Synergism between NOAA-AVHRR and Meteosat data for studying vegetation development in semi-arid West Africa |
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| Authors: | C. O. JUSTICE G. DUGDALE J. R. G. TOWNSHEND A. S. NARRACOTT M. KUMAR |
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| Affiliation: | 1. Geography Department , University of Maryland , College Park, Maryland, 20742, U.S.A;2. Meteorology Department , University of Reading , Berkshire, RG6 2AU, England;3. Geography Department , NERC Unit for Thematic Information Systems, University of Reading , Berkshire, RG6 2AU, England;4. Geography Department , University of Reading , Berkshire, RG6 2AU, England;5. School of Pure and Applied Science, University of the South Pacific , Box 1178, Suva, Fiji |
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| Abstract: | Abstract Rainfall 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 National Oceanic and Atmospheric Administration's (NOAA) advanced very high resolution radiometer (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 of areas of low production potential and possible degradation of ecosystems. This study demonstrates in a preliminary way the synergism of such datasets derived from satellite--borne sensors with coarse spatial resolution, which may provide new information for the improved management of the Sahelian grasslands. |
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