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Agricultural crop mapping using optical and SAR multi-temporal seasonal data: A case study in Lombardy region, Italy.

, , , , , and . IGARSS, page 1489-1492. IEEE, (2014)

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In-Season Mapping of Crop Type with Optical and X-Band SAR Data: A Classification Tree Approach Using Synoptic Seasonal Features., , , , and . Remote. Sens., 7 (10): 12859-12886 (2015)Early-Season Crop Mapping on an Agricultural Area in Italy Using X-Band Dual-Polarization SAR Satellite Data and Convolutional Neural Networks., , , , , , , , , and 1 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Remote Sensing of Forest Biomass Using GNSS Reflectometry., , , , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Monitoring of snow cover on Italian Alps using AMSR-E and Artificial Neural Networks., , , and . IGARSS, page 1572-1575. IEEE, (2012)Forest Biomass Estimate on Local and Global Scales Through GNSS Reflectometry Techniques., , , , , , and . IGARSS, page 8680-8683. IEEE, (2019)Integration of multi-seasonal Landsat 8 and TerraSAR-X data for urban mapping: An assessment., , and . JURSE, page 1-4. IEEE, (2015)Comparison of Machine Learning Methods Applied to SAR Images for Forest Classification in Mediterranean Areas., , , , , and . Remote. Sens., 12 (3): 369 (2020)Deriving Wheat Crop Productivity Indicators Using Sentinel-1 Time Series., , , , , and . Remote. Sens., 12 (15): 2385 (2020)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)Neural Network Integration of SMAP and Sentinel-1 for Estimating Soil Moisture at High Spatial Resolution., , , and . IGARSS, page 6327-6330. IEEE, (2021)