H046
Earth System Science and Applications Based on NASA Soil Moisture Active Passive (SMAP) Satellite Mission Measurements

Session ID#: 158494

Session Description:
The NASA Soil Moisture Active Passive (SMAP) satellite mission was launched in early 2015 and now its record of global L-band radiometry spans over seven years. The measurements are used to estimate surface soil volumetric water content, freeze/thaw state, and vegetation optical depth, which is proportional to vegetation water content. Over the oceans, the data are used to estimate sea surface salinity and high wind speeds. Over land the soil moisture and vegetation water content dynamics capture water exchange in the soil-vegetation-atmosphere continuum. Global fields of land water, energy and carbon budgets are diagnosed with the SMAP data products. This session includes presentations on the use of SMAP data in Earth System science. It also includes examples of data use in applications such as agricultural yield assessments, drought monitoring, wildfires hazards estimation and flood inundation mapping.
Co-Organized:
  • A - Atmospheric Sciences
Index Terms:

1855 Remote sensing [HYDROLOGY]
1866 Soil moisture [HYDROLOGY]
3322 Land/atmosphere interactions [ATMOSPHERIC PROCESSES]
3360 Remote sensing [ATMOSPHERIC PROCESSES]


Primary Convener:  Dara Entekhabi, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, United States
Conveners:  Simon H Yueh, JPL, Pasadena, CA, United States, Rajat Bindlish, Goddard Earth Sciences Technology and Research, Greenbelt, United States, Jared Keith Entin, NASA HQ - SMD, Washington, DC, United States and Mark Garcia, JPL/CalTech, Pasadena, CA, United States
 
A novel method to estimate vegetation optical depth from SMAP brightness temperatures (1044600)
Preethi Konkathi and Karthikeyan Lanka, Indian Institute of Technology Bombay, Mumbai, India
 
Characterizing the 2019-2021 Drought in La Plata River Basin with GLDAS and SMAP (1051725)
Jessica Besnier, University of Virginia, Charlottesville, VA, United States, Augusto Getirana, NASA Goddard Space Flight Center, Greenbelt, United States, Hiroko K Beaudoing, SAIC, Greenbelt, MD, United States and Venkataraman (Venkat) Lakshmi, University of Virginia, Engineering Systems and Environment, Charlottesville, United States
 
Passive Microwave Retrieval of Soil Moisture below Snowpack at L-band using SMAP Observations (1067051)
Divya Kumawat1,2, Mohammadali Olyaei1,2, Lun Gao3 and Ardeshir Ebtehaj1,2, (1)University of Minnesota Twin Cities, Minneapolis, United States, (2)St. Anthony Falls Laboratory, Department of Civil Environmental and Geo- Engineering, Minneapolis, United States, (3)University of Illinois at Urbana-Champaign, Institute for Sustainability, Energy, and Environment (iSEE), Urbana, United States
 
A Retrieval Algorithm of Vegetation Water Content and Soil Surface Emissivity --- Theory and Application of Maximum Entropy Production (MEP) Method (1081956)
Jingfeng Wang, Georgia Institute of Technology Main Campus, Atlanta, GA, United States, Kyeungwoo Cho, Georgia Institute of Technology Main Campus, Civil and Environmental Engineering, Atlanta, United States, Robinson I Negron Juarez, Lawrence Berkeley Natl Lab, Berkeley, CA, United States and Andreas Colliander, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
A sensitivity analysis of the SMAP SCA algorithm for soil moisture retrieval over the Amazon (1082044)
Kyeungwoo Cho1, Robinson I Negron Juarez2, Andreas Colliander3, Eric Cosio4, Norma Salinas4, Alessandro C De Araujo5 and Jingfeng Wang6, (1)Georgia Institute of Technology Main Campus, Civil and Environmental Engineering, Atlanta, United States, (2)Lawrence Berkeley Natl Lab, Berkeley, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)Pontifical Catholic University of Peru, Instituto de Ciencias de la Naturaleza, Territorio y Energía, Lima, Peru, (5)Brazilian Agricultural Research Corporation (EMBRAPA), Belem, PA, Brazil, (6)GA Ins of Tech-Civil & Env Eng, Atlanta, GA, United States
 
