A systematic review of machine learning techniques for GNSS use cases
A Siemuri, K Selvan, H Kuusniemi… - … on Aerospace and …, 2022 - ieeexplore.ieee.org
In terms of the availability and accuracy of positioning, navigation, and timing (PNT), the
traditional Global Navigation Satellite System (GNSS) algorithms and models perform well …
traditional Global Navigation Satellite System (GNSS) algorithms and models perform well …
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 …
(GNSSs) have been successfully used for remote sensing (RS) of the Earth's surface and …
Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations
Global soil moisture mapping at high spatial and temporal resolution is important for various
meteorological, hydrological, and agricultural applications. Recent research shows that the …
meteorological, hydrological, and agricultural applications. Recent research shows that the …
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 …
technique for Soil Moisture (SM) retrieval. However, the accuracy of global SM retrieval …
[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 …
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 …
Evaluation of Spire GNSS-R reflectivity from multiple GNSS constellations for soil moisture estimation
PT Setti Jr, S Tabibi - International Journal of Remote Sensing, 2023 - Taylor & Francis
ABSTRACT Spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) has
emerged as a pivotal tool with different land applications, prominently encompassing soil …
emerged as a pivotal tool with different land applications, prominently encompassing soil …
An effective land type labeling approach for independently exploiting high-resolution soil moisture products based on CYGNSS data
Recently, soil moisture (SM) has been estimated using Cyclone Global Navigation Satellite
System (CYGNSS) data. Machine learning (ML) algorithms for CYGNSS SM estimation can …
System (CYGNSS) data. Machine learning (ML) algorithms for CYGNSS SM estimation can …
Unsupervised self-training method based on deep learning for soil moisture estimation using synergy of sentinel-1 and sentinel-2 images
A Ben Abbes, N Jarray - International Journal of Image and Data …, 2023 - Taylor & Francis
Here, we present a novel unsupervised self-training method (USTM) for SM estimation. First,
a ML model is trained using the labeled and unlabeled data. Then, the pseudo-labeled data …
a ML model is trained using the labeled and unlabeled data. Then, the pseudo-labeled data …
星载GNSS⁃ R 反演土壤湿度研究进展与思考
张双成， 郭沁雨， 马中民， 刘奇， 胡胜伟… - 武汉大学学报(信息 …, 2024 - ch.whu.edu.cn
土壤湿度作为陆地水循环中最为活跃的部分, 在陆面水分的形成, 转化和消耗过程中扮演重要
角色, 同时它也是影响水文过程, 植被状态及气候条件的关键参数. 传统的直接测量法耗时耗力 …
角色, 同时它也是影响水文过程, 植被状态及气候条件的关键参数. 传统的直接测量法耗时耗力 …