Using Remotely Sensed Data to Estimate Runoffby David P. Alexander, Rural Water Commission, Aust,
A. Ramachandra Rao, Rural Water Commission, Aust,
Abstract: The paper reports on a study to conduct numerical experiments to simulate runoff from watersheds by using remotely sensed data and hydrologic models. Data from the Sugar Creek Watershed in Indiana and the HEC-1 program are used in the study. Satellite digital data are analyzed to produce a land cover classification of the watershed more efficiently and cost effectively than conventional methods such as by interpretation of aerial photographs. A Geographic Information System (GIS) is created to store the spatial data required to compute the hydrologic parameters. Hydrologic parameters are estimated by using the computer program HYDPAR for input to the HEC-1 model.
Subject Headings: Watersheds | Geographic information systems | Remote sensing | Runoff | Information systems | Hydrologic models | Numerical models | Data processing | Hydrologic data | Computer models | North America | United States | Indiana
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