DocumentCode
1308747
Title
Spectral Reflectance Corrections for Satellite Intercalibrations Using SCIAMACHY Data
Author
Doelling, David R. ; Lukashin, Constantine ; Minnis, Patrick ; Scarino, Benjamin ; Morstad, Daniel
Author_Institution
Langley Res. Center, Nat. Aeronaut. & Space Adm., Hampton, VA, USA
Volume
9
Issue
1
fYear
2012
Firstpage
119
Lastpage
123
Abstract
High-resolution spectra measured by the ENVISAT SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY (SCIAMACHY) are used to develop spectral correction factors for satellite imager solar channels to improve the transfer of calibrations from one imager to another. SCIAMACHY spectra averaged for various scene types demonstrate the dependence of reflectance on imager spectral response functions. Pseudo imager radiances were computed separately over land and water from SCIAMACHY pixel spectra taken over two tropical domains. Spectral correction factors were computed from these pseudo imager radiance pairs. Intercalibrations performed using matched 12th Geostationary Operational Environmental Satellite and Terra MODerate-resolution Imaging Spectroradiometer (MODIS) visible ( ~ 0.65 μm) channel data over the same domains yielded ocean and land calibration gain and offset differences of 4.5% and 41%, respectively. Applying the spectral correction factors reduces the gain and offset differences to 0.1% and 3.8%, respectively, for free linear regression. Forcing the regression to use the known offset count reduces the land-ocean radiance differences to 0.3% or less. Similar difference reductions were found for matched MODIS and Meteosat-8 Spinning Enhanced Visible and Infrared Imager channel 2 ( ~ 0.86 μm ). The results demonstrate that SCIAMACHY-based spectral corrections can be used to significantly improve the transfer of calibration between any pair of imagers measuring reflected solar radiances under similar viewing and illumination conditions.
Keywords
calibration; cartography; geophysical image processing; image resolution; infrared imaging; radiometry; regression analysis; spectral analysis; terrain mapping; ENVISAT scanning imaging absorption spectrometer for atmospheric cartography; Meteosat-8 spinning enhanced infrared imager channel; Meteosat-8 spinning enhanced visible imager channel; SCIAMACHY data; SCIAMACHY pixel spectra; SCIAMACHY spectra analysis; Terra Moderate-resolution Imaging Spectroradiometer; geostationary operational environmental satellite; high-resolution spectra measurement; imager spectral response functions; land calibration gain analysis; land-ocean radiance analysis; linear regression method; pseudoimage radiance computation method; satellite imager solar channel; satellite intercalibration process; spectral reflectance correction method; Atmospheric measurements; Calibration; Clouds; MODIS; Oceans; Satellites; Sea measurements; Calibrations; SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY (SCIAMACHY); satellites; spectral response;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2011.2161751
Filename
6003758
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