Abstract
Normalized 18 GHz microwave brightness temperatures ( T B ) and a vegetation index were calculated from satellite radiometer data, and subsequently used in conjunction with climatically modeled surface moisture estimates to calibrate a simple physically based soil moisture model. Test sites within the U.S. Southern Great Plains were chosen for their range of climatic conditions from east to west. Normalized T B values correlated well with soil moisture when the data were segregated by vegetation index range, but less so when all data were combined. With the introduction of a vegetation index parameter, the model accounted for approximately 70% of the variability in modeled surface soil moisture. The model was validated with data from three separate test sites, with predicted moisture again accounting for 70% of the variability in the modeled surface moisture. The approach appears to be valid, at least for areas of arid or semiarid climatic conditions. These results are more encouraging than previous truck- or aircraft-mounted radiometers of similar frequency have indicated.
Published Version
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