Search Menu
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information
Search Scholarly Publications

Title: Radiometric and geometric analysis of hyperspectral imagery acquired from an unmanned aerial vehicle

Abstract

During the summer of 2010, an Unmanned Aerial Vehicle (UAV) hyperspectral in-flight calibration and characterization experiment of the Resonon PIKA II imaging spectrometer was conducted at the U.S. Department of Energy’s Idaho National Laboratory (INL) UAV Research Park. The purpose of the experiment was to validate the radiometric calibration of the spectrometer and determine the georegistration accuracy achievable from the on-board global positioning system (GPS) and inertial navigation sensors (INS) under operational conditions. In order for low-cost hyperspectral systems to compete with larger systems flown on manned aircraft, they must be able to collect data suitable for quantitative scientific analysis. The results of the in-flight calibration experiment indicate an absolute average agreement of 96.3%, 93.7% and 85.7% for calibration tarps of 56%, 24%, and 2.5% reflectivity, respectively. The achieved planimetric accuracy was 4.6 meters (based on RMSE).

Authors:
 [1];  [2];  [1];  [2]
+ Show Author Affiliations
  1. Idaho National Lab. (INL), Idaho Falls, ID (United States)
  2. Idaho State Univ., Boise, ID (United States)
Publication Date:
Research Org.:
Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1053204
Report Number(s):
INL/JOU-12-24795
Journal ID: ISSN 2072-4292; PII: rs4092736
Grant/Contract Number:  
AC07-05ID14517
Resource Type:
Accepted Manuscript
Journal Name:
Remote Sensing
Additional Journal Information:
Journal Volume: 4; Journal Issue: 12; Journal ID: ISSN 2072-4292
Publisher:
MDPI
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 42 ENGINEERING; 54 ENVIRONMENTAL SCIENCES; radiometric calibration; geometric correction; hyperspectral; imaging spectrometer; UAV

Citation Formats

Hruska, Ryan, Mitchell, Jessica, Anderson, Matthew, and Glenn, Nancy F. Radiometric and geometric analysis of hyperspectral imagery acquired from an unmanned aerial vehicle. United States: N. p., 2012. Web. doi:10.3390/rs4092736.
Copy to clipboard
Hruska, Ryan, Mitchell, Jessica, Anderson, Matthew, & Glenn, Nancy F. Radiometric and geometric analysis of hyperspectral imagery acquired from an unmanned aerial vehicle. United States. https://doi.org/10.3390/rs4092736
Copy to clipboard
Hruska, Ryan, Mitchell, Jessica, Anderson, Matthew, and Glenn, Nancy F. Mon . "Radiometric and geometric analysis of hyperspectral imagery acquired from an unmanned aerial vehicle". United States. https://doi.org/10.3390/rs4092736. https://www.osti.gov/servlets/purl/1053204.
Copy to clipboard
@article{osti_1053204,
title = {Radiometric and geometric analysis of hyperspectral imagery acquired from an unmanned aerial vehicle},
author = {Hruska, Ryan and Mitchell, Jessica and Anderson, Matthew and Glenn, Nancy F.},
abstractNote = {During the summer of 2010, an Unmanned Aerial Vehicle (UAV) hyperspectral in-flight calibration and characterization experiment of the Resonon PIKA II imaging spectrometer was conducted at the U.S. Department of Energy’s Idaho National Laboratory (INL) UAV Research Park. The purpose of the experiment was to validate the radiometric calibration of the spectrometer and determine the georegistration accuracy achievable from the on-board global positioning system (GPS) and inertial navigation sensors (INS) under operational conditions. In order for low-cost hyperspectral systems to compete with larger systems flown on manned aircraft, they must be able to collect data suitable for quantitative scientific analysis. The results of the in-flight calibration experiment indicate an absolute average agreement of 96.3%, 93.7% and 85.7% for calibration tarps of 56%, 24%, and 2.5% reflectivity, respectively. The achieved planimetric accuracy was 4.6 meters (based on RMSE).},
doi = {10.3390/rs4092736},
journal = {Remote Sensing},
number = 12,
volume = 4,
place = {United States},
year = {Mon Sep 17 00:00:00 EDT 2012},
month = {Mon Sep 17 00:00:00 EDT 2012}
}
Copy to clipboard
Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.3390/rs4092736
Copyright Statement
Other availability
Search WorldCat Search WorldCat to find libraries that may hold this journal
Citation Metrics:
Cited by: 126 works
Citation information provided by
Web of Science
Save / Share:
Export Metadata
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.

