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]

@inproceedings{SantiPPFMBCM19,
  title = {A merged SMAP - Sentinel-1 soil moisture product using Artificial Neural Networks: a case study in Central Italy},
  author = {Emanuele Santi and Simonetta Paloscia and Simone Pettinato and Giacomo Fontanelli and Sara Modanesi and Luca Brocca and Luca Ciabatta and Christian Massari},
  year = {2019},
  doi = {10.1109/IGARSS.2019.8900365},
  url = {https://doi.org/10.1109/IGARSS.2019.8900365},
  researchr = {https://researchr.org/publication/SantiPPFMBCM19},
  cites = {0},
  citedby = {0},
  pages = {7077-7080},
  booktitle = {2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, July 28 - August 2, 2019},
  publisher = {IEEE},
  isbn = {978-1-5386-9154-0},
}