Vicarious Calibration of eMAS, AirMSPI, and AVIRIS Sensors During FIREX-AQ
AuthorBruegge, Carol J.
Arnold, G. Thomas
Helmlinger, Mark C.
Thompson, David R.
Van den Bosch, Jeannette
Wenny, Brian N.
AffiliationWyant College of Optical Sciences, The University of Arizona
KeywordsAerosols -- Spectra.
Airborne Multiangle SpectroPolarimetric Imager (AirMSPI)
Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)
Enhanced MODIS Airborne Simulator (eMAS)
Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ)
Optical surface waves
Railroad Valley (RRV)
vicarious calibration (VicCal)
MetadataShow full item record
CitationC. J. Bruegge et al., "Vicarious Calibration of eMAS, AirMSPI, and AVIRIS Sensors During FIREX-AQ," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3066997.
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AbstractRemote sensing instruments, both aircraft and on-orbit platforms, undergo extensive laboratory calibrations to determine their geometric, spectral, and radiometric responses. Additional in-flight radiometric calibrations can be performed using well-characterized earth targets. The Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) campaign provided such an opportunity when the ER-2 aircraft overflew Railroad Valley on August 13 and 15, 2019. Surface reflectances were available from the August 4, 2019 field team and from the Radiometric Calibration Network (RadCalNet) portal, and spectral aerosol optical depths from an on-site AERosol RObotic NETwork (AERONET) sunphotometer. The Enhanced MODIS Airborne Simulator (eMAS), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), and the ``Classic'' Airborne Visible/Infrared Imaging Spectrometer (AVIRIS-C) sensors individually performed a vicarious calibration using their respective methodologies and selection of input parameters. A comparison of the at-sensor radiances predicted from these independent analyses highlights some of the uncertainties in the inputs, including choice of solar irradiance model. Although good agreement, within 5%, is found at visible wavelengths, difference can be as large as 15% in the shortwave infrared (SWIR). This highlights the need for the remote sensing community to agree upon a standard solar model, to remove sensor-to-sensor biases derived from in-flight calibrations.
NoteOpen access article
VersionFinal published version
SponsorsNational Aeronautics and Space Administration
Except where otherwise noted, this item's license is described as Copyright © The Author(s). This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.