Land Remote Sensing Applications Using Spaceborne GNSS Reflectometry: A Comprehensive Overview

J Bu, Q Wang, Z Wang, S Fan, X Liu… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
The refracted, reflected, and scattered signals from global navigation satellite systems
(GNSSs) have been successfully used for remote sensing (RS) of the Earth's surface and …

Remote sensing and its applications using GNSS reflected signals: advances and prospects

S Jin, A Camps, Y Jia, F Wang, M Martin-Neira… - Satellite …, 2024 - Springer
Abstract The Global Navigation Satellite Systems (GNSS), including the US's GPS, China's
BDS, the European Union's Galileo, and Russia's GLONASS, offer real-time, all-weather …

A novel global grid model for soil moisture retrieval considering geographical disparity in spaceborne GNSS-R

L Huang, A Pan, F Chen, F Guo, H Li, L Liu - Satellite Navigation, 2024 - Springer
Spaceborne global navigation satellite system-reflectometry has become an effective
technique for Soil Moisture (SM) retrieval. However, the accuracy of global SM retrieval …

Temporal-spatial soil moisture estimation from CYGNSS using machine learning regression with a preclassification approach

Y Jia, S Jin, H Chen, Q Yan, P Savi… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Global navigation satellite system-reflectometry (GNSS-R) can retrieve Earth's surface
parameters, such as soil moisture (SM) using the reflected signals from GNSS constellations …

Evaluation of the land GNSS-Reflected DDM coherence on soil moisture estimation from CYGNSS data

Z Dong, S Jin - Remote Sensing, 2021 - mdpi.com
With the development of spaceborne global navigation satellite system-reflectometry (GNSS-
R), it can be used for terrestrial applications as a promising remote sensing tool, such as soil …

Single-pass soil moisture retrieval using GNSS-R at L1 and L5 bands: Results from airborne experiment

JF Munoz-Martin, R Onrubia, D Pascual, H Park… - Remote Sensing, 2021 - mdpi.com
Global Navigation Satellite System—Reflectometry (GNSS-R) has already proven its
potential for retrieving a number of geophysical parameters, including soil moisture …

Soil moisture estimation synergy using GNSS-R and L-Band microwave radiometry data from FSSCat/FMPL-2

JF Munoz-Martin, D Llaveria, C Herbert, M Pablos… - Remote Sensing, 2021 - mdpi.com
The Federated Satellite System mission (FSSCat) was the winner of the 2017 Copernicus
Masters Competition and the first Copernicus third-party mission based on CubeSats. One of …

[PDF][PDF] 全球导航卫星系统反射测量土壤水分遥感: 现状与机遇

贾燕, 金双根, 肖智宇, 严清赟… - 武汉大学学报(信息科学版), 2023 - researchgate.net
土壤水分作为全球水循环和能量循环的重要组成部分, 在地球水循环, 能量平衡以及气候变化中
具有不可或缺的作用. 传统的土壤水分实地测量方法难以获得大尺度, 长时序的土壤湿度空间 …

[HTML][HTML] Vegetation Water Content Retrieval from Spaceborne GNSS-R and Multi-Source Remote Sensing Data Using Ensemble Machine Learning Methods

Y Zhang, J Bu, X Zuo, K Yu, Q Wang, W Huang - Remote Sensing, 2024 - mdpi.com
Vegetation water content (VWC) is a crucial parameter for evaluating vegetation growth,
climate change, natural disasters such as forest fires, and drought prediction. Spaceborne …

Mapping Surface Water Fraction Over the Pan-tropical Region Using CYGNSS Data

Q Yan, S Liu, T Chen, S Jin, T Xie… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A new method, which integrates multivariable consisting of soil moisture (SM) active passive
(SMAP)-derived SM and vegetation optical depth, the water seasonality, geolocation, digital …