Current Status of Application of Spaceborne GNSS-R Raw Intermediate-Frequency Signal Measurements: Comprehensive Review

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Udgivet i:Remote Sensing vol. 17, no. 13 (2025), p. 2144-2180
Hovedforfatter: Wang, Qiulan
Andre forfattere: Bu Jinwei, Wang, Yutong, Huang Donglan, Yang, Hui, Zuo Xiaoqing
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MDPI AG
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100 1 |a Wang, Qiulan  |u Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China; 202210108133@stu.kust.edu.cn (Q.W.); wangyutong@stu.kust.edu.cn (Y.W.); 202210108124@stu.kust.edu.cn (D.H.); 202310108143@stu.kust.edu.cn (H.Y.); zxq@kust.edu.cn (X.Z.) 
245 1 |a Current Status of Application of Spaceborne GNSS-R Raw Intermediate-Frequency Signal Measurements: Comprehensive Review 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a In recent years, spaceborne Global Navigation Satellite System reflectometry (GNSS-R) technology has made significant progress in the fields of Earth observation and remote sensing, with a wide range of applications, important research value, and broad development prospects. However, despite existing research focusing on the application of spaceborne GNSS-R L1-level data, the potential value of raw intermediate-frequency (IF) signals has not been fully explored for special applications that require a high accuracy and spatiotemporal resolution. This article provides a comprehensive overview of the current status of the measurement of raw IF signals from spaceborne GNSS-R in multiple application fields. Firstly, the development of spaceborne GNSS-R microsatellites launch technology is introduced, including the ability of microsatellites to receive GNSS signals and receiver technique, as well as related frequency bands and technological advancements. Secondly, the key role of coherence detection in spaceborne GNSS-R is discussed. By analyzing the phase and amplitude information of the reflected signals, parameters such as scattering characteristics, roughness, and the shape of surface features are extracted. Then, the application of spaceborne GNSS-R in inland water monitoring is explored, including inland water detection and the measurement of the surface height of inland (or lake) water bodies. In addition, the widespread application of group delay sea surface height measurement and carrier-phase sea surface height measurement technology in the marine field are also discussed. Further research is conducted on the progress of spaceborne GNSS-R in the retrieval of ice height or ice sheet height, as well as tropospheric parameter monitoring and the study of atmospheric parameters. Finally, the existing research results are summarized, and suggestions for future prospects are put forward, including improving the accuracy of signal processing and reflection signal analysis, developing more advanced algorithms and technologies, and so on, to achieve more accurate and reliable Earth observation and remote sensing applications. These research results have important application potential in fields such as environmental monitoring, climate change research, and weather prediction, and are expected to provide new technological means for global geophysical parameter retrieval. 
651 4 |a United Kingdom--UK 
651 4 |a United States--US 
653 |a Weather forecasting 
653 |a Climate change 
653 |a Environmental monitoring 
653 |a Accuracy 
653 |a Signal analysis 
653 |a Signal processing 
653 |a Remote sensing 
653 |a Frequencies 
653 |a Ionosphere 
653 |a Inland waters 
653 |a Signal reflection 
653 |a Marine technology 
653 |a Data compression 
653 |a Water monitoring 
653 |a Ice sheets 
653 |a Retrieval 
653 |a Microsatellites 
653 |a Climate change research 
653 |a Group delay 
653 |a Algorithms 
653 |a Satellites 
653 |a Parameters 
653 |a Global navigation satellite system 
700 1 |a Bu Jinwei  |u Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China; 202210108133@stu.kust.edu.cn (Q.W.); wangyutong@stu.kust.edu.cn (Y.W.); 202210108124@stu.kust.edu.cn (D.H.); 202310108143@stu.kust.edu.cn (H.Y.); zxq@kust.edu.cn (X.Z.) 
700 1 |a Wang, Yutong  |u Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China; 202210108133@stu.kust.edu.cn (Q.W.); wangyutong@stu.kust.edu.cn (Y.W.); 202210108124@stu.kust.edu.cn (D.H.); 202310108143@stu.kust.edu.cn (H.Y.); zxq@kust.edu.cn (X.Z.) 
700 1 |a Huang Donglan  |u Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China; 202210108133@stu.kust.edu.cn (Q.W.); wangyutong@stu.kust.edu.cn (Y.W.); 202210108124@stu.kust.edu.cn (D.H.); 202310108143@stu.kust.edu.cn (H.Y.); zxq@kust.edu.cn (X.Z.) 
700 1 |a Yang, Hui  |u Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China; 202210108133@stu.kust.edu.cn (Q.W.); wangyutong@stu.kust.edu.cn (Y.W.); 202210108124@stu.kust.edu.cn (D.H.); 202310108143@stu.kust.edu.cn (H.Y.); zxq@kust.edu.cn (X.Z.) 
700 1 |a Zuo Xiaoqing  |u Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China; 202210108133@stu.kust.edu.cn (Q.W.); wangyutong@stu.kust.edu.cn (Y.W.); 202210108124@stu.kust.edu.cn (D.H.); 202310108143@stu.kust.edu.cn (H.Y.); zxq@kust.edu.cn (X.Z.) 
773 0 |t Remote Sensing  |g vol. 17, no. 13 (2025), p. 2144-2180 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
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