Works referenced in this record:

The airborne visible/infrared imaging spectrometer (AVIRIS)
journal, May 1993

Leafy Spurge (Euphorbia esula) Classification Performance Using Hyperspectral and Multispectral Sensors
journal, January 2009

  • Mitchell, Jessica J.; Glenn, Nancy F.
  • Rangeland Ecology & Management, Vol. 62, Issue 1
  • DOI: 10.2111/08-100

Robust hyperspectral vision-based classification for multi-season weed mapping
journal, April 2012

Identification of invasive vegetation using hyperspectral remote sensing in the California Delta ecosystem
journal, November 2008

  • Hestir, Erin L.; Khanna, Shruti; Andrew, Margaret E.
  • Remote Sensing of Environment, Vol. 112, Issue 11
  • DOI: 10.1016/j.rse.2008.01.022

Using spectral distance, spectral angle and plant abundance derived from hyperspectral imagery to characterize crop yield variation
journal, October 2011

Spectral indices to monitor nitrogen-driven carbon uptake in field corn
journal, January 2010

  • Middleton, Elizabeth M.
  • Journal of Applied Remote Sensing, Vol. 4, Issue 1
  • DOI: 10.1117/1.3518455

Estimation of citrus yield from canopy spectral features determined by airborne hyperspectral imagery
journal, August 2009

  • Ye, Xujun; Sakai, Kenshi; Sasao, Akira
  • International Journal of Remote Sensing, Vol. 30, Issue 18
  • DOI: 10.1080/01431160802632231

Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived From Hyperspectral Data
journal, February 2008

  • Haboudane, Driss; Tremblay, Nicolas; Miller, John R.
  • IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, Issue 2
  • DOI: 10.1109/TGRS.2007.904836

Using EO-1 Hyperion to Simulate HyspIRI Products for a Coniferous Forest: The Fraction of PAR Absorbed by Chlorophyll $(\hbox{fAPAR}_{\rm chl})$ and Leaf Water Content (LWC)
journal, May 2012

  • Zhang, Qingyuan; Middleton, Elizabeth M.; Gao, Bo-Cai
  • IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, Issue 5
  • DOI: 10.1109/TGRS.2011.2169267

Remote sensing of sagebrush canopy nitrogen
journal, September 2012

  • Mitchell, Jessica J.; Glenn, Nancy F.; Sankey, Temuulen T.
  • Remote Sensing of Environment, Vol. 124
  • DOI: 10.1016/j.rse.2012.05.002

Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies
journal, September 2009

  • Kokaly, Raymond F.; Asner, Gregory P.; Ollinger, Scott V.
  • Remote Sensing of Environment, Vol. 113
  • DOI: 10.1016/j.rse.2008.10.018

PROSPECT+SAIL models: A review of use for vegetation characterization
journal, September 2009

  • Jacquemoud, Stéphane; Verhoef, Wout; Baret, Frédéric
  • Remote Sensing of Environment, Vol. 113
  • DOI: 10.1016/j.rse.2008.01.026

Design and First Results of an UAV-Borne L-Band Radiometer for Multiple Monitoring Purposes
journal, June 2010

  • Acevo-Herrera, Rene; Aguasca, Albert; Bosch-Lluis, Xavier
  • Remote Sensing, Vol. 2, Issue 7
  • DOI: 10.3390/rs2071662

Reflectance quantities in optical remote sensing—definitions and case studies
journal, July 2006

  • Schaepman-Strub, G.; Schaepman, M. E.; Painter, T. H.
  • Remote Sensing of Environment, Vol. 103, Issue 1
  • DOI: 10.1016/j.rse.2006.03.002

