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Proceedings Paper

Improving stability of NDVI data for NOAA environmental satellite
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Paper Abstract

Empirical distribution functions were applied for improving stability of NDVI data for NOAA environmental satellites. This paper investigates NDVI stability in the NOAA/NESDIS Global Vegetation Index (GVI) data set during 1982- 2003, in the period, which includes five NOAA series satellites. Degradation of NDVI over time and NDVI's shifts between the satellites were estimated for geographical location in China. The method of matching empirical distribution functions improves the time relative stability of NDVI data for all satellites, especially NOAA-9, -11 and -14.

Paper Details

Date Published: 12 December 2006
PDF: 12 pages
Proc. SPIE 6412, Disaster Forewarning Diagnostic Methods and Management, 641217 (12 December 2006); doi: 10.1117/12.694270
Show Author Affiliations
Mohammed Z. Rahman, City College, CUNY (United States)
Leonid Roytman, City College, CUNY (United States)


Published in SPIE Proceedings Vol. 6412:
Disaster Forewarning Diagnostic Methods and Management
Felix Kogan; Shahid Habib; V. S. Hegde; Masashi Matsuoka, Editor(s)

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