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

التفاصيل البيبلوغرافية
العنوان: A merged SMAP – Sentinel-1 soil moisture product using Artificial Neural Networks: a case study in Central Italy
المؤلفون: Santi, E., Paloscia, S., Pettinato, S., Fontanelli, G., Modanesi, S., Brocca, L., Ciabatta, L., Massari, C.
المصدر: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2019 - 2019 IEEE International. :7077-7080 Jul, 2019
Relation: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
قاعدة البيانات: IEEE Xplore Digital Library
الوصف
ردمك:9781538691540
9781538691533
تدمد:21537003
DOI:10.1109/IGARSS.2019.8900365