Soil Moisture Retrieval From Sentinel-1 and Sentinel-2 Data Using Ensemble Learning Over Vegetated Fields

Soil Moisture Retrieval From Sentinel-1 and Sentinel-2 Data Using Ensemble Learning Over Vegetated Fields

Soil moisture (SM) is valuable basic data in climate, hydrological models, and agricultural applications. The rapid development of remote sensing technology can be used to monitor changes in SM at multiple spatial and temporal scales. In this article, we unfolded an SM retrieval method using ensembl...

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Bibliographic Details
Main Authors:	Liguo Wang, Ya Gao
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Adaptive boosting (AdaBoost) ensemble learning random forest (RF) Sentinel-1/2 soil moisture (SM) Water Cloud Model (WCM)
Online Access:	https://ieeexplore.ieee.org/document/10037202/

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