Soil Moisture Active Passive Data (SMAP)
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Published Research (Validation Data)
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Lee, J; Park, S; Im, J; Yoo, C; Seo, E (2022) Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning JOURNAL OF HYDROLOGY 609 doi: 10.1016/j.jhydrol.2022.127749
Wu, XL; Walker, JP; Jonard, F; Ye, N (2022) Inter-Comparison of Proximal Near-Surface Soil Moisture Measurement Techniques IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 15 2370-2378, doi: 10.1109/JSTARS.2022.3156878
Wang, Z; Zhao, TJ; Qiu, JX; Zhao, XS; Li, R; Wang, S (2021) Microwave-based vegetation descriptors in the parameterization of water cloud model at L-band for soil moisture retrieval over croplands GISCIENCE & REMOTE SENSING 58 (1) 48-67, doi: 10.1080/15481603.2020.1857123
Ye, N; Walker, JP; Wu, XL; de Jeu, R; Gao, Y; Jackson, TJ; Jonard, F; Kim, E; Merlin, O; Pauwels, VRN; Renzullo, LJ; Rudiger, C; Sabaghy, S; von Hebel, C; Yueh, SH; Zhu, LJ (2021) The Soil Moisture Active Passive Experiments: Validation of the SMAP Products in Australia IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 59 (4) 2922-2939, doi: 10.1109/TGRS.2020.3007371
Shi, HT; Lopez-Sanchez, JM; Yang, J; Li, PX; Zhao, LL; Zhao, JQ (2021) Contribution of Polarimetry and Multi-Incidence to Soil Moisture Estimation Over Agricultural Fields Based on Time Series of L-Band SAR Data IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 14 300-313, doi: 10.1109/JSTARS.2020.3036732
Park, CH; Berg, A; Cosh, MH; Colliander, A; Behrendt, A; Manns, H; Hong, J; Lee, J; Zhang, RZ; Wulfmeyer, V (2021) An inverse dielectric mixing model at 50 MHz that considers soil organic carbon HYDROLOGY AND EARTH SYSTEM SCIENCES 25 (12) 6407-6420, doi: 10.5194/hess-25-6407-2021
Judge, J; Liu, PW; Monsivais-Huertero, A; Bongiovanni, T; Chakrabarti, S; Steele-Dunne, SC; Preston, D; Allen, S; Bermejo, JP; Rush, P; DeRoo, R; Colliander, A; Cosh, M (2021) Impact of vegetation water content information on soil moisture retrievals in agricultural regions: An analysis based on the SMAPVEX16-MicroWEX dataset REMOTE SENSING OF ENVIRONMENT 265 doi: 10.1016/j.rse.2021.112623