A web-based GIS Decision Support System for managing and planning USDA's Conservation Reserve Program (CRP) |
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| Affiliation: | 1. Department of Geography, Oklahoma State University, Stillwater, OK 74078, USA;2. School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK 74078, USA;3. Department of Computer Science, Oklahoma State University, Stillwater, OK 74078, USA;1. Centre for Environmental Economics & Policy (CEEP), School of Agricultural & Resource Economics (SARE), The University of Western Australia (UWA), M089, 35 Stirling Hwy, Crawley, WA 6009, Australia;2. Tasmanian School of Business and Economics, University of Tasmania, Private Bag 85, Hobart, TAS 7001, Australia;1. Department of Public Administration, North Carolina State University, Raleigh, NC 27695, United States;2. Department of Forestry, Mississippi State University, Mississippi State, MS 39762, United States;1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China;2. Hubei Province Engineering Center for Intelligent Geoprocessing, Wuhan University, Wuhan, China;3. Collaborative Innovation Center of Geospatial Technology, 129 Luoyu Road, Wuhan, Hubei, 430079, China;4. Italian Space Agency (ASI), Via del Politecnico snc, 00133, Rome, Italy;1. Operations and Supply Chain Management, National Institute of Industrial Engineering (NITIE), Mumbai 400087, India;2. School of Business and Public Administration, California State University, Bakersfield, 9001 Stockdale Highway, 20BDC/140, Bakersfield, CA 93311-1022, USA |
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| Abstract: | The Conservation Reserve Program (CRP) is one of the largest programs of the U.S. Department of Agriculture (USDA) aimed at encouraging farmers and ranchers to address soil, water, and related natural resource issues on their lands in an environmentally sustainable manner. This paper outlines the design and development of a prototype web-GIS Decision Support System (DSS), CRP-DSS, for use in resource management and assessment of environmental quality. Specifically, the DSS is targeted toward aiding USDA to better manage and plan CRP enrollments. The DSS is based on the emerging industry-standard ArcIMS GIS platform and integrates a mapping component AFIRS (Automated Feature Information Retrieval System) and a modeling component SWAT (Soil and Water Assessment Tool). Our novel integrated web-GIS DSS is implemented using web server and Java Servlet technology over an ArcIMS platform to support data access and processing in a distributed environment. AFIRS functions as a feature extraction protocol that uses multisource geospatial data sets and SWAT serves to simulate long-term trends of soil and water quality. The prototype DSS was applied to simulate the sediment and nutrient dynamics of a small watershed in the Oklahoma Panhandle. We intend to develop the prototype CRP-DSS into a full-fledged tool geared to enable USDA better manage and plan future CRP enrollments. |
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