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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Indishe P. Senanayake, Kalani R. L. Pathira Arachchilage, In-Young Yeo, Mehdi Khaki, Shin-Chan Han, Peter G. Dahlhaus
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2024-06-01
Schriftenreihe:	Remote Sensing
Schlagworte:	downscaling machine learning microwave remote sensing soil moisture spatial resolution
Online-Zugang:	https://www.mdpi.com/2072-4292/16/12/2067
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!