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A merged SMAP - Sentinel-1 soil moisture product using Artificial Neural Networks: a case study in Central Italy.

, , , , , , , and . IGARSS, page 7077-7080. IEEE, (2019)

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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)Soil moisture retrieval at regional scale from AMSR2 data (Conference Presentation)., , , , and . SAR, volume 10003 of SPIE Proceedings, page 100030G. SPIE, (2016)Tracking Rainfall Deficits Through the Water Cycle Using Earth Observation Datasets: A Case Study in Senegal., , , , , , , and . IGARSS, page 7966-7969. IEEE, (2022)An Integrated, Explainable and Uncertainty-Aware Satellite-Based Precipitation Product for the Mediterranean Region., , , , , and . IGARSS, page 7830-7834. IEEE, (2024)Rainfall-runoff modelling by using SM2RAIN-derived and state-of-the-art satellite rainfall products over Italy., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2018)Irrigation Mapping Using Sentinel-1 and Sentinel-2 Data., , , , , , , and . ATSIP, page 1-4. IEEE, (2022)River Flow Monitoring by Sentinel-3 OLCI and MODIS: Comparison and Combination., , , , and . Remote. Sens., 12 (23): 3867 (2020)SM2RAIN-CCI: a new global long-term rainfall data set derived from ESA CCI soil moisture, , , , , , , , , and . Earth System Science Data, 10 (1): 267-280 (2018)A merged SMAP - Sentinel-1 soil moisture product using Artificial Neural Networks: a case study in Central Italy., , , , , , , and . IGARSS, page 7077-7080. IEEE, (2019)