Applications and Research Using Remote Sensing for Rangeland Management
journal, June 2003

  • Hunt, Jr., E. Raymond; Everitt, James H.; Ritchie, Jerry C.
  • Photogrammetric Engineering & Remote Sensing, Vol. 69, Issue 6
  • DOI: 10.14358/PERS.69.6.675

An Unmanned Aerial Vehicle for Rangeland Photography
journal, July 2005

Texture and Scale in Object-Based Analysis of Subdecimeter Resolution Unmanned Aerial Vehicle (UAV) Imagery
journal, March 2009

  • Laliberte, A. S.; Rango, A.
  • IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, Issue 3
  • DOI: 10.1109/TGRS.2008.2009355

Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle
journal, March 2009

  • Berni, J.; Zarco-Tejada, P. J.; Suarez, L.
  • IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, Issue 3
  • DOI: 10.1109/TGRS.2008.2010457

UAV-Borne 3-D Mapping System by Multisensor Integration
journal, March 2009

  • Nagai, M.; Shibasaki, R.
  • IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, Issue 3
  • DOI: 10.1109/TGRS.2008.2010314

Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments
journal, November 2011

  • Laliberte, Andrea S.; Goforth, Mark A.; Steele, Caitriana M.
  • Remote Sensing, Vol. 3, Issue 11
  • DOI: 10.3390/rs3112529

Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing
journal, May 2012

  • Kelcey, Joshua; Lucieer, Arko
  • Remote Sensing, Vol. 4, Issue 5
  • DOI: 10.3390/rs4051462

Mini-UAV-Borne LIDAR for Fine-Scale Mapping
journal, May 2011

  • Lin, Yi; Hyyppa, Juha; Jaakkola, Anttoni
  • IEEE Geoscience and Remote Sensing Letters, Vol. 8, Issue 3
  • DOI: 10.1109/LGRS.2010.2079913

A new Unmanned Aerial Vehicle Synthetic Aperture Radar for Environmental Monitoring
journal, January 2012

  • Koo, Voon Chet; Chan, Yee Kit; Gobi, Vetharatnam
  • Progress In Electromagnetics Research, Vol. 122
  • DOI: 10.2528/PIER11092604

Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use
journal, June 2012

  • Watts, Adam C.; Ambrosia, Vincent G.; Hinkley, Everett A.
  • Remote Sensing, Vol. 4, Issue 6
  • DOI: 10.3390/rs4061671

Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera
journal, February 2012

  • Zarco-Tejada, P. J.; González-Dugo, V.; Berni, J. A. J.
  • Remote Sensing of Environment, Vol. 117
  • DOI: 10.1016/j.rse.2011.10.007

MODTRAN Cloud and Multiple Scattering Upgrades with Application to AVIRIS
journal, September 1998

Georegistration of airborne hyperspectral image data
journal, July 2001

  • Lee, C.; Bethel, J.
  • IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, Issue 7
  • DOI: 10.1109/36.934067

Fusion of HYDICE hyperspectral data with panchromatic imagery for cartographic feature extraction
journal, May 1999

  • McKeown, D. M.; Cochran, S. D.; Ford, S. J.
  • IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, Issue 3
  • DOI: 10.1109/36.763286

Automatic Georeferencing of Airborne Pushbroom Scanner Images With Missing Ancillary Data Using Mutual Information
journal, May 2008

  • Cariou, C.; Chehdi, K.
  • IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, Issue 5
  • DOI: 10.1109/TGRS.2008.916206

An operational method for estimating signal to noise ratios from data acquired with imaging spectrometers
journal, January 1993

An Unmanned Aerial Vehicle for Rangeland Photography
journal, January 2005

Investigation of Fish-Eye Lenses for Small-UAV Aerial Photography
journal, March 2009

  • Gurtner, A.; Greer, D. G.; Glassock, R.
  • IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, Issue 3
  • DOI: 10.1109/tgrs.2008.2009763

Design and First Results of an UAV-Borne L-Band Radiometer for Multiple Monitoring Purposes
journal, June 2010

