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

Authors :
Jin, Shuanggen
Camps, Adriano
Jia, Yan
Wang, Feng
Martin-Neira, Manuel
Huang, Feixiong
Yan, Qingyun
Zhang, Shuangcheng
Li, Zhongyu
Edokossi, Komi
Yang, Dongkai
Xiao, Zhiyu
Ma, Zhongmin
Bai, Weihua
Source :
Satellite Navigation; 5/27/2024, Vol. 5 Issue 1, p1-42, 42p
Publication Year :
2024

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, any-time, anywhere and high precision observations by transmitting L band signals continuously, which have been widely used for positioning, navigation and timing. With the development of GNSS technology, it has been found that GNSS-reflected signals can be used to detect Earth's surface characteristics together with other signals of opportunity. In this paper, the current status and latest advances are presented on Global Navigation Satellite System-Reflectometry (GNSS-R) in theory, methods, techniques and observations. New developments and progresses in GNSS-R instruments, theoretical modeling, and signal processing, ground and space-/air-borne experiments, parameters retrieval (e.g. wind speed, sea surface height, soil moisture, ice thickness), sea surface altimetry and applications in the atmosphere, oceans, land, vegetation, and cryosphere are given and reviewed in details. Meanwhile, the challenges in the GNSS-R development of each field are also given. Finally, the future applications and prospects of GNSS-R are discussed, including multi-GNSS reflectometry, new GNSS-R receivers, GNSS-R missions, and emerging applications, such as mesoscale ocean eddies, ocean phytoplankton blooms, microplastics detection, target recognition, river flow, desert studies, natural hazards and landslides monitoring. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
26629291
Volume :
5
Issue :
1
Database :
Complementary Index
Journal :
Satellite Navigation
Publication Type :
Academic Journal
Accession number :
177463936
Full Text :
https://doi.org/10.1186/s43020-024-00139-4