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

Emanuele Santi, Simonetta Paloscia, Simone Pettinato, Giacomo Fontanelli, Sara Modanesi, Luca Brocca, Luca Ciabatta, Christian Massari. A merged SMAP - Sentinel-1 soil moisture product using Artificial Neural Networks: a case study in Central Italy. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, July 28 - August 2, 2019. pages 7077-7080, IEEE, 2019. [doi]

Abstract

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