  • Acevo-Herrera, Rene; Aguasca, Albert; Bosch-Lluis, Xavier
  • Remote Sensing, Vol. 2, Issue 7
  • DOI: 10.3390/rs2071662

Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments
journal, November 2011

  • Laliberte, Andrea S.; Goforth, Mark A.; Steele, Caitriana M.
  • Remote Sensing, Vol. 3, Issue 11
  • DOI: 10.3390/rs3112529

Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing
journal, May 2012

  • Kelcey, Joshua; Lucieer, Arko
  • Remote Sensing, Vol. 4, Issue 5
  • DOI: 10.3390/rs4051462

Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use
journal, June 2012

  • Watts, Adam C.; Ambrosia, Vincent G.; Hinkley, Everett A.
  • Remote Sensing, Vol. 4, Issue 6
  • DOI: 10.3390/rs4061671
    Sort by:
    [ × clear filter / sort ]

    Works referencing / citing this record:

    HyperUAS-Imaging Spectroscopy from a Multirotor Unmanned Aircraft System: HyperUAS-Imaging Spectroscopy from a Multirotor Unmanned
    journal, March 2014

    • Lucieer, Arko; Malenovský, Zbyněk; Veness, Tony
    • Journal of Field Robotics, Vol. 31, Issue 4
    • DOI: 10.1002/rob.21508

    Low-altitude Terrestrial Spectroscopy from a Pushbroom Sensor: Low-Altitude Terrestrial Spectroscopy
    journal, October 2015

    • Ramirez-Paredes, Juan-Pablo; Lary, David J.; Gans, Nicholas R.
    • Journal of Field Robotics, Vol. 33, Issue 6
    • DOI: 10.1002/rob.21624

    How canopy shadow affects invasive plant species classification in high spatial resolution remote sensing
    journal, February 2019

    • Lopatin, Javier; Dolos, Klara; Kattenborn, Teja
    • Remote Sensing in Ecology and Conservation, Vol. 5, Issue 4
    • DOI: 10.1002/rse2.109

    Sub-pixel Mapping of Doñana Shrubland Species
    book, January 2017

    • Jiménez, Marcos; Díaz-Delgado, Ricardo
    • The Roles of Remote Sensing in Nature Conservation, 141–163
    • DOI: 10.1007/978-3-319-64332-8_8

    Applications of unmanned aerial vehicles in fluvial remote sensing: An overview of recent achievements
    journal, May 2017

    • Rhee, Dong Sop; Kim, Young Do; Kang, Boosik
    • KSCE Journal of Civil Engineering, Vol. 22, Issue 2
    • DOI: 10.1007/s12205-017-1862-5

    Detection of Alteration Minerals Using Hyperion Data Analysis in Lahroud
    journal, February 2016

    • Oskouei, Majid M.; Babakan, Solmaz
    • Journal of the Indian Society of Remote Sensing, Vol. 44, Issue 5
    • DOI: 10.1007/s12524-016-0549-6

    What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?
    journal, December 2017

    Semi-automatic geometric correction of airborne hyperspectral push-broom images using ground control points and linear features
    journal, March 2018

    UAV-hyperspectral imaging of spectrally complex environments
    journal, January 2020

    • Banerjee, Bikram Pratap; Raval, Simit; Cullen, P. J.
    • International Journal of Remote Sensing, Vol. 41, Issue 11
    • DOI: 10.1080/01431161.2020.1714771

    Use of principal components of UAV-acquired narrow-band multispectral imagery to map the diverse low stature vegetation fAPAR
    journal, November 2018

    Can flowers provide better spectral discrimination between herbaceous wetland species than leaves?
    journal, October 2014

    Method of radiometric quality assessment of NIR images acquired with a custom sensor mounted on an unmanned aerial vehicle
    journal, January 2018

    • Wierzbicki, Damian; Fryskowska, Anna; Kedzierski, Michal
    • Journal of Applied Remote Sensing, Vol. 12, Issue 01
    • DOI: 10.1117/1.jrs.12.015008

