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A Method to Derive the Multispectral Surface Albedo Consistent with MODIS from Historical AVHRR and VGT Satellite Data.

Authors :
Trishchenko, Alexander P.
Yi Luo
Khlopenkov, Konstantin V.
Shusen Wang
Source :
Journal of Applied Meteorology & Climatology; Apr2008, Vol. 47 Issue 4, p1199-1221, 23p, 3 Charts, 7 Graphs, 4 Maps
Publication Year :
2008

Abstract

Multispectral surface albedo and bidirectional properties are required for accurate determination of the surface and atmosphere solar radiation budget. A method is developed here to obtain time series of these surface characteristics consistent with the Moderate Resolution Imaging Spectroradiometer (MODIS) using historical satellite observations with limited spectral coverage available from NOAA Advanced Very High Resolution Radiometer (AVHRR) and VEGETATION/Satellite pour l’Observation de la Terre (SPOT). A nonlinear regression model was developed that relates retrievals from four spectral channels of VEGETATION/SPOT or three spectral channels of NOAA AVHRR with retrieval from each of the seven MODIS channels designed for land applications. The model also takes into account the surface land cover type, the normalized difference vegetation index, and the seasonal cycle. It was applied to generate surface albedo and bidirectional parameters of the seven MODIS-like spectral channels at a 10-day interval for the 1995–2004 period over the U.S. southern Great Plains. The relative retrieval accuracy for the MODIS channels replicated from AVHRR or VEGETATION/SPOT data was typically better than 5%. Correlation coefficients between replicated and original data varied from 0.92 to 0.98 for all channels except MODIS channel 5, where it was lower (0.77–0.84). The developed method provides valuable information for parameterization of spectral albedo in global climate models and can be extended to generate global multispectral data compatible with MODIS from historical AVHRR and VEGETATION/SPOT observations for the pre-MODIS era. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15588424
Volume :
47
Issue :
4
Database :
Complementary Index
Journal :
Journal of Applied Meteorology & Climatology
Publication Type :
Academic Journal
Accession number :
32095442
Full Text :
https://doi.org/10.1175/2007JAMC1724.1