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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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Comparing Satellite Soil Moisture Products Using In Situ Observations over an Instrumented Experimental Basin in Romania., , , , , , , and . Remote. Sens., 16 (17): 3283 (September 2024)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)A Review of Irrigation Information Retrievals from Space and Their Utility for Users., , , , , , , , , and 14 other author(s). Remote. Sens., 13 (20): 4112 (2021)Antecedent Wetness Conditions of European Floods: A Comprehensive Study., and . IGARSS, page 3935-3938. IEEE, (2020)Soil moisture and rainfall retrieval from AMSR2 data in Italy., , , , , and . IGARSS, page 1651-1654. IEEE, (2016)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)