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GOES-16 ABI solar reflective channel validation for earth science application.

Authors :
McCorkel, Joel
Efremova, Boryana
Hair, Jason
Andrade, Marcos
Holben, Brent
Source :
Remote Sensing of Environment. Feb2020, Vol. 237, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

This paper presents the validation results of GOES-16 Satellite's Advanced Baseline Imager (ABI) obtained from a reflectance-based field campaign undertaken at the Salar de Uyuni in Bolivia in June 2017. In situ ground measurements are used to characterize the surface reflectance and the atmosphere in order to constrain the radiative transfer code and predict at-sensor reflectance (also referred to as top-of-atmosphere (TOA) reflectance) to compare with concurrent GOES-16 ABI measurements. The five-day field campaign provided repeated TOA reflectance estimates, allowing assessment not only of the calibration accuracy of the ABI reflective channels 1, 2, 3, 5 and 6, but also of its stability over the duration of the campaign. The results show that the accuracy of the ABI reflective channels calibration is within specification for channels 1, 3, 5, and 6 - average biases within 2%; for channel 2 the bias is 5%. The estimated uncertainty on the derived biases is 2–2.4%. Some calibration stability issues were present in the ABI calibration at the time of the campaign: (i) a jump on the order of 2% in channels 1 and 6, coincident with an ABI solar calibration event, reflects an instability of the ABI gains in these channels, and (ii) short-term variability in channels 1 and 2 is due to striping (ABI detector-to-detector calibration differences). Continued validation and subsequent reprocessing of ABI reflectance imagery would allow Earth scientists to fully benefit from the high spatial and spectral fidelity of the GOES-16 ABI diurnal measurements at the continental scale. • Independent validation of GOES-16 ABI solar channel top-of-atmosphere reflectance. • ABI imagery stability assessment shows reprocessing may be beneficial. • Salar de Uyuni reflectance and atmospheric characterization for sensor validation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00344257
Volume :
237
Database :
Academic Search Index
Journal :
Remote Sensing of Environment
Publication Type :
Academic Journal
Accession number :
141456707
Full Text :
https://doi.org/10.1016/j.rse.2019.111438