Spatial Downscaling of Satellite-Based Soil Moisture Products Using Machine Learning Techniques: A Review

Spatial Downscaling of Satellite-Based Soil Moisture Products Using Machine Learning Techniques: A Review

Soil moisture (SM) is a key variable driving hydrologic, climatic, and ecological processes. Although it is highly variable, both spatially and temporally, there is limited data availability to inform about SM conditions at adequate spatial and temporal scales over large regions. Satellite SM retrie...

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Bibliographic Details
Main Authors: Indishe P. Senanayake, Kalani R. L. Pathira Arachchilage, In-Young Yeo, Mehdi Khaki, Shin-Chan Han, Peter G. Dahlhaus
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Remote Sensing
Subjects:
downscaling
machine learning
microwave remote sensing
soil moisture
spatial resolution
Online Access:https://www.mdpi.com/2072-4292/16/12/2067

Internet

https://www.mdpi.com/2072-4292/16/12/2067

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