A GIS framework for surface-layer soil moisture estimation combining satellite radar measurements and land surface modeling with soil physical property estimation |
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| Affiliation: | 1. U.S. Army Corps of Engineers, Engineering Research and Development Center, Topographic Engineering Center, 7701 Telegraph Rd, Alexandria, VA 22312, USA;2. University of Maryland – Baltimore County, NASA Goddard Space Flight Center, Code 614.3, Greenbelt, MD 20771, USA;3. NASA, NASA Goddard Space Flight Center, Code 614.3, Greenbelt, MD 20771, USA;4. USDA Agricultural Research Service, Walnut Gulch Experimental Watershed, Southwest Watershed Research Center, 2000 East Allen Rd., Tucson, AZ 85719, USA;5. Department of Renewable Resources, University of Wyoming, Box 3354, 1000 E. University Dr, Laramie, WY 82071, USA;1. Department of GIS and Remote Sensing, University of Tarbiat Modares, Tehran, Iran;2. Department of GIS Engineering, Faculty of Geodesy & Geometrics Engineering, K.N. Toosi University of Technology, Tehran, Iran;3. Diseases Affairs, Jonoob Health Center, Tehran University of Medical Science, Tehran, Iran;4. Faculty of Public Health and Health Promotion, Tehran University of Medical Science, Tehran, Iran;1. 136 PKI, Civil Engineering Dept., University of Nebraska-Lincoln, Omaha, NE 68182, USA;2. 205D PKI, Civil Engineering Dept., University of Nebraska-Lincoln, Omaha, NE 68182, USA;1. Department of Soil and Water, College of Resources and Environment, China Agricultural University, Beijing 100193, PR China;2. Department of Soil Science, University of Saskatchewan, Saskatoon, SK, S7N5A8 Canada;3. Department of Agronomy, Iowa State University Ames, IA 50011, USA;1. Department of Plant Sciences, University of California, Mail Stop One, One Shields Ave., Davis, CA 95616, USA;2. Marrone Bio Innovations, 2121 Second Street, Ste. B-107, Davis, CA 95618, USA;1. Department of Agricultural Machinery Engineering, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran;2. Department of Soil Science, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran;1. Department of Biomedical Engineering, Columbia University, 351 Engineering Terrace, 1210 Amsterdam Avenue, Mail Code: 8904, New York, NY 10027, USA;2. Department of Mechanical Engineering, Columbia University, 242 S. W. Mudd, 500 West 120th Street, Mail Code: 4703, New York, NY 10027, USA;3. Department of Orthopedic Surgery, Mount Sinai West, 1000 Tenth Avenue, New York, NY 10019, USA;4. Department of Orthopedic Surgery, Mount Sinai St. Luke׳s, 1111 Amsterdam Avenue, New York, NY 10025, USA;5. Department of Orthopaedic Surgery, University of Missouri, 1100 Virginia Avenue, DC953.000, Columbia, MO 65212, USA |
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| Abstract: | A GIS framework, the Army Remote Moisture System (ARMS), has been developed to link the Land Information System (LIS), a high performance land surface modeling and data assimilation system, with remotely sensed measurements of soil moisture to provide a high resolution estimation of soil moisture in the near surface. ARMS uses available soil (soil texture, porosity, Ksat), land cover (vegetation type, LAI, Fraction of Greenness), and atmospheric data (Albedo) in standardized vector and raster GIS data formats at multiple scales, in addition to climatological forcing data and precipitation. PEST (Parameter EStimation Tool) was integrated into the process to optimize soil porosity and saturated hydraulic conductivity (Ksat), using the remotely sensed measurements, in order to provide a more accurate estimate of the soil moisture. The modeling process is controlled by the user through a graphical interface developed as part of the ArcMap component of ESRI ArcGIS. |
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