    Calibrated plant height estimates with structure from motion from fixed-wing UAV images
    conference, May 2018

    • Han, Xiongzhe; Thomasson, J. Alex; Bagnall, Cody
    • Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III
    • DOI: 10.1117/12.2305746

    Remote sensing of the environment with small unmanned aircraft systems (UASs), part 1: a review of progress and challenges
    journal, September 2014

    • Whitehead, Ken; Hugenholtz, Chris H.
    • Journal of Unmanned Vehicle Systems, Vol. 02, Issue 03
    • DOI: 10.1139/juvs-2014-0006

    Unmanned Aerial Vehicle to Estimate Nitrogen Status of Turfgrasses
    journal, June 2016

    Implementation of a UAV–Hyperspectral Pushbroom Imager for Ecological Monitoring
    journal, January 2019

    Object-Based Mangrove Species Classification Using Unmanned Aerial Vehicle Hyperspectral Images and Digital Surface Models
    journal, January 2018

    • Cao, Jingjing; Leng, Wanchun; Liu, Kai
    • Remote Sensing, Vol. 10, Issue 2
    • DOI: 10.3390/rs10010089

    Direct Georeferencing of a Pushbroom, Lightweight Hyperspectral System for Mini-UAV Applications
    journal, January 2018

    • Jaud, Marion; Le Dantec, Nicolas; Ammann, Jérôme
    • Remote Sensing, Vol. 10, Issue 2
    • DOI: 10.3390/rs10020204

    Drone-Borne Hyperspectral Monitoring of Acid Mine Drainage: An Example from the Sokolov Lignite District
    journal, March 2018

    • Jackisch, Robert; Lorenz, Sandra; Zimmermann, Robert
    • Remote Sensing, Vol. 10, Issue 3
    • DOI: 10.3390/rs10030385

    Drift Correction of Lightweight Microbolometer Thermal Sensors On-Board Unmanned Aerial Vehicles
    journal, April 2018

    • Mesas-Carrascosa, Francisco-Javier; Pérez-Porras, Fernando; Meroño de Larriva, Jose
    • Remote Sensing, Vol. 10, Issue 4
    • DOI: 10.3390/rs10040615

    Influence of Lower Atmosphere on the Radiometric Quality of Unmanned Aerial Vehicle Imagery
    journal, May 2019

    • Kedzierski, Michal; Wierzbicki, Damian; Sekrecka, Aleksandra
    • Remote Sensing, Vol. 11, Issue 10
    • DOI: 10.3390/rs11101214

    A Simulation Environment for Validation and Verification of Real Time Hyperspectral Processing Algorithms on-Board a UAV
    journal, August 2019

    • Horstrand, Pablo; López, José Fco.; López, Sebastián
    • Remote Sensing, Vol. 11, Issue 16
    • DOI: 10.3390/rs11161852

    Multispectral UAS Data Accuracy for Different Radiometric Calibration Methods
    journal, August 2019

    • Poncet, Aurelie M.; Knappenberger, Thorsten; Brodbeck, Christian
    • Remote Sensing, Vol. 11, Issue 16
    • DOI: 10.3390/rs11161917

    Radiometric and Atmospheric Corrections of Multispectral μMCA Camera for UAV Spectroscopy
    journal, October 2019

    • Minařík, Robert; Langhammer, Jakub; Hanuš, Jan
    • Remote Sensing, Vol. 11, Issue 20
    • DOI: 10.3390/rs11202428

    Automated Georectification and Mosaicking of UAV-Based Hyperspectral Imagery from Push-Broom Sensors
    journal, December 2019

    • Angel, Yoseline; Turner, Darren; Parkes, Stephen
    • Remote Sensing, Vol. 12, Issue 1
    • DOI: 10.3390/rs12010034

    Current Practices in UAS-based Environmental Monitoring
    journal, March 2020

    • Tmušić, Goran; Manfreda, Salvatore; Aasen, Helge
    • Remote Sensing, Vol. 12, Issue 6
    • DOI: 10.3390/rs12061001

    Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture
    journal, October 2013

