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Synergism between NOAA-AVHRR and Meteosat data for studying vegetation development in semi-arid West AfricaRainfall estimates, based on cold cloud duration estimated from Meteosat data, are compared with vegetation development depicted by data of the normalized difference vegetation index (NDVI) from the NOAA AVHRR for part of the Sahel. Decadal data from the 1985 and 1986 growing seasons are examined to determine the synergism of the datasets for rangeland monitoring. There is a general correspondence between the two datasets with a marked lag between rainfall and NDVI of between 10 and 20 days. This time lag is particularly noticeable at the beginning of the rainy season and in the more northern areas where rainfall is the limiting factor for growth. Principal component analysis was used to examine deviations from the general relationship between rainfall and the NDVI. Areas of low NDVI values for a given input of rainfall were identified: at a regional scale, they give an indication o areas of low production potential and possible degradation of ecosystems.
Document ID
19910056472
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Justice, C. O.
(Maryland, University College Park, United States)
Dugdale, G.
(Maryland Univ. College Park, MD, United States)
Narracott, A. S.
(Reading, University United Kingdom)
Townshend, J. R. G.
(NERC Reading, United Kingdom)
Kumar, M.
(University of South Pacific Suva, Fiji)
Date Acquired
August 15, 2013
Publication Date
June 1, 1991
Publication Information
Publication: International Journal of Remote Sensing
Volume: 12
ISSN: 0143-1161
Subject Category
Meteorology And Climatology
Accession Number
91A41095
Funding Number(s)
CONTRACT_GRANT: NERC-F60/G6/12
CONTRACT_GRANT: NAG5-942
Distribution Limits
Public
Copyright
Other

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