A GNSS-IR Soil Moisture Inversion Method Considering Multi-Factor Influences Under Different Vegetation Covers

A GNSS-IR Soil Moisture Inversion Method Considering Multi-Factor Influences Under Different Vegetation Covers

The Global Navigation Satellite System Interferometric Reflectometry (GNSS-IR) has demonstrated significant potential for soil moisture content (SMC) monitoring due to its high spatiotemporal resolution. However, GNSS-IR inversion experiments are notably influenced by vegetation and meteorological f...

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Bibliographic Details
Main Authors: Yadong Yao, Jixuan Yan, Guang Li, Weiwei Ma, Xiangdong Yao, Miao Song, Qiang Li, Jie Li
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Agriculture
Subjects:
GNSS-IR
SMC
satellite signal
environmental features
NRBO-XGBoost
Online Access:https://www.mdpi.com/2077-0472/15/8/837
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