SMAP Soil Moisture Estimation Based on Deep Neural Networks (1089623)
Lun Gao, University of Illinois at Urbana-Champaign, Institute for Sustainability, Energy, and Environment (iSEE), Urbana, United States, Qiang Gao, St. Anthony Falls Laboratory & University of Minnesota, Department of Mechanical Engineering, Minneapolis, MN, United States, Hankui Zhang, South Dakotat State University, Department of Geography and Geospatial Sciences, and Geospatial Sciences Center of Excellence (GSCE), Brookings, United States, Xiaojun Li, Inrae, Bordeaux, France, Mario Chaubell, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Ardeshir Ebtehaj, Georgia Institute of Technology Main Campus, Atlanta, GA, United States, Lian Shen, St Anth Falls Hyd Lab, Minneapolis, MN, United States and Jean-Pierre Wigneron, INRAE Bordeaux-Aquitaine, Villenave d'Ornon Cedex, France
 
Assessing the Impact of SMAP Soil Moisture Data Assimilation on the Simulation and Prediction of Tropical Cyclone Idai (1089938)
Jana Kolassa1,2, Rolf H Reichle2, Manisha Ganeshan2,3, Erica L McGrath-Spangler2,4 and Oreste Reale1,2, (1)Science Systems and Applications, Inc., Lanham, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)Morgan State University, Baltimore, MD, United States, (4)Morgan State University, Baltimore, United States
 
Exploring Patterns Between SMAP Soil Moisture and GPM Rainfall During Landslide Events in the Western US (1091880)
Jacquelyn C Witte, National Center for Atmospheric Research, Earth Observing Laboratory, Boulder, CO, United States, Elsa Culler, University of Colorado at Boulder, Civil, Environmental, and Architectural Engineering, Boulder, United States and Spencer K.D. Zeigler, University of Colorado Boulder, Department of Geological Sciences, Boulder, CO, United States
 
Validating SMAP Soil Moisture and Vegetation Optical Depth in Forests: Summary of Activities in 2022 (1098856)
Warren Helgason1, Andreas Colliander2, Michael H Cosh3, Aaron A Berg4, Sidharth Misra2, Jaison Thomas Ambadan Thomas5, Laura L Bourgeau-Chavez6, Vicky Kelly7, Simon Kraatz8, Paul Siqueira9, Alexandre Roy10, Ramata Magagi11, Tarendra Lakhankar12, Mehmet Ogut13, Mario Chaubell2, R. Scott Dunbar2, Jay Famiglietti14, Alexandra Konings15, Mehmet Kurum16, Dara Entekhabi17 and Simon H Yueh18, (1)University of Saskatchewan, Saskatoon, Canada, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (3)U. S. Dept. of Agriculture, Beltsville, MD, United States, (4)University of Guelph, Department of Geography, Environment and Geomatics, Guelph, ON, Canada, (5)University of Guelph, Guelph, ON, Canada, (6)Michigan Technological University, Michigan Tech Research Institute, Houghton, MI, United States, (7)Cary Institute of Ecosystem Studies, Millbrook, United States, (8)University of New Hampshire, Civil and Environmental Engineering, Durham, NH, United States, (9)University of Massachusetts, Amherst, Amherst, United States, (10)Université du Québec à Trois-Rivières, Centre de recherche sur les interactions bassins versants-écosystèmes aquatiques (RIVE), Trois-Rivières, QC, Canada, (11)Universite de Sherbrooke, Sherbrooke, QC, Canada, (12)NOAA CESSRST, City College of New York, New York, NY, United States, (13)Colorado State University, Microwave Systems Laboratory, Fort Collins, United States, (14)University of Saskatchewan, Global Institute for Water Security, Saskatoon, Canada, (15)Stanford University, Stanford, United States, (16)Mississippi State University, Mississippi State, MS, United States, (17)Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, United States, (18)JPL, Pasadena, CA, United States
 
Dynamic vegetation parameter retrieval algorithm using SMAP L-band brightness temperatures (1105661)
Preethi Konkathi and Karthikeyan Lanka, Indian Institute of Technology Bombay, Mumbai, India
 
The seasonal cycle of surface soil moisture: A global analysis (1114214)
Mason Stahl, Union College, Department of Geosciences, Schenectady, United States and Kaighin A Mccoll, Harvard University, Department of Earth and Planetary Sciences, Cambridge, United States
 
Soil Moisture Retrieval using Polarimetric GNSS-R from the SMAP-R Dataset (1117500)
Joan Francesc Munoz Martin, Nereida Rodriguez-Alvarez, Javier Bosch-Lluis and Kamal Oudrhiri, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Examining the Linkage Between Satellite-based Soil moisture and Integrated Groundwater-surface Water Modelling (1117514)
Aruna Kumar Nayak, University of Toronto at Mississauga, Department of Chemical and Physical Sciences, Mississauga, ON, Canada, Xiaoyong Xu, University of Toronto Mississauga, Department of Chemical and Physical Sciences, Mississauga, ON, Canada and Steven K. Frey, Aquanty, Waterloo, ON, Canada
 
