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Session Proposal: Earth System Science and Applications Based on a Decade of NASA Soil Moisture Active Passive (SMAP) Satellite Mission Science Data Products (AGU25)

H060
Earth System Science and Applications Based on a Decade of NASA Soil Moisture Active Passive (SMAP) Satellite Mission Science Data Products

Session ID#: 249163

Session Description:
The NASA SMAP satellite mission has now produced over a decade of observations. The low-frequency microwave measurements have applications spanning global water cycle and surface hydrology, global ecology and plant water stress, land ice freeze/melt dynamics, sea ice edge thickness, and eddy-scale sea surface salinity dynamics. The SMAP surface soil moisture and vegetation optical depth products are used in drought monitoring, flooding hazards assessments and crop yield forecasting, as well wildfire research. New products synergistically incorporate measurements from other missions. For example, the newly released combined SMAP and Soil Moisture Ocean Salinity (SMOS) product is a nearly daily global mapping of surface soil moisture. The merged SMAP and Sentinel-1 C-band synthetic aperture radar (SAR) data are nearly global 1 and 3 kilometer mapping of surface soil moisture with 12 days or better revisit. In the coming year the SMAP project will produce merged products with the NISAR L-band SAR measurements.
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • B - Biogeosciences
  • C - Cryosphere
  • GC - Global Environmental Change
Index Terms:

1843 Land/atmosphere interactions [HYDROLOGY]
1852 Plant uptake [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1866 Soil moisture [HYDROLOGY]
Primary Convener:  Dara Entekhabi, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, United States
Conveners:  Simon H Yueh, JPL, Pasadena, United States, Mark Garcia, JPL/CalTech, Pasadena, CA, United States and Jared Keith Entin, NASA HQ - SMD, Washington, United States
Student/Early Career Convener:  Rajat Bindlish, NASA GSFC, Greenbelt, United States
 
Estimating Contrasting Soil Moisture-Precipitation Feedbacks Across Global Landmass Using Data from the Soil Moisture Active Passive Satellite Mission (1852663)
Joshua Taylor, Johns Hopkins University Applied Physics Laboratory, Laurel, United States and Guido Salvucci, Boston University, Earth and Environment, Boston, MA, United States
 
Remotely sensed freeze-thaw state from SMAP as a constraint on the modeled northern-hemisphere terrestrial carbon cycle (1855289)
K. Arthur Endsley, The University of Montana, Numerical Terradynamic Simulation Group, W.A. Franke College of Forestry and Conservation, Missoula, MT, United States, Christopher S Potter, NASA Ames Research Center, Moffett Field, CA, United States and Stephanie Pass, Bay Area Environmental Research Institute, Mountain View, United States
 
Deep Learning of Seasonal Peak Snow Water Content of Global Boreal Forest and Arctic using Spaceborne L-band Radiometry (1860201)
Divya Kumawat1,2, Ardeshir Ebtehaj2,3, Sujay V Kumar4 and Andreas Colliander5, (1)University of Minnesota Twin Cities, Minneapolis, MN, United States, (2)St. Anthony Falls Laboratory, Department of Civil Environmental and Geo- Engineering, Minneapolis, United States, (3)University of Minnesota Twin Cities, Minneapolis, United States, (4)NASA Goddard Space Flight Center, Greenbelt, United States, (5)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Nonlinearity in the Soil Moisture Loss Function Captures the Global Vegetation-Water Dynamics Under Water Stress (1895317)
Ryoko Araki, University of California Santa Barbara, Department of Geography, Santa Barbara, CA, United States; San Diego State University, Department of Geography, San Diego, United States, Bryn E. Morgan, Massachusetts Institute of Technology, Civil and Environmental Engineering, Cambridge, MA, United States, Hilary K McMillan, San Diego State University, Department of Geography, San Diego, CA, United States and Kelly K Caylor, University of California Santa Barbara, Department of Geography and Bren School of Environmental Science and Management, Santa Barbara, United States
 
Evaluating SMAP 400 m Soil Moisture Accuracy Across Diverse South Indian Micro-Watersheds: Insights from the REWARD Program (1911876)
Anjali P S1, Vaibhav Gupta2, Bin Fang3, Venkataraman (Venkat) Lakshmi3 and Sekhar Muddu4, (1)Indian Institute of Science, Civil Engineering, Bangalore, India, (2)Indian Institute of Science, Department of Civil Engineering, Bangalore, India, (3)University of Virginia, Civil and Environmental Engineering, Charlottesville, United States, (4)Indian Institute of Science, Department of Civil Engineering, Interdisciplinary Centre for Water Research, Indo-French Cell for Water Science, Bangalore, India
 
