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Title: THE DEVELOPMENT AND USE OF GIS COVERAGES FOR THE LITTLE WASHITA RIVER WATERSHED

Author
item Starks, Patrick
item Garbrecht, Jurgen
item SCHIEBE, F - USDA, ARS (RETIRED)
item SALISBURY, J - OKLAHOMA STATE UNIVERSITY
item WAITS, D - OKLAHOMA STATE UNIVERSITY

Submitted to: American Water Resources Association Conference Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 9/1/1996
Publication Date: N/A
Citation: N/A

Interpretive Summary: The Little Washita River Watershed (LWRW) in southcentral Oklahoma is the largest and one of the longest-studied research watersheds operated by the United States Department of Agriculture's Agricultural Research Service. A series of Geographical Information Systems data layers have been developed to support present and future ARS research on the LWRW and to complement the historical and current data bases. The selection of the GIS coverages was guided by hydrologic research needs and to support watershed modelling efforts. The coverages are grouped into three categories: topography, soils and landuse. The object of this paper is to present topics relating to the development and use of the three categories of GIS coverages. The selected topics address: 1) the development of hydrographic data layers from a Digital Elevation Model of the watershed); 2) reliability of the soil property data extracted from the soils coverage and county soil survey ydata; and 3) land use identification from LANDSAT satellite remotely sense data.

Technical Abstract: A Geographic Information System (GIS) data base for the Little Washita River Watershed (LWRW) was developed to support water resources research and watershed modeling efforts. The three basic categories of GIS coverages for this project are topography, soils and land use from which related GIS coverages are derived. This paper presents selected topics that address the development and use of these GIS coverages. The topics are the development of hydrographic data layers from the digital elevation model, the reliability of soil property data extracted from county soil surveys, and landuse identification and dynamics derived from LANDSAT satellite remotely sensed data. Problems that were encountered during the development of these coverages were resolved and a comprehensive GIS data base for the LWRW was produced.