DocumentCode :
1038365
Title :
Regression of Surface Spectral Emissivity From Hyperspectral Instruments
Author :
Zhou, Lihang ; Goldberg, Mitchell ; Barnet, Chris ; Cheng, Zhaohui ; Sun, Fengying ; Wolf, Walter ; King, Thomas ; Liu, Xingpin ; Sun, Haibing ; Divakarla, Murty
Author_Institution :
Perot Syst. Gov. Services, Fairfax, VA
Volume :
46
Issue :
2
fYear :
2008
Firstpage :
328
Lastpage :
333
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 (IASI) data. Resulted emissivity spectra and maps derived from AIRS and IASI will be presented and discussed.
Keywords :
geophysical signal processing; geophysical techniques; regression analysis; spectral analysis; AIRS emissivity retrieval; Atmospheric Infrared Sounder; European Centre for Medium-Range Weather Forecasting; IASI data; Infrared Atmospheric Sounding Interferometer; NOAA regression emissivity product; National Oceanic and Atmospheric Administration; hyperspectral instruments; surface spectral emissivity regression; Atmospheric modeling; Hyperspectral imaging; Infrared spectra; Instruments; Predictive models; Satellites; Sea surface; Sun; Training data; Weather forecasting; Atmospheric Infrared Sounder (AIRS); Infrared Atmospheric Sounding Interferometer (IASI); high spectral instrument; infrared; surface emissivity;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2007.912712
Filename :
4432717
Link To Document :
بازگشت