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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)

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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)Conditioning Stochastic Rainfall Replicates on Remote Sensing Data., , , and . IEEE Trans. Geoscience and Remote Sensing, 47 (8-1): 2436-2449 (2009)Integration of passive and active microwave data from SMAP, AMSR2 and Sentinel-1 for Soil Moisture monitoring., , , , , and . IGARSS, page 5252-5255. IEEE, (2016)L-Band Vegetation Optical Depth for Crop Phenology Monitoring and Crop Yield Assessment., , , , , , and . IGARSS, page 8225-8227. IEEE, (2018)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)Physics-Based Modeling of Active and Passive Microwave Covariations Over Vegetated Surfaces., , , , , , , , and . IEEE Trans. Geoscience and Remote Sensing, 57 (2): 788-802 (2019)Frequency-Dependence of Vegetation Optical Depth-Derived Isohydriciy Estimates., and . IGARSS, page 9045-9047. IEEE, (2018)Physically-based retrieval of SMAP active-passive measurements covariation and vegetation structure parameters., , , , , , , and . IGARSS, page 3078-3081. IEEE, (2016)Smap-based retrieval of vegetation opacity and albedo., , , and . IGARSS, page 2554-2556. IEEE, (2017)