Abstract
This paper reports some preliminary results about the relationship between regional surface water status and the slope of the Vegetation Index-Surface Temperature scattergrams derived from the 1992 daily Pathfinder dataset extracted over the Sudano-Sahelian zone (10° to 20°N, −20° to 40°E). Accordingly, this paper focuses mainly on the methodological aspects of an automated approach defining the NDVI-T s Slope Index (NTSI) . Various mesoscale ground data are now needed to infer the exact signification of NTSI, but a qualitative analysis of the spatial and temporal variations of NTSI, NDVI and T s seems to confirm the NTSI sensitivity to surface water status. The methodology was also tested against rainfall data collected randomly across 10 different bioclimatic regions. Total annual rainfall (ranging from 140 to 1000 mm/year) correlate strongly to cumulative NTSI ( R 2=0.98, standard error of estimates=44 mm), which suggests that the method could be used for rainfall monitoring in the Sahel.
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