Machine Learning-Based CYGNSS Soil Moisture Estimates over ISMN sites in CONUS

Soil moisture (SM) derived from satellite-based remote sensing measurements plays a vital role for understanding Earth’s land and near-surface atmosphere interactions. Bistatic Global Navigation Satellite System (GNSS) Reflectometry (GNSS-R) has emerged in recent years as a new domain of microwave r...

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Principais autores:	Volkan Senyurek, Fangni Lei, Dylan Boyd, Mehmet Kurum, Ali Cafer Gurbuz, Robert Moorhead
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2020-04-01
叢編:	Remote Sensing
主題:	artificial neural networks random forest SVM CYGNSS soil moisture retrieval ISMN
在線閱讀:	https://www.mdpi.com/2072-4292/12/7/1168
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