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

Hruska, Ryan; Mitchell, Jessica; Anderson, Matthew; Glenn, Nancy F.

doi:10.3390/rs4092736

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

Journal Article · Mon Sep 17 00:00:00 EDT 2012 · Remote Sensing

DOI: https://doi.org/10.3390/rs4092736 · OSTI ID:1053204

Hruska, Ryan ^[1]; Mitchell, Jessica ^[2]; Anderson, Matthew ^[1]; Glenn, Nancy F. ^[2]

Idaho National Lab. (INL), Idaho Falls, ID (United States)
Idaho State Univ., Boise, ID (United States)

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).

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Research Organization:: Idaho National Laboratory (INL), Idaho Falls, ID (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC07-05ID14517

OSTI ID:: 1053204

Report Number(s):: INL/JOU--12-24795; PII: rs4092736

Journal Information:: Remote Sensing, Journal Name: Remote Sensing Journal Issue: 12 Vol. 4; ISSN 2072-4292

Publisher:: MDPICopyright Statement

Country of Publication:: United States

Language:: English

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Spectral indices to monitor nitrogen-driven carbon uptake in field corn Middleton, Elizabeth M. Journal of Applied Remote Sensing, Vol. 4, Issue 1 https://doi.org/10.1117/1.3518455	journal	January 2010
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Applications and Research Using Remote Sensing for Rangeland Management Hunt, Jr., E. Raymond; Everitt, James H.; Ritchie, Jerry C. Photogrammetric Engineering & Remote Sensing, Vol. 69, Issue 6 https://doi.org/10.14358/pers.69.6.675	journal	June 2003
Leafy Spurge (Euphorbia esula) Classification Performance Using Hyperspectral and Multispectral Sensors Mitchell, Jessica J.; Glenn, Nancy F. Rangeland Ecology & Management, Vol. 62, Issue 1 https://doi.org/10.2111/08-100	journal	January 2009
An Unmanned Aerial Vehicle for Rangeland Photography Hardin, Perry J.; Jackson, Mark W. Rangeland Ecology & Management, Vol. 58, Issue 4 https://doi.org/10.2111/1551-5028(2005)058[0439:auavfr]2.0.co;2	journal	July 2005
A new Unmanned Aerial Vehicle Synthetic Aperture Radar for Environmental Monitoring Koo, Voon Chet; Chan, Yee Kit; Gobi, Vetharatnam Progress In Electromagnetics Research, Vol. 122 https://doi.org/10.2528/pier11092604	journal	January 2012
Design and First Results of an UAV-Borne L-Band Radiometer for Multiple Monitoring Purposes Acevo-Herrera, Rene; Aguasca, Albert; Bosch-Lluis, Xavier Remote Sensing, Vol. 2, Issue 7 https://doi.org/10.3390/rs2071662	journal	June 2010
The Utilization of Historical Data and Geospatial Technology Advances at the Jornada Experimental Range to Support Western America Ranching Culture Rango, Albert; Havstad, Kris; Estell, Rick Remote Sensing, Vol. 3, Issue 9 https://doi.org/10.3390/rs3092089	journal	September 2011
Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments Laliberte, Andrea S.; Goforth, Mark A.; Steele, Caitriana M. Remote Sensing, Vol. 3, Issue 11 https://doi.org/10.3390/rs3112529	journal	November 2011
Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing Kelcey, Joshua; Lucieer, Arko Remote Sensing, Vol. 4, Issue 5 https://doi.org/10.3390/rs4051462	journal	May 2012
Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use Watts, Adam C.; Ambrosia, Vincent G.; Hinkley, Everett A. Remote Sensing, Vol. 4, Issue 6 https://doi.org/10.3390/rs4061671	journal	June 2012
Using spectral distance, spectral angle and plant abundance derived from hyperspectral imagery to characterize crop yield variation Yang, Chenghai; Everitt, James H. Precision Agriculture, Vol. 13, Issue 1 https://doi.org/10.1007/s11119-011-9248-z	journal	October 2011
