Steven Klooster, California State Univ. The research study we propose is aimed at using these remote sensing data sets, together with other land surface data and simulation model predictions, to improve our understanding of the relationships between land surface hydrology, terrestrial production, and interannual climate variability. Satellite data sets will be analyzed together with historical climate data from weather station archives, plus regional maps of land cover and human use.
Vegetation cover can play a major role in regional hydrologic systems.
Comparison of seasonal NDVI over the central-eastern Amazon region from 1984 and 1988 for the 5 o latitude by 15 o longitude area centered on Manaus, Brazil. Effects of the strong 1983 ENSO event are detectable in the 1984 image as areas of comparatively low vegetation greenness. Compiled by V. Brooks at the NASA Ames Research Center. We will focus our studies on both meteorological drought and agricultural drought. Our approach is based on use of frequency distributions for spatially discriminated hydrologic response units as a method of up-scaling from the site level to the landscape and regional levels.