GNSS World of China

Volume 48 Issue 3
Jun.  2023
Turn off MathJax
Article Contents
Article Navigation >  GNSS World of China  > 2023  >  48(3): 3-11, 32
YANG Dongkai, LI Jie. A review of the application of GNSS reflected signal on land surface remote sensing[J]. GNSS World of China, 2023, 48(3): 3-11, 32. doi: 10.12265/j.gnss.2023035
Citation: YANG Dongkai, LI Jie. A review of the application of GNSS reflected signal on land surface remote sensing[J]. GNSS World of China, 2023, 48(3): 3-11, 32. doi: 10.12265/j.gnss.2023035
shu

A review of the application of GNSS reflected signal on land surface remote sensing

doi: 10.12265/j.gnss.2023035

  • Beihang University, Beijing 100191, China

  • Received Date: 2023-02-19
    Abstract
  • Global Navigation Satellite System (GNSS) has been developed for more than half a century, and it can not only provide users with navigation, positioning and timing services, but also be used for remote sensing of the Earth, and its applications are beyond imagination. Based on the application of GNSS-R, this paper systematically introduces the basic concepts and signal characteristics of GNSS-R, focuses on the land surface remote sensing applications, and analyzes the possible future development directions, which can provide an important reference for the application of GNSS-R.

     

