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Neural network adaptive algorithm applied to high resolution C-band SAR images for soil moisture retrieval in bare and vegetated areas.

, , , , , , and . SAR, volume 7829 of SPIE Proceedings, page 78290F. SPIE, (2010)

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Robust assessment of an operational algorithm for the retrieval of soil moisture from AMSR-E data in central Italy., , , , and . IGARSS, page 1288-1291. IEEE, (2015)Comparison of Machine Learning Methods Applied to SAR Images for Forest Classification in Mediterranean Areas., , , , , and . Remote. Sens., 12 (3): 369 (2020)Integration of radar and radiometric data from SMAP and Sentinel-1 sensors for soil moisture and vegetation monitoring (Conference Presentation)., , , and . SAR, volume 10003 of SPIE Proceedings, page 100030E. SPIE, (2016)Soil moisture retrieval at regional scale from AMSR2 data (Conference Presentation)., , , , and . SAR, volume 10003 of SPIE Proceedings, page 100030G. SPIE, (2016)The Added Value of the VH/VV Polarization-Ratio for Global Soil Moisture Estimations From Scatterometer Data., , , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (10): 3668-3679 (2018)Airborne multifrequency L- to Ka-band radiometric measurements over forests., , , and . IEEE Trans. Geosci. Remote. Sens., 39 (11): 2507-2513 (2001)The potential of C- and L-band SAR in estimating vegetation biomass: the ERS-1 and JERS-1 experiments., , , and . IEEE Trans. Geosci. Remote. Sens., 37 (4): 2107-2110 (1999)Bistatic scattering from bare soils: Sensitivity to soil moisture and surface roughness., , , , , and . IGARSS, page 77-80. IEEE, (2007)Vegetation Water Content Retrieval by Means of Multifrequency Microwave Acquisitions From AMSR2., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (9): 3861-3873 (2017)The Sensitivity of Cosmo-SkyMed Backscatter to Agricultural Crop Type and Vegetation Parameters., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 7 (7): 2856-2868 (2014)