Spatio-temporal Climatic and Hydrological Trends for Algerian Smallholder Agriculture Using Remotely Sensed Data (1122611)
Walid Ouaret1, K. Arthur Endsley2, Molly Elizabeth Brown3 and Jessica L McCarty1, (1)Geospatial Analysis Center, Department of Geography, Miami University, Oxford, United States, (2)University of Montana, Numerical Terradynamic Simulation Group, Missoula, MT, United States, (3)Department of Geographical Sciences, University of Maryland, Greenbelt, United States
 
Estimating Irrigation Amounts using SMAP Observations: Irrigation Impact on Crop Productivity in Energy and Water Limited Systems (1148823)
Mehmet Evren Soylu and Rafael L Bras, Georgia Institute of Technology, School of Civil and Environmental Engineering, Atlanta, United States
 
Initial Validation of 3km Downscaled SMAP/CYGNSS Soil Moisture (1151722)
Liza J Wernicke, University of Colorado Boulder, Geological Sciences, Boulder, CO, United States, Clara Chew, University Corporation for Atmospheric Research, Boulder, CO, United States and Eric E Small, University of Colorado at Boulder, Department of Geological Sciences, Boulder, United States
 
Vegetation and Forests Effects at L Band Based on Numerical Solutions of Maxwell Equations for SMAP Applications (1157531)
Ruoxing Gao1, Jongwoo Jeong1, Leung Tsang2, Weihui Gu1, Andreas Colliander3 and Simon H Yueh3, (1)University of Michigan Ann Arbor, Department of Electrical Engineering and Computer Science, Ann Arbor, United States, (2)University of Michigan Ann Arbor, Department of Electrical Engineering and Computer Science, Ann Arbor, MI, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Soil Moisture Active Passive (SMAP) data applications for hydro-climatic disaster monitoring in Uganda (1159878)
Jamiat Nanteza1, Geofrey Gabiri2, Saul Daniel Ddumba3, Alex Nimusiima3 and Denis Nseka3, (1)Makerere University, Geography Geo-Informatics and Climatic Sciences, Kampala, Uganda, (2)Kyambogo University, Geography, Kampala, Uganda, (3)Makerere University, Geography, Geo-Informatics and Climatic Sciences, Kampala, Uganda
 
Retrieving Runoff in Ungauged Basins using Satellite Observations of Rainfall and Soil Moisture (1164489)
Hyunglok Kim and Wade Crow, USDA ARS, Beltsville, United States
 
A global multitask deep learning soil moisture model for disaster management (1167128)
Jiangtao Liu1, Chaopeng Shen2, Kathryn Lawson1 and David Hughes3, (1)Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, PA, United States, (2)Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, United States, (3)Pennsylvania State University Main Campus, Department of Entomology, State College, United States
 
Short-term Prediction of Drought Evolution using SMAP (1169087)
Joshua K Roundy1, Payal Makhasana1, Patricia Lawston Parker2 and Joseph A Santanello Jr3, (1)University of Kansas, Department of Civil, Environmental, and Architectural Engineering, Lawrence, KS, United States, (2)NASA GSFC, Hydrological Science Laboratory, Greenbelt, MD, United States, (3)Hydrological Sciences Laboratory, NASA/GSFC, Greenbelt, MD, United States
 
Preliminary Assessment of Satellite Soil Moisture and SIF Observations and Exploring their Applications in Understanding Interactions between Terrestrial Water and Carbon Cycles (1180455)
Zhijiong Cao1, Yongkang Xue2, Haraprasad Nayak3, Ziwei Li4, Christian Frankenberg5 and Philipp Koehler5, (1)University of California, Los Angeles, Geography, Los Angeles, United States, (2)Univ California Los Angeles, Los Angeles, United States, (3)University of California, Los Angeles, los Angeles, United States, (4)University of California, Los Angeles, Los Angeles, United States, (5)NASA Jet Propulsion Laboratory, Pasadena, United States
 
Land Surface Influence on Convective Available Potential Energy (CAPE) Evolution During Drydowns (1199242)
Lily Zhang, University of Washington Seattle Campus, Atmospheric Sciences, Seattle, United States, Dara Entekhabi, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, United States and Dan Gianotti, Massachusetts Institute of Technology, Civil and Environmental Engineering, Cambridge, MA, United States
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