The airborne visible/infrared imaging spectrometer (AVIRIS) Vane, Gregg; Green, Robert O.; Chrien, Thomas G. Remote Sensing of Environment, Vol. 44, Issue 2-3 https://doi.org/10.1016/0034-4257(93)90012-M	journal	May 1993
An operational method for estimating signal to noise ratios from data acquired with imaging spectrometers Gao, Bo-Cai Remote Sensing of Environment, Vol. 43, Issue 1 https://doi.org/10.1016/0034-4257(93)90061-2	journal	January 1993
MODTRAN Cloud and Multiple Scattering Upgrades with Application to AVIRIS Berk, A.; Bernstein, L. S.; Anderson, G. P. Remote Sensing of Environment, Vol. 65, Issue 3 https://doi.org/10.1016/S0034-4257(98)00045-5	journal	September 1998
Robust hyperspectral vision-based classification for multi-season weed mapping Zhang, Yun; Slaughter, David C.; Staab, Erik S. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 69 https://doi.org/10.1016/j.isprsjprs.2012.02.006	journal	April 2012
Reflectance quantities in optical remote sensing—definitions and case studies Schaepman-Strub, G.; Schaepman, M. E.; Painter, T. H. Remote Sensing of Environment, Vol. 103, Issue 1 https://doi.org/10.1016/j.rse.2006.03.002	journal	July 2006
Identification of invasive vegetation using hyperspectral remote sensing in the California Delta ecosystem Hestir, Erin L.; Khanna, Shruti; Andrew, Margaret E. Remote Sensing of Environment, Vol. 112, Issue 11 https://doi.org/10.1016/j.rse.2008.01.022	journal	November 2008
PROSPECT+SAIL models: A review of use for vegetation characterization Jacquemoud, Stéphane; Verhoef, Wout; Baret, Frédéric Remote Sensing of Environment, Vol. 113 https://doi.org/10.1016/j.rse.2008.01.026	journal	September 2009
Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies Kokaly, Raymond F.; Asner, Gregory P.; Ollinger, Scott V. Remote Sensing of Environment, Vol. 113 https://doi.org/10.1016/j.rse.2008.10.018	journal	September 2009
Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera Zarco-Tejada, P. J.; González-Dugo, V.; Berni, J. A. J. Remote Sensing of Environment, Vol. 117 https://doi.org/10.1016/j.rse.2011.10.007	journal	February 2012
Remote sensing of sagebrush canopy nitrogen Mitchell, Jessica J.; Glenn, Nancy F.; Sankey, Temuulen T. Remote Sensing of Environment, Vol. 124 https://doi.org/10.1016/j.rse.2012.05.002	journal	September 2012
Estimation of citrus yield from canopy spectral features determined by airborne hyperspectral imagery Ye, Xujun; Sakai, Kenshi; Sasao, Akira International Journal of Remote Sensing, Vol. 30, Issue 18 https://doi.org/10.1080/01431160802632231	journal	August 2009
Fusion of HYDICE hyperspectral data with panchromatic imagery for cartographic feature extraction McKeown, D. M.; Cochran, S. D.; Ford, S. J. IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, Issue 3 https://doi.org/10.1109/36.763286	journal	May 1999
Georegistration of airborne hyperspectral image data Lee, C.; Bethel, J. IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, Issue 7 https://doi.org/10.1109/36.934067	journal	July 2001
Mini-UAV-Borne LIDAR for Fine-Scale Mapping Lin, Yi; Hyyppa, Juha; Jaakkola, Anttoni IEEE Geoscience and Remote Sensing Letters, Vol. 8, Issue 3 https://doi.org/10.1109/LGRS.2010.2079913	journal	May 2011
Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived From Hyperspectral Data Haboudane, Driss; Tremblay, Nicolas; Miller, John R. IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, Issue 2 https://doi.org/10.1109/TGRS.2007.904836	journal	February 2008
Texture and Scale in Object-Based Analysis of Subdecimeter Resolution Unmanned Aerial Vehicle (UAV) Imagery Laliberte, A. S.; Rango, A. IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, Issue 3 https://doi.org/10.1109/TGRS.2008.2009355	journal	March 2009
