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Analysis of the Radar Vegetation Index and Assessment of Potential for Improvement., , , , , , , , , and . IGARSS, page 8143-8146. IEEE, (2018)First-Order Water Balance Studies Using Smap Soil Moisture., , , , , and . IGARSS, page 7771-7774. IEEE, (2018)Relationship Between Vegetation Microwave Optical Depth and Cross-Polarized Backscatter From Multiyear Aquarius Observations., , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 10 (10): 4493-4503 (2017)Multi-temporal microwave retrievals of Soil Moisture and vegetation parameters from SMAP., , , , , and . IGARSS, page 242-245. IEEE, (2016)How Many Parameters Can Be Maximally Estimated From a Set of Measurements?, , , and . IEEE Geosci. Remote. Sens. Lett., 12 (5): 1081-1085 (2015)L-Band Radar Soil Moisture Retrieval Without Ancillary Information., , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (12): 5526-5540 (2015)Physically-based active-passive modelling and retrieval for SMAP soil moisture inversion algorithm., , , , , , , and . IGARSS, page 1300-1303. IEEE, (2015)Uncertainty Analysis of Soil Moisture and Vegetation Indices Using Aquarius Scatterometer Observations., , and . IEEE Trans. Geoscience and Remote Sensing, 52 (7): 4259-4272 (2014)Physics-Based Modeling of Active and Passive Microwave Covariations Over Vegetated Surfaces., , , , , , , , and . IEEE Trans. Geoscience and Remote Sensing, 57 (2): 788-802 (2019)Physically-based retrieval of SMAP active-passive measurements covariation and vegetation structure parameters., , , , , , , and . IGARSS, page 3078-3081. IEEE, (2016)