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Advancing NASA's AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards' Equation.

, , , , and . Remote Sensing, 9 (1): 17 (2017)

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Advancing NASA's AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards' Equation., , , , and . Remote Sensing, 9 (1): 17 (2017)Retrieving Root-Zone Soil Moisture Profile From P-Band Radar via Hybrid Global and Local Optimization., , and . IEEE Trans. Geosci. Remote. Sens., 58 (8): 5400-5408 (2020)Mapping Tree Canopy Cover and Canopy Height with L-Band SAR Using LiDAR Data and Random Forests., , , , and . IGARSS, page 4136-4139. IEEE, (2020)Assessment and Validation of AirMOSS P-Band Root-Zone Soil Moisture Products., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 58 (9): 6181-6196 (2020)Retrieval of Permafrost Active Layer Properties Using Time-Series P-Band Radar Observations., , and . IEEE Trans. Geosci. Remote. Sens., 57 (8): 6037-6054 (2019)P-Band Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order Polynomial: First AirMOSS Results., , , and . IEEE Trans. Geosci. Remote. Sens., 53 (2): 645-658 (2015)Potential of L-Band Radar for Retrieval of Canopy and Subcanopy Parameters of Boreal Forests., , and . IEEE Trans. Geosci. Remote. Sens., 50 (6): 2150-2160 (2012)A Versatile and Shelf-Stable Dielectric Coupling Medium for Microwave Imaging., , , , and . IEEE Trans. Biomed. Eng., 69 (8): 2701-2712 (2022)The Potential of Low-Frequency Polarimetric SAR Data for Soil Carbon Content Retrieval in the Arctic., , , , , , and . IGARSS, page 1589-1590. IEEE, (2023)VHF scattering model from multilayer mixed species forests on top of a multilayer rough ground., and . IGARSS, page 5526. IEEE, (2005)