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Soil and Vegetation Scattering Contributions in L-Band and P-Band Polarimetric SAR Observations.

, , , and . IEEE Trans. Geosci. Remote. Sens., 57 (11): 8417-8429 (2019)

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Physically-based retrieval of SMAP active-passive measurements covariation and vegetation structure parameters., , , , , , , and . IGARSS, page 3078-3081. IEEE, (2016)Physics-Based Modeling of Active and Passive Microwave Covariations Over Vegetated Surfaces., , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (2): 788-802 (2019)Characterizing vegetation and soil parameters across different biomes using polarimetric P-band SAR measurements., , , and . IGARSS, page 5710-5712. IEEE, (2016)Merging Satellite Measurements of Rainfall Using Multi-scale Imagery Technique, and . CoRR, (2013)Soil and Vegetation Scattering Contributions in L-Band and P-Band Polarimetric SAR Observations., , , and . IEEE Trans. Geosci. Remote. Sens., 57 (11): 8417-8429 (2019)Accounting for Training Data Error in Machine Learning Applied to Earth Observations., , , , , , , , , and 10 other author(s). Remote. Sens., 12 (6): 1034 (2020)Statistical downscaling of remotely-sensed soil moisture., , , , and . IGARSS, page 2511-2514. IEEE, (2017)Remote Sensing of Complex Permittivity and Penetration Depth of Soils Using P-Band SAR Polarimetry., , , , , , , and . Remote. Sens., 14 (12): 2755 (2022)Surface Water Dynamics from Space: A Round Robin Intercomparison of Using Optical and SAR High-Resolution Satellite Observations for Regional Surface Water Detection., , , , , , , , , and 20 other author(s). Remote. Sens., 14 (10): 2410 (2022)Physically-based active-passive modelling and retrieval for SMAP soil moisture inversion algorithm., , , , , , , and . IGARSS, page 1300-1303. IEEE, (2015)