H002
Advancing Soil Moisture Science via Monitoring, Modeling, and Remote Sensing I

Monday, 7 December 2020: 04:00-05:00
Virtual
Primary Convener:  Michael H Cosh, USDA Agricultural Research Service New England Plant, Soil and Water Research Laboratory, East Wareham, MA, United States
Convener:  Todd G Caldwell, USGS Nevada Water Science Center, Carson City, NV, United States
Primary Liaison:  Michael H Cosh, U. S. Dept. of Agriculture, Beltsville, MD, United States
Chairs:  Michael H Cosh, U. S. Dept. of Agriculture, Beltsville, MD, United States and Todd G Caldwell, University of Texas at Austin, Jackson School of Geosciences, Austin, TX, United States
OSPA Liaison:  Michael H Cosh, U. S. Dept. of Agriculture, Beltsville, MD, United States
04:00
H002-01
A Land-Surface Heterogeneity Index to Classify Continental Scale Near-Surface Soil Moisture Dynamics (771473)
Nandita Gaur, University of Georgia, Crop and Soil Sciences, Athens, GA, United States, Brij Rokad, University of Georgia, Artificial Intelligence, Athens, GA, United States, Vinit Sehgal, Texas A&M University, College Station, TX, United States and Binayak Mohanty, Texas A&M University, Department of Biological and Agricultural Engineering, College Station, TX, United States
04:04
H002-02
A survey of global water temperature datasets and their applicability to passive remote sensing of soil moisture near inland/coastal water bodies (665882)
Runze Zhang1, Steven Chan2, Rajat Bindlish3 and Venkataraman (Venkat) Lakshmi1, (1)University of Virginia, Engineering Systems and Environment, Charlottesville, VA, United States, (2)Jet Propulsion Lab, Pasadena, CA, United States, (3)Goddard Earth Sciences Technology and Research, Greenbelt, MD, United States
04:08
H002-03
Comparisons of In Situ Ground Observations and Satellite Measurements of Soil Moisture Standardized Using a Consistent Method (665943)
Michael A Palecki, NOAA National Centers for Environmental Information, Asheville, NC, United States, Ronald Leeper, CICS-NC/NCSU, Asheville, NC, United States and Matthew Watts, NCSU, Asheville, NC, United States
04:12
H002-04
A long-term consistent soil moisture dataset based on machine learning and remote sensing (682151)
Olya Skulovich, Columbia University, Department of Earth and Environmental Engineering, New York, NY, United States and Pierre Gentine, Columbia University, Earth and Environmental Engineering, New York, NY, United States
04:16
H002-05
Looking beyond physical models and machine learning: Novel insights into soil moisture dynamics using multi-scale Big Data geostatistics (751116)
Binayak Mohanty and Dhruva Kathuria, Texas A&M University College Station, College Station, TX, United States
04:20
H002-06
Effects of Assimilating SMAP Soil Moisture Product on the Accuracy of Surface and Root Zone Soil Moisture as Represented by Noah-MP in the State of Texas (769570)
Farhad Hassani1, Yu Zhang1, Sujay V Kumar2 and Yonghwan Kwon2, (1)University of Texas at Arlington, Department of Civil Engineering, Arlington, TX, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States
04:24
H002-07
Hyper-resolution land surface modeling enables hydrologically consistent 30-m SMAP-based soil moisture retrievals over continental scales (708740)
Noemi Vergopolan1, Nathaniel W. Chaney2, Hylke Beck1, Ming Pan1, Sara Sadri3, Justin Sheffield4 and Eric F Wood1, (1)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (2)Duke University, Civil and Environmental Engineering, Durham, NC, United States, (3)Global Institute for Water Security, University of Saskatchewan, Saskatoon, Canada, (4)University of Southampton, Geography and Environment, Southampton, United Kingdom
04:28
H002-08
Soil Moisture Evolution in Hyper-arid Regions: A Comparison of InSAR, SAR, Microwave, Optical, and Data Assimilation Results in the Arabian Desert (750888)
Paula Burgi, Cornell University, Earth and Atmospheric Sciences, Ithaca, NY, United States and Rowena B Lohman, Cornell University, Ithaca, NY, United States
04:32
Discussion and Concluding Remarks
See more of: Hydrology
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