Robust Kalman Filter Soil Moisture Inversion Model Using GPS SNR Data—A Dual-Band Data Fusion Approach

Robust Kalman Filter Soil Moisture Inversion Model Using GPS SNR Data—A Dual-Band Data Fusion Approach

This article aims to attempt to increase the number of satellites that can be used for monitoring soil moisture to obtain more precise results using GNSS-IR (Global Navigation Satellite System-Interferometric Reflectometry) technology to estimate soil moisture. We introduce a soil moisture inversion...

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Bibliographic Details
Main Authors: Lili Jing, Lei Yang, Wentao Yang, Tianhe Xu, Fan Gao, Yilin Lu, Bo Sun, Dongkai Yang, Xuebao Hong, Nazi Wang, Hongliang Ruan, José Darrozes
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
GNSS
Signal-to-Noise Ratio
soil moisture
Robust Kalman Filter
data fusion
Online Access:https://www.mdpi.com/2072-4292/13/19/4013

Internet

https://www.mdpi.com/2072-4292/13/19/4013

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