    • FullText(HTML)
  • loading
    • References(73)
  • [1]
    杨长风, 陈谷仓, 郑恒. 北斗卫星导航系统智能运行维护理论与实践[M]. 北京: 中国宇航出版社, 2020.
    [2]
    HALL C D, CORDEY R A. Multistatic Scatterometry[C]// International geoscience and remote sensing symposium, ‘remote sensing: moving toward the 21st century’, 1998.
    [3]
    MARTIN-NEIRA M. A passive reflectometry and interferometry system (PARIS): application to ocean altimetry[J]. ESA journal, 1993, 17(4): 331-355.
    [4]
    LARSON K, SMALL E. Normalized microwave reflection index: a vegetation measurement derived from GPS networks.[J]. IEEE journal of selected topics in applied earth observations and remote sensing, 2014, 7(5): 1501-1511. DOI: 10.1109/JSTARS.2014.2300116
    [5]
    YIN C, LOPEZ-BAEZA E, MARTIN-NEIRA M, et al. Intercomparison of soil moisture retrieved from GNSS-R and from passive L-Band radiometry at the valencia anchor station[J]. Sensors, 2019, 19(8): 1900. DOI: 10.3390/s19081900
    [6]
    SOUTHWELL B J, CHEONG J W, DEMPSTER A G. A matched filter for spaceborne GNSS-R based sea-target detection[J]. IEEE transactions on geoscience and remote sensing, 2020(99): 1-10. DOI: 10.1109/TGRS.2020.2973142
    [7]
    HOBIGER T, AMAGAI J, AIDA M, et al. A real-time GNSS-R system based on software-defined radio and graphics processing units[J]. Advances in space research., 2012, 49(7): 1180-1190. DOI: 10.1016/j.ASR.2012.01.009
    [8]
    李紫薇, 陈新. 基于GPS遥感的海面风场探测技术[J]. 高技术通讯, 2003(3): 50-53.
    [9]
    杨东凯, 张其善. GNSS 反射信号处理基础与实践[M]. 北京: 电子工业出版社, 2012.
    [10]
    刘经南, 邵连军, 张训械. GNSS-R研究进展及其关键技术[J]. 武汉大学学报(信息科学版), 2007(11): 955-960.
    [11]
    万玮, 陈秀万, 彭学峰, 等. 2016. GNSS遥感研究与应用进展和展望[J]. 遥感学报, 2016, 20(5): 858-874.
    [12]
    杨东凯, 李晓辉, 王峰. GNSS反射信号海洋遥感应用现状分析[J]. 无线电工程, 2019, 49(10): 843-848.
    [13]
    JIN S G, CARDELLACH E, XIE F. GNSS remote sensing: theory, methods and applications[M]. GNSS Remote Sensing, 2013.
    [14]
    金双根, 吴学睿, 邱辉. GNSS反射测量原理与应用[M]. 北京: 国防工业出版社, 2021.
    [15]
    YU K. Theory and practice of GNSS Reflectometry[M]. Singapore : Springer Singapore, 2021.
    [16]
    任超, 刘立龙, 梁月吉. GNSS-IR原理与应用[M]. 北京: 科学出版社, 2022.
    [17]
    杨东凯, 王峰. GNSS反射信号海洋遥感方法与应用[M]. 北京: 科学出版社, 2020.
    [18]
    吴红甲. GNSS反射信号接收与处理方法研究[D]. 北京: 北京化工大学, 2010.
    [19]
    王峰, 杨东凯, 李伟强. 基于角度二分法的GNSS-R镜面反射点估计算法[C]//第七届全国信号和智能信息处理与应用学术会议, 2013.
    [20]
    ZAVOROTNY V U, VORONOVICH A G. Scattering of GPS signals from the ocean with wind remote sensing application[J]. IEEE transactions on geoscience and remote sensing, 2000, 38(2): 951-964. DOI: 10.1109/36.841977
    [21]
    LI Q, REBOUL S, BOUTOILLE S, et al. Beach soil moisture measurement with a land reflected GPS bistatic radar technique[C]//New Trends for Environmental Monitoring Using Passive Systems. 2008.
    [22]
    严颂华, 张训械. GNSS-R反射信号在土壤湿度测量中的应用研究[C]//第十一届全国电波传播学术讨论年会, 2009.
    [23]
    杨磊. GNSS-R农田土壤湿度反演方法研究[J]. 测绘学报, 2018, 47(1): 134.
    [24]
    DONG Z N, JIN S G, CHEN G D et al. Enhancing GNSS-R soil moisture accuracy with vegetation and roughness correction[J]. Atmosphere, 2023, 14(3): 509. DOI: 10.3390/atmos14030509
    [25]
    LARSON K M, SMALL E E, GUTMANN E, et al. Using GPS multipath to measure soil moisture fluctuations: initial results[J]. GPS solutions, 2008, 12(3): 173-177. DOI: 10.1007/s10291-007-0076-6
    [26]
    HAN M, ZHU Y L, YANG D K, et al. A semi-empirical SNR model for soil moisture retrieval using GNSS SNR data[J]. Remote sensing, 2018, 10(2): 280. DOI: 10.3390/rs10020280
    [27]
    HONG X B, ZHANG B, GEIGER A, et al. GNSS pseudo interference reflectometry for ground-based soil moisture remote sensing: theory and simulations[J]. IEEE geoscience and remote sensing letters, 2021(19): 1-5. DOI: 10.1109/LGRS.2021.3068347
    [28]
    KOCH F, SCHLENZ F, PRASCH M, et al. Soil moisture retrieval based on GPS signal strength attenuation[J]. Water, 2016, 8(7): 276. DOI: 10.3390/w8070276
    [29]
    汉牟田, 杨毅, 张波. GNSS信号土壤衰减模型的试验验证方法[J]. 测绘学报, 2020, 49(9): 1202-1212.
    [30]
    李杰, 杨东凯, 王峰, 等. 利用GNSS信号地表穿透特性反演土壤湿度的思考[J]. 北京理工大学学报, 2023, 43(1): 94-103.
    [31]
