arbitrary D/H ratio absorption coefficients for CH4 ice and for CH4 in N2 ice. We anticipate these results motivating new telescopic observations to measure D/H ratios in CH4 ice on Triton, Pluto, Eris, and Makemake.

Grundy, W M; Bovyn, M J; Tegler, S C; Cornelison, D M

2011-01-01T23:59:59.000Z

480

HORIZON SENSING  

Science Conference Proceedings (OSTI)

With the aid of a DOE grant (No. DE-FC26-01NT41050), Stolar Research Corporation (Stolar) developed the Horizon Sensor (HS) to distinguish between the different layers of a coal seam. Mounted on mining machine cutter drums, HS units can detect or sense the horizon between the coal seam and the roof and floor rock, providing the opportunity to accurately mine the section of the seam most desired. HS also enables accurate cutting of minimum height if that is the operator's objective. Often when cutting is done out-of-seam, the head-positioning function facilitates a fixed mining height to minimize dilution. With this technology, miners can still be at a remote location, yet cut only the clean coal, resulting in a much more efficient overall process. The objectives of this project were to demonstrate the feasibility of horizon sensing on mining machines and demonstrate that Horizon Sensing can allow coal to be cut cleaner and more efficiently. Stolar's primary goal was to develop the Horizon Sensor (HS) into an enabling technology for full or partial automation or ''agile mining''. This technical innovation (R&D 100 Award Winner) is quickly demonstrating improvements in productivity and miner safety at several prominent coal mines in the United States. In addition, the HS system can enable the cutting of cleaner coal. Stolar has driven the HS program on the philosophy that cutting cleaner coal means burning cleaner coal. The sensor, located inches from the cutting bits, is based upon the physics principles of a Resonant Microstrip Patch Antenna (RMPA). When it is in proximity of the rock-coal interface, the RMPA impedance varies depending on the thickness of uncut coal. The impedance is measured by the computer-controlled electronics and then sent by radio waves to the mining machine. The worker at the machine can read the data via a Graphical User Interface, displaying a color-coded image of the coal being cut, and direct the machine appropriately. The Horizon Sensor program began development in 1998 and experienced three major design phases. The final version, termed HS-3, was commissioned in 2000 with the assistance of the DOE-Mining Industry of the Future program, commercialized in 2002, and has been used 14 times in 12 different mines within the United States. The Horizon Sensor has applications in both underground and surface mining operations. This technology is primarily used in the coal industry, but is also used to mine trona and potash. All horizon sensor components have Mine Safety and Health Administration (MSHA) (United States) and IEC (International) certification. Horizon Sensing saves energy by maximizing cutting efficiency, cutting only desired material. This desired material is cleaner fuel, therefore reducing pollutants to the atmosphere when burned and burning more efficiently. Extracting only desired material increases productivity by reducing or eliminating the cleaning step after extraction. Additionally, this technology allows for deeper mining, resulting in more material gained from one location. The remote sensing tool allows workers to operate the machinery away from the hazards of cutting coal, including noise, breathing dust and gases, and coal and rock splintering and outbursts. The HS program has primarily revolved around the development of the technology. However, the end goal of the program has always been the commercialization of the technology and only within the last 2 years of the program has this goal been realized. Real-time horizon sensing on mining machines is becoming an industry tool. Detailed monitoring of system function, user experience, and mining benefits is ongoing.

Larry G. Stolarczyk

2003-03-18T23:59:59.000Z

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481

Remote radiation dosimetry  

DOE Patents (OSTI)