Investigation of Fish-Eye Lenses for Small-UAV Aerial Photography Gurtner, A.; Greer, D. G.; Glassock, R. IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, Issue 3 https://doi.org/10.1109/TGRS.2008.2009763	journal	March 2009
UAV-Borne 3-D Mapping System by Multisensor Integration Nagai, M.; Shibasaki, R. IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, Issue 3 https://doi.org/10.1109/TGRS.2008.2010314	journal	March 2009
Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle Berni, J.; Zarco-Tejada, P. J.; Suarez, L. IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, Issue 3 https://doi.org/10.1109/TGRS.2008.2010457	journal	March 2009
Automatic Georeferencing of Airborne Pushbroom Scanner Images With Missing Ancillary Data Using Mutual Information Cariou, C.; Chehdi, K. IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, Issue 5 https://doi.org/10.1109/TGRS.2008.916206	journal	May 2008
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) Zhang, Qingyuan; Middleton, Elizabeth M.; Gao, Bo-Cai IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, Issue 5 https://doi.org/10.1109/TGRS.2011.2169267	journal	May 2012
Spectral indices to monitor nitrogen-driven carbon uptake in field corn Middleton, Elizabeth M. Journal of Applied Remote Sensing, Vol. 4, Issue 1 https://doi.org/10.1117/1.3518455	journal	January 2010
Spectral calibration requirement for Earth-looking imaging spectrometers in the solar-reflected spectrum Green, Robert O. Applied Optics, Vol. 37, Issue 4 https://doi.org/10.1364/AO.37.000683	journal	January 1998
Applications and Research Using Remote Sensing for Rangeland Management Hunt, Jr., E. Raymond; Everitt, James H.; Ritchie, Jerry C. Photogrammetric Engineering & Remote Sensing, Vol. 69, Issue 6 https://doi.org/10.14358/PERS.69.6.675	journal	June 2003
Leafy Spurge (Euphorbia esula) Classification Performance Using Hyperspectral and Multispectral Sensors Mitchell, Jessica J.; Glenn, Nancy F. Rangeland Ecology & Management, Vol. 62, Issue 1 https://doi.org/10.2111/08-100	journal	January 2009
An Unmanned Aerial Vehicle for Rangeland Photography Hardin, Perry J.; Jackson, Mark W. Rangeland Ecology & Management, Vol. 58, Issue 4 https://doi.org/10.2111/1551-5028(2005)058[0439:AUAVFR]2.0.CO;2	journal	July 2005
An Unmanned Aerial Vehicle for Rangeland Photography Hardin, Perry J.; Jackson, Mark W. Rangeland Ecology & Management, Vol. 58, Issue 4 https://doi.org/10.2458/azu_rangelands_v58i4_jackson	journal	January 2005
A new Unmanned Aerial Vehicle Synthetic Aperture Radar for Environmental Monitoring Koo, Voon Chet; Chan, Yee Kit; Gobi, Vetharatnam Progress In Electromagnetics Research, Vol. 122 https://doi.org/10.2528/PIER11092604	journal	January 2012
Design and First Results of an UAV-Borne L-Band Radiometer for Multiple Monitoring Purposes Acevo-Herrera, Rene; Aguasca, Albert; Bosch-Lluis, Xavier Remote Sensing, Vol. 2, Issue 7 https://doi.org/10.3390/rs2071662	journal	June 2010
The Utilization of Historical Data and Geospatial Technology Advances at the Jornada Experimental Range to Support Western America Ranching Culture Rango, Albert; Havstad, Kris; Estell, Rick Remote Sensing, Vol. 3, Issue 9 https://doi.org/10.3390/rs3092089	journal	September 2011
Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments Laliberte, Andrea S.; Goforth, Mark A.; Steele, Caitriana M. Remote Sensing, Vol. 3, Issue 11 https://doi.org/10.3390/rs3112529	journal	November 2011
Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing Kelcey, Joshua; Lucieer, Arko Remote Sensing, Vol. 4, Issue 5 https://doi.org/10.3390/rs4051462	journal	May 2012
Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use Watts, Adam C.; Ambrosia, Vincent G.; Hinkley, Everett A. Remote Sensing, Vol. 4, Issue 6 https://doi.org/10.3390/rs4061671	journal	June 2012

