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

  • Shuanggen Jin*
  • , Adriano Camps
  • , Yan Jia
  • , Feng Wang
  • , Manuel Martin-Neira
  • , Feixiong Huang
  • , Qingyun Yan
  • , Shuangcheng Zhang
  • , Zhongyu Li
  • , Komi Edokossi
  • , Dongkai Yang
  • , Zhiyu Xiao
  • , Zhongmin Ma
  • , Weihua Bai
  • *此作品的通讯作者
  • CAS - Shanghai Astronomical Observatory
  • Henan Polytechnic University
  • Polytechnic University of Catalonia
  • Nanjing University of Posts and Telecommunications
  • ESA/ESTEC
  • CAS - National Space Science Center
  • Nanjing University of Information Science & Technology
  • Chang'an University
  • University of Electronic Science and Technology of China

科研成果: 期刊稿件文献综述同行评审

摘要

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.

源语言英语
文章编号19
期刊Satellite Navigation
5
1
DOI
出版状态已出版 - 12月 2024

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