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Mapping Woody Volume of Mediterranean Forests by Using SAR and Machine Learning: A Case Study in Central Italy.

, , , , , , , and . Remote. Sens., 13 (4): 809 (2021)

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Combining the Strong Fluctuation Theory with Rough Soil Models for Improving the Simulation Accuracy of Alpine Snowpacks at C- and X-Bands., , , , , , , , and . IGARSS, page 9-12. IEEE, (2023)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)A Method for Estimating Agricultural Crop Biomass by Using Sar Images at X and C Bands., , , , , , , , and . IGARSS, page 4947-4950. IEEE, (2022)Multifrequency SAR Data for Estimating Snow, Soil and Vegetation Parameters., , , , , , , , , and 4 other author(s). IGARSS, page 5180-5183. IEEE, (2022)The Application of COSMO-Skymed Images to Agricultural Management in Central Tunisia., , , , , , , , , and 1 other author(s). IGARSS, page 4747-4749. IEEE, (2022)High Resolution Mapping of Vegetation Biomass and Soil Moisture by Using AMSR2, Sentinel-1 and Machine Learning., , , , , , , , , and 1 other author(s). IGARSS, page 4943-4946. IEEE, (2022)High Resolution Mapping of Crop Biomass by Combining Sentinel-1 and Cosmo Skymed Through Machine Learning., , , , , , , , and . IGARSS, page 1501-1504. IEEE, (2023)Mapping Woody Volume of Mediterranean Forests by Using SAR and Machine Learning: A Case Study in Central Italy., , , , , , , and . Remote. Sens., 13 (4): 809 (2021)Crop Classification and Biomass Estimate Using Cosmo-Skymed and Sentinel-1 Data in an Agricultural Test Area in Central Italy., , , , , , , , , and 1 other author(s). IGARSS, page 5933-5936. IEEE, (2021)