Disclosed are methods and apparatus for remotely measuring radiation levels. Such are particularly useful for measuring relatively high levels or dosages of radiation being administered in radiation therapy. They are also useful for more general radiation level measurements where remote sensing from the remaining portions of the apparatus is desirable. The apparatus uses a beam generator, such as a laser beam, to provide a stimulating beam. The stimulating beam is preferably of wavelengths shorter than 6 microns, or more advantageously less than 2 microns. The stimulating beam is used to stimulate a remote luminescent sensor mounted in a probe which emits stored luminescent energy resulting from exposure of the sensor to ionizing radiation. The stimulating beam is communicated to the remote luminescent sensor via transmissive fiber which also preferably serves to return the emission from the luminescent sensor. The stimulating beam is advantageously split by a beam splitter to create a detector beam which is measured for power during a reading period during which the luminescent phosphor is read. The detected power is preferably used to control the beam generator to thus produce desired beam power during the reading period. The luminescent emission from the remote sensor is communicated to a suitable emission detector, preferably after filtering or other selective treatment to better isolate the luminescent emission.

Braunlich, Peter F. (Pullman, WA); Tetzlaff, Wolfgang (Pullman, WA); Hegland, Joel E. (Pullman, WA); Jones, Scott C. (Pullman, WA)

1991-01-01T23:59:59.000Z

482

Remote radiation dosimetry  

DOE Patents (OSTI)

Disclosed are methods and apparatus for remotely measuring radiation levels. Such are particularly useful for measuring relatively high levels or dosages of radiation being administered in radiation therapy. They are also useful for more general radiation level measurements where remote sensing from the remaining portions of the apparatus is desirable. The apparatus uses a beam generator, such as a laser beam, to provide a stimulating beam. The stimulating beam is preferably of wavelengths shorter than 6 microns, or more advantageously less than 2 microns. The stimulating beam is used to stimulate a remote luminescent sensor mounted in a probe which emits stored luminescent energy resulting from exposure of the sensor to ionizing radiation. The stimulating beam is communicated to the remote luminescent sensor via a transmissive fiber which also preferably serves to return the emission from the luminescent sensor. The stimulating beam is advantageously split by a beam splitter to create a detector beam which is measured for power during a reading period during which the luminescent phosphor is read. The detected power is preferably used to control the beam generator to thus produce desired beam power during the reading period. The luminescent emission from the remote sensor is communicated to a suitable emission detector, preferably after filtering or other selective treatment to better isolate the luminescent emission. 8 figures.

Braunlich, P.F.; Tetzlaff, W.; Hegland, J.E.; Jones, S.C.

1991-03-12T23:59:59.000Z

483

Mesoscale Temperature Fluctuations and Polar Stratospheric Clouds  

Science Conference Proceedings (OSTI)

Remote sensing measurements of temperature fluctuations on isentropic surfaces, as well as in situ measurements, are used to show that even high-resolution trajectory calculations seriously underestimate the rate of change of temperature ...

D. M. Murphy; B. L. Gary

1995-05-01T23:59:59.000Z

484

Cloud Chmabers  

NLE Websites -- All DOE Office Websites (Extended Search)

Video - (Requires Windows Media Player) Build your own cloud chamber - Instructions Project Contact: Tom Jordan Web Maintainer: qnet-webmaster@fnal.gov Last Update: May 31, 2011...

485

Remote medicine  

Science Conference Proceedings (OSTI)

The international oil industry, catalyzed by a surge in exploration and production projects in remote regions, is giving health care for its travelers and expatriates a high priority. L.R. Aalund, the Journal`s Managing Editor--Technology, reports on why and how this is happening now. He covers this in articles on: health care in Russia, air ambulance evacuations, and the deployment of remote paramedics. Aalund gathered the information during trips to Finland and Russia and interviews with oil industry personnel, physicians, and other medical professionals in North America, Europe, and Siberia. Titles of the four topics presented in this special section on remote medicine are as follows: Oil companies focus on emergency care for expats in Russia; Air ambulance plan can be critical; Remote paramedics have high level of training; and Other facets of remote medicine.

NONE

1996-04-29T23:59:59.000Z

486

Determination of Liquid Water Altitudes Using Combined Remote Sensors  

Science Conference Proceedings (OSTI)

Methods by which attitude ranges of supercooled cloud liquid water in the atmosphere may be estimated are explored using measurements from a combination of ground-based remote sensors. The tests were c