    ZHI Z H, YIN H, LU N, et al. Spatial-temporal changes of vegetation restoration in yan'an based on MODIS NDVI and Landsat NDVI[C]//IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019.
    [32]
    JI Z L, PAN Y Z, LI M Y. Using NDVI time series curve change rate to estimate winter wheat yield[C]// IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, 2021.
    [33]
    CHEN Q, WON D, AKON D M, et al. Vegetation sensing using GPS interferometric reflectometry: experimental results with a horizontally polarized antenna[J]. IEEE journal of selected topics in applied earth observations and remote sensing, 2016, 10(9): 4771-4780. DOI: 10.1109/JSTARS.2016.2565687
    [34]
    EROGLU O, KURUM M, BALL J. Response of GNSS-R on dynamic vegetated terrain conditions[J]. IEEE journal of selected topics in applied earth observations and remote sensing, 2019, 12(5): 1599-1611. DOI: 10.1109/JSTARS.2019.2910565
    [35]
    YANG T, WAN W, CHEN T X. Land surface characterization using BeiDou signal-to-noise ratio observations[J]. GPS solutions, 2019, 23(2): 1-12. DOI: 10.1007/s10291-019-0824-4
    [36]
    ZHANG S B, ROUSSEL N, BONIFACE K, et al. Use of reflected GNSS SNR data to retrieve either soil moisture or vegetation height from a wheat crop[J]. Hydrology and earth system. science, 2017, 21(9): 4767-4784. DOI: 10.5194/hess-21-4767-2017
    [37]
    LI J, YANG D K, WANG F, et al. A new algorithm for measuring vegetation growth using GNSS interferometric reflectometry[J]. IEEE journal of selected topics in applied earth observations and remote sensing, 2022(16): 1-9. DOI: 10.1109/JSTARS.2043722.3230090
    [38]
    WU X R, JIN X, DUAN Z, et al. Bistatic scattering simulations of circular and linear polarizations over land surface for signals of opportunity reflectometry[J]. Geoscience letters, 2021, 8(1). DOI: 10.1186/s40562-021-00182-y
    [39]
    ALVAREZ N R, BOSCH X, CAMPS A, et al. Vegetation water content estimation using GNSS measurements[J]. IEEE geoscience and remote sensing letters, 2012(9): 282-286. DOI: 10.1109/LGRS.2011.2166242
    [40]
    GUERRIERO L, MARTIN F, MOLLFULLEDA A, et al. Ground-based remote sensing of forests exploiting GNSS signals[J]. IEEE transactions on geoscience and remote sensing, 2020, 58(10): 6844-6860. DOI: 10.1109/TGRS.2020.2976899
    [41]
    CAMPS A, ALONSO-ARROYO A, PARK H, et al. L-Band vegetation optical depth estimation using transmitted GNSS signals: application to GNSS-Reflectometry and positioning[J]. Remote sensing, 2020, 12(15): 2352. DOI: 10.3390/rs12152352
    [42]
    LI J, HONG X B, WANG F, et al. Simultaneous retrieval of corn growth status and soil water content based on one GNSS antenna[J]. Remote sensing, 2023, 15(7): 1738. DOI: 10.3390/rs15071738
    [43]
    肖星星, 许盼盼, 韩雨辰, 等. 地基GNSS-R雪深测量方法研究进展[J]. 测绘标准化, 2022, 38(2): 13-22.
    [44]
    JACOBSON M. Dielectric-covered ground reflectors in GPS multipath reception—theory and measurement[J]. Geoscience and remote sensing letters, 2008, 5(3): 396-399. DOI: 10.1109/LGRS.2008.917130
    [45]
    LARSON K M, GUTMAN E D, ZAVOROTNY V U, et al. Can we measure snow depth with GPS receivers?[J]. Geophysical research letters 2009, 36(17): L17502. DOI: 10.1029/2009GL039430
    [46]
    NIEVINSKI F G, LARSON K M. Inverse modeling of GPS multipath for snow depth estimation-part I: formulation and simulations[J]. IEEE transactions on geoscience and remote sensing, 2014, 52(10): 6555-6563. DOI: 10.1109/TGRS.2013.2297681
    [47]
    NIEVINSKI F G,LARSON K M. Inverse modeling of GPS multipath for snow depth estimation-part II: application and validation[J]. IEEE transactions on geoscience and remote sensing, 2014, 52(10): 6564-6573. 10.1109/TGRS.2013.2297688
    [48]
    BONIFACE K, BRAUN J, MCCREIGHT J L, et al. Comparison of snow data assimilation system with GPS reflectometry snow depth in the western united states[J]. Hydrological processes, 2014, 29(10). DOI: 10.1002/hyp.10346
    [49]
    郑中天. 结合GA-BP的GPS-IR雪深反演研究[D]. 桂林: 桂林理工大学, 2018.
    [50]
    彭继轮. GNSS-IR技术用于积雪深度监测及软件设计[D]. 西安: 长安大学, 2021.
    [51]
