Citation: | WANG F,YANG P Y,YANG D K. Theories and simulations of river boundary and level measurement using GNSS-I/MR[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(6):1877-1887 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0529 |
This paper explored the feasibility of extracting the river boundary and measuring the river level using global navigation satellite system-interferometric/multipath reflectometry (GNSS-I/MR) from its geometry and theoretical models. Based on the difference in the dielectric constant between the bank and river and the fact that the bank has a slope relative to the river, two observational variables sensitive to river boundary, namely the reflected-to-direct ratio and the delay rate were defined. According to the estimated envelope and phase of carrier-to-noise ratio using Hilbert transform, this paper proposed the estimation method of the reflected-to-direct ratio based on a univariate quadratic equation and that of the delay rate based on linear fitting, as well as a 3-threshold maximum interclass variance-based algorithm to recognize river/bank and a looped fitting-based algorithm to extract the river boundary. The river level was measured based on the delay rate of the river surface. By setting up a simulation platform and designing two river scenarios, the effectiveness of the proposed method was verified through simulation.
[1] |
伍光和, 王乃昂, 胡双熙, 等. 自然地理学[M]. 4版. 北京: 高等教育出版社, 2008: 202-222.
WU G H, WANG N A, HU S X, et al. Physical geography[M]. 4th ed. Beijing: Higher Education Press, 2008: 202-222 (in Chinese).
|
[2] |
吴炳方. 流域遥感[M]. 北京: 科学出版社, 2019: 42.
WU B F. Watershed remote sensing[M]. Beijing: Science Press, 2019: 42 (in Chinese).
|
[3] |
中华人民共和国应急管理部. 2020 年全国自然灾害基本情况[EB/OL]. (2021-01-08)[2021-03-22]. https://www.mem.gov.cn/xw/yjglbgzdt/202101/t20210108_376745.shtml.
Ministry of Emergency Management of the People’s Republic of China. Baisc information of natural disasters in China in 2020[EB/OL]. (2021-01-08)[2021-03-22]. https://www.mem.gov.cn/xw/yjglbgzdt/202101/t20210108_376745.shtml(in Chinese).
|
[4] |
史卓琳, 黄昌. 河流水情要素遥感研究进展[J]. 地理科学进展, 2020, 39(4): 670-684. doi: 10.18306/dlkxjz.2020.04.014
SHI Z L, HUANG C. Recent advances in remote sensing of river characteristics[J]. Progress in Geography, 2020, 39(4): 670-684 (in Chinese). doi: 10.18306/dlkxjz.2020.04.014
|
[5] |
KINOSHITA R, UTAMI T, UENO T. Image processing for aerial photographs of flood flow[J]. Journal of the Japan Society of Photogrammetry and Remote Sensing, 1990, 29(6): 4-17. doi: 10.4287/jsprs.29.6_4
|
[6] |
COSTA J E, CHENG R T, HAENI F P, et al. Use of radars to monitor stream discharge by noncontact methods[J]. Water Resources Research, 2006, 42(7): W07422.
|
[7] |
LYZENGA D R. Passive remote sensing techniques for mapping water depth and bottom features[J]. Applied Optics, 1978, 17(3): 379-383. doi: 10.1364/AO.17.000379
|
[8] |
VILLADSEN H, ANDERSEN O B, STENSENG L, et al. CryoSat-2 altimetry for river level monitoring—Evaluation in the Ganges-Brahmaputra River Basin[J]. Remote Sensing of Environment, 2015, 168: 80-89. doi: 10.1016/j.rse.2015.05.025
|
[9] |
BRAKENRIDGE G R, NGHIEM S V, ANDERSON E, et al. Space-based measurement of river runoff[J]. Eos, Transactions American Geophysical Union, 2005, 86(19): 185-188.
|
[10] |
HALL C D, CORDEY R A. Multistatic scatterometry[C]//Proceedings of the International Geoscience and Remote Sensing Symposium, 'Remote Sensing: Moving Toward the 21st Century'. Piscataway: IEEE Press, 2002: 561-562.
|
[11] |
MARTIN-NEIRA M. A pasive reflectometry and interferometry system (PARIS) application to ocean altimetry[J]. ESA Journal, 1993, 17(4): 331-355.
|
[12] |
杨东凯, 王峰. GNSS反射信号海洋遥感方法及应用[M]. 北京: 科学出版社, 2020: 15-16.