Radio Frequency Interference Trends as observed by the SMAP Radiometer (1914423)
Priscilla Naseem Mohammed-Tano, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Jeffrey R Piepmeier, ISTD, NASA/GSFC, Greenbelt, United States, Rajat Bindlish, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, United States and Loyd Perry, ASRC Federal – Agile Decision Sciences, Beltsville, United States
 
Performance and Validation of TEC Measurement from the SMAP L-band Microwave Radiometer (1915675)
Jinzheng Peng, Morgan State University, GESTAR II, Baltimore, United States; NASA GSFC, GESTAR II, Greenbelt, United States, Jeffrey R Piepmeier, ISTD, NASA/GSFC, Greenbelt, United States, Guiping Liu, NASA Goddard Space Flight Center, ITM Physics Laboratory, Greenbelt, MD, United States and Rajat Bindlish, NASA GSFC, Greenbelt, United States
 
Assessment of an AI-based model-free merging approach for producing continuous daily passive microwave-based soil moisture (1915691)
Hamza Ouatiki, Center for Remote Sensing Applications (CRSA), Mohammed VI Polytechnic University, Ben guerir, Morocco, Abdelghani Chehbouni, Center for Remote Sensing Applications (CRSA), Mohammed VI Polytechnic University (UM6P), Ben Guerir, Morocco, Chouaib El Hachimi, Research Centre for Artificial Intelligence in Geomatics (RCAIG), The Hong Kong Polytechnic Univeristy (PolyU), Kowloon, Hong Kong, Bouchra Ait Hssaine, Center for Remote Sensing Applications (CRSA), Mohammed VI Polytechnic University, Benguerir, Morocco and Dara Entekhabi, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, United States
 
A multi-decadal high-resolution soil water content product based on the SMAP climatology. (1915736)
Thomas Frederikse1, Arjan Geers2, Amber Mulder2, Anne de Nijs2 and Amber Mulder, (1)Planet Labs, San Francisco, CA, United States, (2)Planet Labs, San Francisco, United States
 
Global Shifts in Soil Moisture Dynamics Driven by Land Cover Change (1928291)
Runze Zhang, University of Idaho, Department of Earth and Spatial Sciences, Moscow, United States and Meng Zhao, University of Idaho, Moscow, ID, United States
 
SMAP-Informed Forecasting of Earthquake-Induced Landslides (1928655)
Ali Farahani and Majid Ghayoomi, University of New Hampshire Main Campus, Civil and Environmental Engineering, Durham, NH, United States
 
On the relationships between antecedent precipitation and soil moisture in inland watersheds (1948039)
Piyush Dahal, FAMU-FSU College of Engineering - Florida State University, Tallahassee, United States and Ebrahim Ahmadisharaf, Florida A&M University-Florida State University College of Engineering, Tallahassee, United States
 
A Multi-Sensor Framework To Generate Large Scale Spatio-temporal Vegetation Optical Depth Map for Ground-Based Validation of Spaceborne Missions (1957883)
Abesh Ghosh, Mohammad Ehsanul Hoque, Kaies Al Mahmud and Mehmet Kurum, University of Georgia, Electrical and Computer Engineering, Athens, United States
 
High-Fidelity Synthetic VOD Training Data: Enhancing Satellite Validation with a Physics-Based Radio Wave Propagation Model (1968011)
Mohammad Ehsanul Hoque1, Abesh Ghosh2 and Mehmet Kurum2, (1)University of Georgia, Electrical & Computer Engineering, Athens, GA, United States, (2)University of Georgia, Electrical and Computer Engineering, Athens, United States
 
Beyond Fluxes: Leveraging the Covariance of Soil Moisture and Diurnal Soil Temperature Range to Reveal Evapotranspiration Regime Dynamics (1968959)
Sandipan Paul, Indian Institute of Technology Bombay, Mumbai, India, Andrew Feldman, University of Maryland College Park, College Park, United States, Dr. Hsin Hsu, Princeton University, Princeton, NJ, United States, Preet Lal, Michigan State University, Civil and Environmental Engineering, East Lansing, MI, United States and Karthikeyan Lanka, Indian Institute of Technology Bombay, Center of Studies in Resource Engineering, Mumbai, India
 