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Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Species in a Forest Area of High Species Diversity Tuominen, Sakari; Näsi, Roope; Honkavaara, Eija Remote Sensing, Vol. 10, Issue 5 https://doi.org/10.3390/rs10050714	journal	May 2018
Influence of Lower Atmosphere on the Radiometric Quality of Unmanned Aerial Vehicle Imagery Kedzierski, Michal; Wierzbicki, Damian; Sekrecka, Aleksandra Remote Sensing, Vol. 11, Issue 10 https://doi.org/10.3390/rs11101214	journal	May 2019
A Simulation Environment for Validation and Verification of Real Time Hyperspectral Processing Algorithms on-Board a UAV Horstrand, Pablo; López, José Fco.; López, Sebastián Remote Sensing, Vol. 11, Issue 16 https://doi.org/10.3390/rs11161852	journal	August 2019
Multispectral UAS Data Accuracy for Different Radiometric Calibration Methods Poncet, Aurelie M.; Knappenberger, Thorsten; Brodbeck, Christian Remote Sensing, Vol. 11, Issue 16 https://doi.org/10.3390/rs11161917	journal	August 2019
Radiometric and Atmospheric Corrections of Multispectral μMCA Camera for UAV Spectroscopy Minařík, Robert; Langhammer, Jakub; Hanuš, Jan Remote Sensing, Vol. 11, Issue 20 https://doi.org/10.3390/rs11202428	journal	October 2019
Automated Georectification and Mosaicking of UAV-Based Hyperspectral Imagery from Push-Broom Sensors Angel, Yoseline; Turner, Darren; Parkes, Stephen Remote Sensing, Vol. 12, Issue 1 https://doi.org/10.3390/rs12010034	journal	December 2019
Current Practices in UAS-based Environmental Monitoring Tmušić, Goran; Manfreda, Salvatore; Aasen, Helge Remote Sensing, Vol. 12, Issue 6 https://doi.org/10.3390/rs12061001	journal	March 2020
Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture Honkavaara, Eija; Saari, Heikki; Kaivosoja, Jere Remote Sensing, Vol. 5, Issue 10 https://doi.org/10.3390/rs5105006	journal	October 2013
A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles Suomalainen, Juha; Anders, Niels; Iqbal, Shahzad Remote Sensing, Vol. 6, Issue 11 https://doi.org/10.3390/rs61111013	journal	November 2014
Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management Mesas-Carrascosa, Francisco-Javier; Torres-Sánchez, Jorge; Clavero-Rumbao, Inmaculada Remote Sensing, Vol. 7, Issue 10 https://doi.org/10.3390/rs71012793	journal	September 2015
Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging Nevalainen, Olli; Honkavaara, Eija; Tuominen, Sakari Remote Sensing, Vol. 9, Issue 3 https://doi.org/10.3390/rs9030185	journal	February 2017
Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry Adão, Telmo; Hruška, Jonáš; Pádua, Luís Remote Sensing, Vol. 9, Issue 11 https://doi.org/10.3390/rs9111110	journal	October 2017
Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production Domingues Franceschini, Marston; Bartholomeus, Harm; van Apeldoorn, Dirk Sensors, Vol. 17, Issue 6 https://doi.org/10.3390/s17061428	journal	June 2017
A Critical Review of High and Very High-Resolution Remote Sensing Approaches for Detecting and Mapping Slums: Trends, Challenges and Emerging Opportunities Mahabir, Ron; Croitoru, Arie; Crooks, Andrew Urban Science, Vol. 2, Issue 1 https://doi.org/10.3390/urbansci2010008	journal	January 2018
How canopy shadow affects invasive plant species classification in high spatial resolution remote sensing Lopatin, Javier; Dolos, Klara; Kattenborn, Teja Karlsruhe https://doi.org/10.5445/ir/1000126832	text	January 2019
Use of principal components of UAV-acquired narrow-band multispectral imagery to map the diverse low stature vegetation fAPAR Huang, Cho-Ying; Wei, Hsin-Lin; Rau, Jiann-Yeou Taylor & Francis https://doi.org/10.6084/m9.figshare.7393376	text	January 2018
Use of principal components of UAV-acquired narrow-band multispectral imagery to map the diverse low stature vegetation fAPAR Huang, Cho-Ying; Wei, Hsin-Lin; Rau, Jiann-Yeou Taylor & Francis https://doi.org/10.6084/m9.figshare.7393376.v1	text	January 2018

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