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

Mohammed Z. Rahman; Leonid Roytman; Felix Kogan

doi:10.1117/12.737507

22 February 2008 Removing long-term errors from AVHRR-based brightness temperature (BT)

Mohammed Z. Rahman, Leonid Roytman, Felix Kogan

Proceedings Volume 6749, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII; 674917 (2008) https://doi.org/10.1117/12.737507
Event: SPIE Remote Sensing, 2007, Florence, Italy

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.

Citation Download Citation

Mohammed Z. Rahman, Leonid Roytman, and Felix Kogan "Removing long-term errors from AVHRR-based brightness temperature (BT)", Proc. SPIE 6749, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII, 674917 (22 February 2008); https://doi.org/10.1117/12.737507

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