SMAP to NISAR: Bridging Spatial and Temporal Scales for Heterogeneity-Informed “any scale” Soil Moisture Product (1971567)
Binayak Mohanty and Debasish Mishra, Texas A&M University College Station, College Station, TX, United States
 
Recent Advancement in SMAP Algorithm for High Resolution Soil Moisture (1975715)
Simon H Yueh1, Xiaolan Xu2, Huanting Huang3, Mario Chaubell4, Dara Entekhabi5, Tianlin Wang4 and Rajat Bindlish6, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Lab, Pasadena, United States, (3)JPL/Califoria Institution Technology, Pasadena, CA, UNITED STATES, (4)NASA Jet Propulsion Laboratory, Pasadena, United States, (5)Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, United States, (6)NASA GSFC, Greenbelt, United States
 
A Decade of SMAP Use and User Support at the NASA National Snow and Ice Data Center DAAC (1979702)
Amy Gilliland1, Lauren Herwehe2 and Lisa Booker2, (1)National Snow and Ice Data Center, Boulder, United States, (2)National Snow and Ice Data Center (NSIDC), CIRES, University of Colorado Boulder, Boulder, United States
 
Estimating Soil Moisture Memory Using Conditional and Marginal Distributions Derived using GPM and Validated with SMAP (1983096)
Takahiro Furuya1, Mehmet Evren Soylu2, Elisa Arnone3 and Rafael L Bras2, (1)Georgia Institute of Technology, East Point, Georgia, UNITED STATES, (2)Georgia Institute of Technology, School of Civil & Environmental Engineering, Atlanta, United States, (3)University of Udine, Polytechnic Department of Engineering and Architecture, Udine, Italy
 
An Analytical Approach for Joint Retrieval of Soil Moisture and Vegetation Parameters from SMAP Observations (1984713)
Jaese Lee, Ulsan National Institute of Science and Technology, Department of Civil, Urban, Earth, and Environmental Engineering, Ulsan, South Korea, Jungho Im, Ulsan National Institute of Science and Technology, Ulsan, South Korea, Chang-Hwan Park, Ajou University, Ajou University in Tashkent (AUT), Professor of Civil System Engineering, Suwon, South Korea and Hyunglok Kim, Gwangju Institute of Science and Technology (GIST), School of Environment and Energy Engineering, Gwangju, South Korea
 
Deep Learning-Based Radio Frequency Interference Detection for SMAP Radiometry Using Semi-Synthetic Time-Frequency Representations (1987452)
Ahmed Manavi Alam1, Mehmet Kurum2 and Ali Gurbuz1, (1)North Carolina State University, Electrical and Computer Engineering, Raleigh, United States, (2)University of Georgia, Electrical and Computer Engineering, Athens, United States
 
Enhancing Satellite VOD for Monitoring LFMC Dynamics (1991133)
Jinyang Du1,2 and Alexandra G Konings1, (1)Stanford University, Earth System Science, Stanford, United States, (2)University of Montana, Numerical Terradynamic Simulation Group, Missoula, United States
 
A Decade of SMAP Data Distribution at the NASA National Snow and Ice Data Center DAAC (1991717)
Lauren Herwehe, Elizabeth Jimenez, Saber Brasher, Amy Gilliland and Siri Jodha S Khalsa, National Snow and Ice Data Center, Boulder, United States
 
Comparing VOD from GNSS-T with Tower-Based Radiometry and Tree Water Status at the Plot Scale (1991888)
Konstantin Schellenberg1,2, Marvin Browne1, Thomas Jagdhuber3,4, Jeffrey D Wood5, Yitong Yao6, Christian Frankenberg7,8, Vincent Humphrey9, Jinyang Du1 and Alexandra G Konings1, (1)Stanford University, Earth System Science, Stanford, United States, (2)Max Planck Institute for Biogeochemistry, Biogeochemical Processes, Jena, Germany, (3)Institute of Geography, University of Augsburg, Augsburg, Germany, (4)Microwaves and Radar Institute, German Aerospace Center (DLR), Munich, Germany, (5)University of Missouri, School of Natural Resources, Columbia, United States, (6)Columbia University, Department of Earth and Environmental Engineering, New York, United States, (7)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (8)California Institute of Technology, Pasadena, United States, (9)MeteoSwiss Federal Office of Meteorology and Climatology, Zurich, Switzerland
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