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dc.contributor.authorCzapla-Myers, Jeffrey S.
dc.contributor.authorAnderson, Nikolaus J.
dc.date.accessioned2019-05-15T16:51:26Z
dc.date.available2019-05-15T16:51:26Z
dc.date.issued2017
dc.identifier.citationJeffrey S. Czapla-Myers and Nikolaus J. Anderson "Analysis of a commercial small unmanned airborne system (sUAS) in support of the Radiometric Calibration Test Site (RadCaTS) at Railroad Valley", Proc. SPIE 10402, Earth Observing Systems XXII, 104020K (5 September 2017); doi: 10.1117/12.2274478; https://doi.org/10.1117/12.2274478en_US
dc.identifier.issn9781510612617
dc.identifier.issn9781510612624
dc.identifier.doi10.1117/12.2274478
dc.identifier.doi10.1117/12.2274478.5581309930001
dc.identifier.urihttp://hdl.handle.net/10150/632256
dc.description.abstractThe Radiometric Calibration Test Site (RadCaTS) is an automated facility developed by the Remote Sensing Group (RSG) at the University of Arizona to provide radiometric calibration data for airborne and satellite sensors. RadCaTS uses stationary ground-viewing radiometers (GVRs) to spatially sample the surface reflectance of the site. The number and location of the GVRs is based on previous spatial, spectral, and temporal analyses of Railroad Valley. With the increase in high-resolution satellite sensors, there is renewed interest in examining the spatial uniformity the 1-km(2) RadCaTS area at scales smaller than a typical 30-m sensor. RadCaTS is one of the four instrumented sites currently in the CEOS WGCV Radiometric Calibration Network (RadCalNet), which aims to harmonize the post-launch radiometric calibration of satellite sensors through the use of a global network of automated calibration sites. A better understanding of the RadCaTS spatial uniformity as a function of pixel size will also benefit the RadCalNet work. RSG has recently acquired a commercially-available small unmanned airborne system (sUAS) system, with which preliminary spatial homogeneity measurements of the 1-km2 RadCaTS area were made. This work describes an initial assessment of the airborne platform and integrated camera for spatial studies of RadCaTS using data that were collected in 2016 and 2017.en_US
dc.description.sponsorshipNASAen_US
dc.language.isoenen_US
dc.publisherSPIE-INT SOC OPTICAL ENGINEERINGen_US
dc.relation.urlhttps://www.spiedigitallibrary.org/conference-proceedings-of-spie/10402/2274478/Analysis-of-a-commercial-small-unmanned-airborne-system-sUAS-in/10.1117/12.2274478.fullen_US
dc.relation.urlhttps://www.spiedigitallibrary.org/conference-presentations/10402/104020K/Analysis-of-a-commercial-small-unmanned-airborne-system-sUAS-in/10.1117/12.2274478.5581309930001en_US
dc.rights© 2017 SPIE.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectsUASen_US
dc.subjectUAVen_US
dc.subjectcameraen_US
dc.subjectcalibrationen_US
dc.subjectradiometryen_US
dc.subjectRadCaTSen_US
dc.titleAnalysis of a commercial small unmanned airborne system (sUAS) in support of the Radiometric Calibration Test Site (RadCaTS) at Railroad Valleyen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Remote Sensing Grp, Coll Opt Scien_US
dc.identifier.journalEARTH OBSERVING SYSTEMS XXIIen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.beginpage19
refterms.dateFOA2019-05-15T16:51:27Z


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