Integrating Sentinel-1 SAR and Machine Learning Models for Optimal Soil Moisture Sensor Placement at Catchment Scale

Integrating Sentinel-1 SAR and Machine Learning Models for Optimal Soil Moisture Sensor Placement at Catchment Scale

Accurate calibration and validation of remote sensing soil moisture products critically depend on high-quality in situ measurements. However, effectively capturing representative soil moisture patterns across heterogeneous catchments using ground-based sensors remains a significant challenge. To add...

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Bibliographic Details
Main Authors: Yi Xie, Guotao Cui, Kaifeng Zheng, Guoping Tang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Remote Sensing
Subjects:
soil moisture
sensor network
machine learning
Sentinel-1
SAR data
Online Access:https://www.mdpi.com/2072-4292/17/13/2330
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