Spaceborne GNSS Reflectometry

• Published in: Remote Sensing
• Main Authors: Yu, Kegen, Han, Shuai, Bu, Jinwei, An, Yuhang, Zhou, Zhewen, Wang, Changyang, TABIBI, Sajad, Cheong, Joon Wayn
• Other Authors: Geophysics and Remote Sensing (GRS)
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI 2022
• Subjects: GNSS reflectometry; satellite data; ocean wind speed; sea surface height; soil moisture; significant wave height; ocean rainfall intensity; ocean rainfall detection; sea ice detection; flood detection; tsunami detection; Physical; chemical; mathematical & earth Sciences; Earth sciences & physical geography; Space science; astronomy & astrophysics; Engineering; computing & technology; Aerospace & aeronautics engineering; Electrical & electronics engineering; Physique; chimie; mathématiques & sciences de la terre; Sciences de la terre & géographie physique; Aérospatiale; astronomie & astrophysique; Ingénierie; informatique & technologie; Ingénierie aérospatiale; Ingénierie électrique & électronique; Sea ice
• Online Access: https://orbilu.uni.lu/handle/10993/57210; https://doi.org/10.3390/rs14071605

peer reviewed This article presents a review on spaceborne Global Navigation Satellite System Reflectometry (GNSS-R), which is an important part of GNSS-R technology and has attracted great attention from academia, industry and government agencies in recent years. Compared with ground-based and airborne GNSS-R approaches, spaceborne GNSS-R has a number of advantages, including wide coverage and the ability to sense medium-and large-scale phenomena such as ocean eddies, hurricanes and tsunamis. Since 2014, about seven satellite missions have been successfully conducted and a large number of spaceborne data were recorded. Accordingly, the data have been widely used to carry out a variety of studies for a range of useful applications, and significant research outcomes have been generated. This article provides an overview of these studies with a focus on the basic methods and techniques in the retrieval of a number of geophysical parameters and the detection of several objects. The challenges and future prospects of spaceborne GNSS-R are also addressed. 13. Climate action