YANG D K, WANG F. Method and application of ocean remote sensing based on GNSS reflection signal[M]. Beijing: Science Press, 2020: 15-16 (in Chinese).
|
[13] |
DAHL-JENSEN T S, ANDERSEN O B, WILLIAMS S D P, et al. GNSS-IR measurements of inter annual sea level variations in Thule, Greenland from 2008—2019[J]. Remote Sensing, 2021, 13(24): 5077. doi: 10.3390/rs13245077
|
[14] |
王笑蕾, 何秀凤, 陈殊, 等. 地基GNSS-IR风速反演原理及方法初探[J]. 测绘学报, 2021, 50(10): 1298-1307. doi: 10.11947/j.AGCS.2021.20200586
WANG X L, HE X F, CHEN S, et al. Preliminary study on theory and method of ground-based GNSS-IR wind speed[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(10): 1298-1307 (in Chinese). doi: 10.11947/j.AGCS.2021.20200586
|
[15] |
GHIASI Y, DUGUAY C R, MURFITT J, et al. Application of GNSS interferometric reflectometry for the estimation of lake ice thickness[J]. Remote Sensing, 2020, 12(17): 2721. doi: 10.3390/rs12172721
|
[16] |
孙波, 梁勇, 汉牟田, 等. 基于GPS多星三频数据融合的GNSS-IR土壤湿度反演方法[J]. 北京航空航天大学学报, 2020, 46(6): 1089-1096.
SUN B, LIANG Y, HAN M T, et al. A method for GNSS-IR soil moisture inversion based on GPS multi-satellite and triple-frequency data fusion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(6): 1089-1096 (in Chinese).
|
[17] |
LI Y W, YU K G, CHANG X, et al. Estimation of wheat height with SNR observations collected by low-cost navigational GNSS chip and RHCP antenna[J]. IEEE Geoscience and Remote Sensing Letters, 1809, 19: 8024905.
|
[18] |
LARSON K M, NIEVINSKI F G. GPS snow sensing: Results from the EarthScope Plate Boundary Observatory[J]. GPS Solutions, 2013, 17(1): 41-52. doi: 10.1007/s10291-012-0259-7
|
[19] |
REINKING J. GNSS-SNR water level estimation using globaloptimization based on interval analysis[J]. Journal of Geodetic Science, 2016, 6(1): 80-92.
|
[20] |
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
|
[21] |
LI W Q, CARDELLACH E, FABRA F, et al. Lake level and surface topography measured with spaceborne GNSS-reflectometry from CYGNSS mission: Example for the Lake Qinghai[J]. Geophysical Research Letters, 2018, 45(24): 13332-13341.
|
[22] |
CARDELLACH E, LI W Q, RIUS A, et al. First precise spaceborne sea surface altimetry with GNSS reflected signals[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 13: 102-112.
|
[23] |
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
|
[24] |
BAI W H, XIA J M, WAN W, et al. A first comprehensive evaluation of China’s GNSS-R airborne campaign: Part II-river remote sensing[J]. Science Bulletin, 2015, 60(17): 1527-1534. doi: 10.1007/s11434-015-0869-x
|
[25] |
WANG F, ZHANG B, YANG D K, et al. Sea-state observation using reflected BeiDou GEO signals in frequency domain[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(11): 1656-1660. doi: 10.1109/LGRS.2016.2600620
|
[26] |
ZHANG Y, YAN Z Y, YANG S H, et al. Research on shore-based river flow velocity inversion model using GNSS-R raw data[J]. Remote Sensing, 2022, 14(5): 1170. doi: 10.3390/rs14051170
|
[27] |
NIEVINSKI F G, LARSON K M. Forward modeling of GPS multipath for near-surface reflectometry and positioning applications[J]. GPS Solutions, 2014, 18(2): 309-322. doi: 10.1007/s10291-013-0331-y
|
[28] |
洪学宝, 张波, 杨东凯, 等. 地基GNSS-R功率测量应用中的天线方向性影响分析[J]. 北京理工大学学报, 2021, 41(6): 658-664.
HONG X B, ZHANG B, YANG D K, et al. Antenna directivity effect analysis for ground-based GNSS-R power measurement applications[J]. Transactions of Beijing Institute of Technology, 2021, 41(6): 658-664 (in Chinese).
|
[29] |
何宜军, 陈忠彪, 李洪利. 海洋数据处理分析方法[M]. 北京: 科学出版社, 2021.
HE Y J, CHEN Z B, LI H L. Ocean data processing and analysis method[M]. Beijing: Science Press, 2021 (in Chinese).
|
[30] |
OTSU N. A threshold selection method from gray-level histograms[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1979, 9(1): 62-66. doi: 10.1109/TSMC.1979.4310076
|