Design and Validation of GNSS-R Soil Moisture Detection System

Soil moisture detection is essential for efficient water resource utilization, disaster prevention and control, and sustainable ecological development. The soil moisture detection system based on navigation satellite signals utilizes GNSS-R (Global Navigation Satellite System-Reflectometry) remote sensing technology, enabling non-contact soil moisture retrieval with all time, all weather, and all terrain data acquisition capabilities. This paper elaborates on the design and implementation of the GNSS-R soil moisture detection system, and verified system functionality through field experiment. The results demonstrate that the system achieves flexible and mobile coverage over large areas, with the soil moisture detection accuracy better than 0.04 cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup>/cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> and the resolution of 0.1%, while supporting visualized monitoring. By integrating with platforms such as satellites and unmanned aerial vehicles (UAVs), the system can provide nationwide coverage with high spatial and temporal resolution for surface soil moisture detection.

Authors

Institutions

Publication Details

Published
2025-06-27
DOI
https://doi.org/10.1109/crsit66101.2025.11141649
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Validation of GNSS-R Soil Moisture Detection System

Fan Gao, Jin Qin, Siqi Gu, Bo Zhou
Soil Moisture and Remote Sensing
article

Design and Validation of GNSS-R Soil Moisture Detection System

Fan Gao, Jin Qin, Siqi Gu, Bo Zhou
article en

Abstract

Soil moisture detection is essential for efficient water resource utilization, disaster prevention and control, and sustainable ecological development. The soil moisture detection system based on navigation satellite signals utilizes GNSS-R (Global Navigation Satellite System-Reflectometry) remote sensing technology, enabling non-contact soil moisture retrieval with all time, all weather, and all terrain data acquisition capabilities. This paper elaborates on the design and implementation of the GNSS-R soil moisture detection system, and verified system functionality through field experiment. The results demonstrate that the system achieves flexible and mobile coverage over large areas, with the soil moisture detection accuracy better than 0.04 cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup>/cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> and the resolution of 0.1%, while supporting visualized monitoring. By integrating with platforms such as satellites and unmanned aerial vehicles (UAVs), the system can provide nationwide coverage with high spatial and temporal resolution for surface soil moisture detection.

Shandong University (CN), Shanghai Industrial Technology Institute (CN)
Openalex Percentile: Top 79%
Soil Moisture and Remote Sensing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Design and Validation of GNSS-R Soil Moisture Detection System — Fan Gao, Jin Qin, et al. · (2025) | TGRS Research Map | TGRS