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Using ENVISAT ASAR Global Mode Data for Surface Soil Moisture Retrieval Over Oklahoma, USA.

, , , , and . IEEE Trans. Geosci. Remote. Sens., 47 (2): 468-480 (2009)

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From Standard Weather Stations to Virtual Micro-Meteorological Towers in Ungauged Sites: Modeling Tool for Surface Energy Fluxes, Evapotranspiration, Soil Temperature, and Soil Moisture Estimations., , , , , , and . Remote. Sens., 13 (7): 1271 (2021)A Semiphysical Microwave Surface Emission Model for Soil Moisture Retrieval., , , , , and . IEEE Trans. Geosci. Remote. Sens., 53 (7): 4079-4090 (2015)Severe Weather Processes through Spatiotemporal Relational Random Forests., , , , , , , and . CIDU, page 213-227. NASA Ames Research Center, (2010)The SMAP in situ soil moisture sensor testbed: Comparing in situ sensors for satellite validation., , , and . IGARSS, page 699-701. IEEE, (2010)Comparing Evapotranspiration Products of Different Temporal and Spatial Scales in Native and Managed Prairie Pastures., , , , , , , , and . Remote. Sens., 13 (1): 82 (2021)An Analysis of Severe Hail Swaths in the Southern Plains of the United States., , , and . Trans. GIS, 11 (4): 531-554 (2007)Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning., , , , and . Mach. Learn., 95 (1): 27-50 (2014)Using spatiotemporal relational random forests to improve our understanding of severe weather processes., , , , , and . Stat. Anal. Data Min., 4 (4): 407-429 (2011)Using ENVISAT ASAR Global Mode Data for Surface Soil Moisture Retrieval Over Oklahoma, USA., , , , and . IEEE Trans. Geosci. Remote. Sens., 47 (2): 468-480 (2009)