    李政. 基于GNSS-IR的积雪深度反演研究[D]. 西安: 西安科技大学, 2021.
    [52]
    陈亮宇, 安家春, 王泽民, 等. 同天线不同接收机的GNSS-IR雪深反演分析[J/OL]. 武汉大学学报(信息科学版), 2023. (2022-06-21) [2023-01-10]. http://ch.whu.edu.cn/article/id/8c50c9d9-139e-4426-b4ff-23f58cfa1fa0
    [53]
    GUTMANN E, LARSON K M, WILLIAMS M W et al. Snow measurement by GPS interferometric reflectometry: an evaluation at Niwot Ridge, Colorado[J]. Hydrological processes, 2012, 26.(19): 2951-2961. DOI: 10.1002/hyp.8329
    [54]
    邵礼明, 张云, 孟婉婷, 等. 基于GNSS-R干雪深度检测的研究[J]. 电子设计工程, 2015, 23(17): 9-12.
    [55]
    张双成, 戴凯阳, 刘凯, 等. GPS-MR技术用于降雪厚度监测研究[J]. 地球物理学进展, 2016, 31(4): 1879-1884.
    [56]
    黄良珂, 周威, 刘立龙, 等. 基于GPS新型L5信号的地表雪深反演研究[J]. 测绘通报, 2019(7): 1-5,11.
    [57]
    张志, 刘立龙, 吴昊舰, 等. 融合VMD算法的多星GNSS-MR雪深反演[J/OL]. (2023-01-10)[2023-02-16].桂林理工大学学报, 2023: 1-9. http://kns.cnki.net/kcms/detail/45.1375.N.20220902.1342.002.html
    [58]
    ZHANG Z Y, GUO F, ZHANG X H, et al. Physical modeling and compensation for systematic negative errors in GNSS-R snow depth retrieval[J]. IEEE transactions on geoscience and remote sensing, 2023, 61: 1-12. DOI: 10.1109/TGRS.2023.3260808
    [59]
    CHEW C, SMALL E. Soil moisture sensing using spaceborne GNSS reflections: comparison of CYGNSS reflectivity to SMAP soil moisture[J]. Geophysical research letters, 2018, 45(9): 4049-4057. DOI: 10.1029/2018GL077905
    [60]
    宁美玲. 基于多源时空数据的城区GNSS异常区域检测方法研究[D]. 武汉: 武汉大学, 2019.
    [61]
    LOWE, CHEW, SHAH, et al. An aircraft wetland inundation experiment using GNSS reflectometry[J]. Remote sensing, 2020, 12(3): 512. DOI: 10.3390/rs12030512
    [62]
    MARZI D, GAMBA P. Inland water body mapping using multi-temporal sentinel-1 SAR Data[J]. IEEE journal of selected topics in applied earth observations and remote sensing, 2021, 14(99): 11789-11799. DOI: 10.1109/JSTARS.2021.3127748
    [63]
    陈璞, 杨鑫丽, 汪俊涛. GNSS反射遥感在安徽省洪涝灾害监测中的应用研究[J]. 安徽建筑, 2022, 29(1): 176-177. DOI: 10.16330/j.cnki.1007-7359.2022.01.080
    [64]
    WANG J, HU Y F, LI Z H. A new coherence detection method for mapping inland water bodies using CYGNSS data[J]. Remote sensing, 2022, 14(13): 3195. DOI: 10.3390/rs14133195
    [65]
    MORRIS M, NGUYEN H, BONNEMA M, et al. A probabilistic approach to mapping inland water bodies with GNSS-R[C]//IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium, 2022.
    [66]
    YAN Q Y, CHEN Y H, JIN S G, et al. Inland water mapping based on GA-LinkNet from CyGNSS data[J]. IEEE geoscience and remote sensing letters, 2022(20): 99. DOI: 10.1109/LGRS.2022.3227596
    [67]
    白伟华, 夏俊明, 万玮, 等. 中国GNSS-R机载实验综合评估: 河流遥感[J]. 科学通报, 2015, 60(24): 2356.
    [68]
    赵丹阳, 孙越强, 白伟华, 等. 机载GNSS-R三维数据分析系统设计与实现[J]. 遥感信息, 2016, 31(2): 120-123.
    [69]
    PHUONG L V, FRAPPART F, DARROZES J, et al. Comparison of water level changes in the mekong river using GNSS reflectometry, satellite altimetry and in-situ tide/river gauges[C]// IEEE International Geoscience and Remote Sensing Symposium, 2018.
    [70]
    LI W Q, CARDELLACH E, FABRA F, et al. Applications of spaceborne GNSS-R over inland waters and wetlands[C]// International Geoscience and Remote Sensing Symposium, 2019.
    [71]
    WARNOCK A, RUF C. Response to variations in river flowrate by a spaceborne GNSS-R river width estimator[J]. Remote sensing, 2019, 11(20): 2450. DOI: 10.3390/rs11202450
    [72]
    ZEIGER P, FRAPPART F, DARROZES J, et al. SNR-Based water height retrieval in rivers: application to high amplitude asymmetric tides in the garonne river[J]. Remote sensing, 2021, 13(9): 1856. DOI: 10.3390/rs13091856
    [73]
    王峰, 杨鹏瑜, 杨东凯. GNSS-I/MR河流边界及水位测量: 理论与仿真[J/OL]. (2023-01-10)[2023-01-20]. 北京航空航天大学学报, 2023: 1-15.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(5)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (457) PDF downloads(104) Cited by()
    Proportional views
    Related

    Copyright © 2009《 GNSS World of China 》 Editorial Office

    Address：84 Jianshe Dong Lu, Muye District, Xinxiang City, Henan Province, ChinaChina Pos：453000Tel：0373-3712411Fax：0373-3052232Email：qqdwxt@126.com

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return