Chairs: Dr. Yadu Pokhrel, Michigan State University, Department of Civil and Environmental Engineering, East Lansing, MI, United States, Iliana E Mladenova, USDA/ARS BARC-W, Bldg 007, Beltsville, MD, United States, Venkataraman Lakshmi, University of Virginia, Civil and Environmental Engineering, Charlottesville, VA, United States and Bridget R Scanlon, University of Texas at Austin, Bureau of Economic Geology, Jackson School of Geosciences, Austin, United States
Primary Convener: Iliana E Mladenova, USDA/ARS BARC-W, Bldg 007, Beltsville, MD, United States
Co-conveners: Venkataraman Lakshmi, University of Virginia, Civil and Environmental Engineering, Charlottesville, VA, United States, Dr. Yadu Pokhrel, Michigan State University, Department of Civil and Environmental Engineering, East Lansing, MI, United States and Bridget R Scanlon, University of Texas at Austin, Bureau of Economic Geology, Jackson School of Geosciences, Austin, United States
OSPA Liaison: Iliana E Mladenova, USDA/ARS BARC-W, Bldg 007, Beltsville, MD, United States
Inter-Comparison of Soil Moisture Data Products from Satellite Remote Sensing and Land Surface Modeling (9431)
Li Fang, Earth System Science Interdisciplinary Center, College PARK, United States, Christopher Hain, NASA Marshall Space Flight Center, Huntsville, AL, United States, Xiwu Zhan, NOAA/NESDIS/STAR, Riverdale Park, MD, United States, Jicheng Liu, NOAA/NESDIS/STAR, College Park, United States and Martha Anderson, USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, United States
Soil Moisture Retrieval from Active/Passive Microwave Observation Synergy Using a Neural Network Approach (9333)
Jana Kolassa1, Pierre Gentine2, Filipe Aires3,4 and Catherine Prigent4,5, (1)Science Systems and Applications, Inc., Lanham, United States, (2)Columbia University, Department of Earth and Environmental Engineering, New York, United States, (3)Estellus S.A.S., Paris, France, (4)Columbia University, New York, NY, United States, (5)Observatoire de Paris-Meudon, Paris, France
Remote Sensing of Soil Water Storage Capacity Using the Landsat and MODIS Image Archives (28465)
Jan M H Hendrickx1, Todd Umstot2, John L Wilson3, Rick Allen4 and Ricardo Trezza4, (1)New Mexico Inst Mining & Tech, Socorro, NM, United States, (2)Daniel B Stephens & Assoc Inc, Albuquerque, NM, United States, (3)New Mexico Tech, Socorro, NM, United States, (4)University of Idaho, Department of Biological and Agricultural Engineering, Moscow, ID, United States
Modeling the hydrological patterns on Pantanal wetlands, Brazil (25489)
Aline Anderson Castro1, Adriana Cuartas1, Michael Thomas Coe2, Adriana Koumrouyan1, Prajjwal K Panday2, Paul Lefebvre2, Carlos Padovani3, Marcos Heil Costa4 and Gilvan Sampaio de Oliveira1, (1)INPE National Institute for Space Research, Sao Jose dos Campos, Brazil, (2)Woods Hole Research Center, Falmouth, MA, United States, (3)EMBRAPA Pantanal, Corumbá, Brazil, (4)UFV Federal University of Vicosa, Vicosa, Brazil
Streamflow model of the six-country transboundary Ganges-Bhramaputra and Meghna river basin (19589)
Kazi Rahman, Stanford University, Environmental Earth System Science, Stanford, CA, United States, Anthony Lehmann, University of Geneva, Environmental Science, Geneva, Switzerland, P James Dennedy-Frank, Northeastern University, Marine and Environmental Sciences, Coastal Sustainability Institute, Boston, MA, United States, Steven M Gorelick, Stanford University, Stanford Woods Institute for the Environment, Stanford, United States and Hydrology