    • Honkavaara, Eija; Saari, Heikki; Kaivosoja, Jere
    • Remote Sensing, Vol. 5, Issue 10
    • DOI: 10.3390/rs5105006

    A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles
    journal, November 2014

    • Suomalainen, Juha; Anders, Niels; Iqbal, Shahzad
    • Remote Sensing, Vol. 6, Issue 11
    • DOI: 10.3390/rs61111013

    Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management
    journal, September 2015

    • Mesas-Carrascosa, Francisco-Javier; Torres-Sánchez, Jorge; Clavero-Rumbao, Inmaculada
    • Remote Sensing, Vol. 7, Issue 10
    • DOI: 10.3390/rs71012793

    Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging
    journal, February 2017

    • Nevalainen, Olli; Honkavaara, Eija; Tuominen, Sakari
    • Remote Sensing, Vol. 9, Issue 3
    • DOI: 10.3390/rs9030185

    Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry
    journal, October 2017

    • Adão, Telmo; Hruška, Jonáš; Pádua, Luís
    • Remote Sensing, Vol. 9, Issue 11
    • DOI: 10.3390/rs9111110

    Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production
    journal, June 2017

    • Domingues Franceschini, Marston; Bartholomeus, Harm; van Apeldoorn, Dirk
    • Sensors, Vol. 17, Issue 6
    • DOI: 10.3390/s17061428

    How canopy shadow affects invasive plant species classification in high spatial resolution remote sensing
    text, January 2019

    An outdoor scientific data drone Ground Truthing Test Site
    conference, June 2015

    • Smith, Brendan; Stark, Brandon; Zhao, Tiebiao
    • 2015 International Conference on Unmanned Aircraft Systems (ICUAS)
    • DOI: 10.1109/icuas.2015.7152320

    Unmanned Aerial Vehicle to Estimate Nitrogen Status of Turfgrasses
    journal, June 2016

    Comparative UAV and Field Phenotyping to Assess Yield and Nitrogen Use Efficiency in Hybrid and Conventional Barley
    journal, October 2017

    • Kefauver, Shawn C.; Vicente, Rubén; Vergara-Díaz, Omar
    • Frontiers in Plant Science, Vol. 8
    • DOI: 10.3389/fpls.2017.01733

    Towards a Standard Plant Species Spectral Library Protocol for Vegetation Mapping: A Case Study in the Shrubland of Doñana National Park
    journal, November 2015

    • Jiménez, Marcos; Díaz-Delgado, Ricardo
    • ISPRS International Journal of Geo-Information, Vol. 4, Issue 4
    • DOI: 10.3390/ijgi4042472

    Drone-Borne Hyperspectral Monitoring of Acid Mine Drainage: An Example from the Sokolov Lignite District
    journal, March 2018

    • Jackisch, Robert; Lorenz, Sandra; Zimmermann, Robert
    • Remote Sensing, Vol. 10, Issue 3
    • DOI: 10.3390/rs10030385

    A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles
    journal, November 2014

    • Suomalainen, Juha; Anders, Niels; Iqbal, Shahzad
    • Remote Sensing, Vol. 6, Issue 11
    • DOI: 10.3390/rs61111013

    Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production
    journal, June 2017

    • Domingues Franceschini, Marston; Bartholomeus, Harm; van Apeldoorn, Dirk
    • Sensors, Vol. 17, Issue 6
    • DOI: 10.3390/s17061428

    Measurement and Calibration of Plant-Height from Fixed-Wing UAV Images
    journal, November 2018

    • Han, Xiongzhe; Thomasson, J. Alex; Bagnall, G. Cody
    • Sensors, Vol. 18, Issue 12
    • DOI: 10.3390/s18124092

    Remote sensing of plant trait responses to field-based plant-soil feedback using UAV-based optical sensors
    journal, November 2016

    • van der Meij, Bob; Kooistra, Lammert; Suomalainen, Juha
    • Biogeosciences Discussions
    • DOI: 10.5194/bg-2016-452
      Sort by:
      [ × clear filter / sort ]

      Similar Records in DOE PAGES and OSTI.GOV collections: