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L-band active-passive and L-C-X-bands passive data for soil moisture retrieval, two different approaches in comparison., , , and . IGARSS, page 4492-4495. IEEE, (2004)Automatic mapping of event landslides at basin scale in Taiwan using a Montecarlo approach and synthetic land cover fingerprints., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2017)Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data., , , , and . Remote. Sens., 7 (12): 16398-16421 (2015)Potential of ALOS2 and NDVI to Estimate Forest Above-Ground Biomass, and Comparison with Lidar-Derived Estimates., , , , , , , and . Remote. Sens., 9 (1): 18 (2017)Bayesian algorithm for the estimation of the dielectric constant from active and passive remotely sensed data., and . IEEE Geosci. Remote. Sens. Lett., 1 (3): 179-183 (2004)Cassini Radar Data: Estimation of Titan's Lake Features by Means of a Bayesian Inversion Algorithm., , , and . IEEE Trans. Geosci. Remote. Sens., 47 (5): 1503-1511 (2009)Wet Snow Cover Mapping Algorithm Based on Multitemporal COSMO-SkyMed X-Band SAR Images., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 5 (3): 1045-1053 (2012)Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers., , , , , , , , , and 9 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Exploiting the Synergy Between Sentinel-1 and Cosmo Sky-Med Data for Snow Monitoring in Alpine Areas., , , , , , and . IGARSS, page 5738-5741. IEEE, (2019)Integration of X-SAR observations with data of other remote sensing techniques: preliminary results achieved with Cosmo/SkyMed announcement of opportunity projects., , , , , and . SAR, volume 8179 of SPIE Proceedings, page 817907. SPIE, (2011)