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Regression of Surface Spectral Emissivity From Hyperspectral Instruments.

Authors :
Lihang Zhou
Goldberg, Mitchell
Barnet, Chris
Zhaohui Cheng
Fengying Sun
Wolf, Walter
King, Thomas
Xingpin Liu
Haibing Sun
Divakarla, Murty
Source :
IEEE Transactions on Geoscience & Remote Sensing; Feb2008, Vol. 46 Issue 2, p328-333, 6p, 1 Black and White Photograph, 1 Chart, 1 Graph
Publication Year :
2008

Abstract

The operational Atmospheric Infrared Sounder (AIRS) emissivity retrieval uses a National Oceanic and Atmospheric Administration (NOAA) regression emissivity product as a first guess for its retrieval over land. The NOAA approach is based on clear radiances that are simulated from the European Centre for Medium-Range Weather Forecasting forecast and a surface emissivity training data set. The same approach has also been applied to simulated Infrared Atmospheric Sounding Interferometer (lASI) data. Resulted emissivity spectra and maps derived from AIRS and IASI will be presented and discussed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01962892
Volume :
46
Issue :
2
Database :
Complementary Index
Journal :
IEEE Transactions on Geoscience & Remote Sensing
Publication Type :
Academic Journal
Accession number :
29434066
Full Text :
https://doi.org/10.1109/TGRS.2007.912712