Venkataraman Lakshmi
Department of Geological Sciences
University of South Carolina
LAND SURFACE HYDROLOGY AND REMOTE SENSING:
A STATISTICAL PERSPECTIVE
Global change has been closely aligned to changes in the terrestrial water
cycle. The common notion is that as a result of global warming, the land
surface water cycle is accelerating. Such an acceleration would have drastic
consequences. The purpose of my talk would be to (1) explain the land
surface hydrological cycle; (2) explain the use of satellite data for
inferring various geophysical variables in this cycle; (3) describe the use
of statistical descriptors for inferring various aspects in the water cycle.
The statistical descriptors would include (1) simple correlation and scatter
diagrams; (2) model comparisons with ground data; (3) use of data
assimilation in order to get better estimation of key hydrological
variables; and (4) temporal variability and spatial scaling.
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