A Machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine

A Machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine

Due to its relation to the Earth’s climate and weather and phenomena like drought, flooding, or landslides, knowledge of the soil moisture content is valuable to many scientific and professional users. Remote-sensing offers the unique possibility for continuous measurements of this variable. Especia...

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Bibliographic Details
Main Authors:	Felix Greifeneder, Claudia Notarnicola, Wolfgang Wagner
Format:	Article
Language:	English
Published:	MDPI AG 2021-05-01
Series:	Remote Sensing
Subjects:	soil moisture Sentinel-1 SAR Landsat-8 optical/thermal data machine learning cloud-based approach Google Earth Engine
Online Access:	https://www.mdpi.com/2072-4292/13/11/2099

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