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Remote Sensing Input and Feedback for Hydrologic Forecasting and Simulation Models,
AGRICULTURAL RESEARCH SERVICE BELTSVILLE MD HYDROLOGY LAB
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New methods of remote sensing, such as microwave and thermal infrared, can give us information on the moisture status and temperature of the earths surface. With the present technology available to us, this type of new information cannot be used effectively for hydrologic forecasting. However, it appears that, coupled with adequate simulation models, these remote sensing data have the potential to greatly improve hydrologic forecasting and simulation accuracies. This paper discusses different forms of remote sensing, the status of current models to use these data, and what changes must be made to incorporate this promising new form of data. Author
APPROVED FOR PUBLIC RELEASE