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The Effect of Variable Soil Moisture Profiles on P-Band Backscatter.

, , , and . IEEE Trans. Geosci. Remote. Sens., 52 (10): 6315-6325 (2014)

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Proposed investigations from NASA's Earth Venture-1 (EV-1) airborne science selections., , , , , , and . IGARSS, page 2575-2578. IEEE, (2010)Decomposing soil and vegetation contributions in polarimetric L- and P- band SAR observations., , , and . IGARSS, page 7553-7556. IEEE, (2016)Joint-physics emission-scattering model for improved active-passive soil moisture estimation., and . IGARSS, page 1885-1887. IEEE, (2016)The importance of forest spatial heterogeneity: Exploring the effect of mix scenes using coherence three-dimension radar backscattering model., , and . IGARSS, page 732-735. IEEE, (2016)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)3-D Level Set Method for Joint Contrast and Shape Recovery in Microwave Imaging., , , and . IEEE Trans. Computational Imaging, 5 (1): 97-108 (2019)Relationship Between Bistatic Radar Scattering Cross Sections and GPS Reflectometry Delay-Doppler Maps Over Vegetated Land in Support of Soil Moisture Retrieval., , and . IGARSS, page 7480-7482. IEEE, (2018)Forest parameter retrieval from SAR data using an estimation algorithm applied to regrowing forest stands in Queensland, Australia., , , , , and . IGARSS, page 1238-1241. IEEE, (2010)Retrieval of forest structure and moisture from SAR data using an estimation algorithm., , , and . IGARSS, page 153-156. IEEE, (2013)A Generalized Radar Backscattering Model Based on Wave Theory for Multilayer Multispecies Vegetation., , , and . IEEE Trans. Geosci. Remote. Sens., 49 (12): 4832-4845 (2011)