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Proceedings Paper

Removing long-term errors from AVHRR-based brightness temperature (BT)
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Paper Abstract

Empirical distribution functions were applied for removing long-term errors from BT data derived from AVHRR sensor on NOAA environmental satellites. This paper investigates BT stability in the NOAA/NESDIS Global Vegetation Index (GVI) data set during 1982-2003. This period includes five NOAA satellites. Degradation of BT over time for each satellite was estimated for geographical location in China. The method of matching empirical distribution function (EDF) improves the time relative stability of BT data for all satellites, especially NOAA-9, -11 and -14.

Paper Details

Date Published: 22 February 2008
PDF: 12 pages
Proc. SPIE 6749, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII, 674917 (22 February 2008); doi: 10.1117/12.737507
Show Author Affiliations
Mohammed Z. Rahman, City College/CUNY (United States)
Leonid Roytman, City College/CUNY (United States)
Felix Kogan, National Oceanic and Atmospheric Administration (United States)


Published in SPIE Proceedings Vol. 6749:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII
Manfred Ehlers; Ulrich Michel, Editor(s)

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