海岸线对于海岸带保护与管理具有重要意义。海岸线现场测绘施测周期长且在地形复杂的区域施测难度大,基于遥感影像的海岸线判绘对解译人员的要求高,难以获取严格意义的海岸线。针对上述问题,本文提出一种基于机载LiDAR与潮汐推算的自然岸线遥感提取方法:基于机载LiDAR系统获取的航空正射影像解译瞬时水边线,应用LiDAR系统提取的DEM和建立的高程系统转换模型,通过潮汐数据推算研究区域的海岸线。通过与“908专项”航空遥感调查岸线结果比对,按本文方法所提取的3种自然岸线(砂质岸线、基岩岸线和淤泥质岸线)的均方根误差分别为1.66,5.23和32.48 m。结果表明,该方法可用于砂质岸线和基岩岸线的提取,且具有无需开展现场测量工作的优势,可提高海岸线提取的效率。
Abstract
Coastline is of great importance for coast protection and management. Traditional coastline draughting methods are mainly based on field mapping and remotely sensed images. Field mapping is usually time consuming and difficult to carried out in complicated area. Coastline interpretation requires high criterion for operators and the proper coastline is hard to extract. Aiming at the problems mentioned above, a coastline extraction method for natural coastline based on airborne LiDAR data and tidal estimation was proposed and Feiyantan and Zhifu Island were chosen as study area in this research. Instantaneous water edge was firstly extracted from ortho-rectified images acquired by airborne LiDAR system. Coastline of study area was estimated through tidal data, by utilizing inter-conversion model of elevation system and DEM retrieved by airborne LiDAR system. Compared with “908 coastline”, the RMSE of 3 types of natural coastline (sandy coastline, rocky coastline and silty coastline) extracted using this method are 1.66 m, 5.23 m and 32.48 m, individually. Results show that the method established in this research is efficient and capable of extracting sandy coastline and rocky coastline, without the need of field mapping.
关键词
海岸线提取 /
LiDAR /
遥感
Key words
coastline extraction /
LiDAR /
remote sensing
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] GB/T 18190—2000 Oceanological terminology: Marine geology[S]. 2000.
GB/T 18190—2000海洋学术语:海洋地质学[S].2000.
[2] XIA Dong-xing, DUAN Yan, WU Sang-yun. Study on the methodology of recent coastline delimitation[J]. Journal of Marine Science,2009,27(7):28-33.
夏东兴,段焱,吴桑云.现代海岸线划定方法研究[J].海洋学研究,2009,27(7):28-33.
[3] BAPTISTA P, CUNHA T, BERNARDES C, et al. A precise and efficient methodology to analyse the shoreline displacement rate[J]. Journal of Coastal Research,2011,27(2):223-232.
[4] ZENG Qing-liu. Shoreline change analysis of Shandong province on remote sensing since 1986[D]. Shandong: Shandong University of Science and Technology,2012.
曾庆留.1986年以来山东省海岸线变迁遥感分析[D].山东:山东科技大学,2012.
[5] WANG Juan, BU Zhi-guo, CUI Xian-guo, et al. Application of remote sensing technology in coastal zone monitoring—As an example of Tianjin Binhai New Area[J]. Journal of Shandong University of Science and Technology: Natural Science,2010,29(3):20-25.
王娟,卜志国,崔先国,等.遥感技术在海岸带监测中的应用——以天津滨海新区为例[J].山东科技大学学报:自然科学版,2010,29(3):20-25.
[6] WANG Li-juan, NIU Zheng, ZHAO De-gang, et al. The study of coastline extraction and validation using ETM remote sensing image[J]. Remote Sensing Technology and Application,2010,25(2):235-239.
王李娟,牛铮,赵德刚,等.基于ETM遥感影像的海岸线提取与验证研究[J].遥感技术与应用,2010,25(2):235-239.
[7] CHU Z X, SUN X G, ZHAI S K, et al. changing pattern of accretion/erosion of the modern Yellow River(Huanghe) subaerial delta, China: Based on remote sensing images[J]. Marine Geology,2006,227(1/2):13-30.
[8] SEMIH E. Coastline change assessment at the Aegean Sea coasts in Turkey using multitemporal landsat imagery[J]. Journal of Coastal Research,2007,23(3):691-698.
[9] AHMAD S R, LAKHAN V C. GIS-based analysis and modeling of coastline advance and retreat along the coast of Guyana[J]. Marine Geodesy,2012,35(1):1-15.
[10] SAGHEER A A,HUMADE A, AL-JABALI A M O.Monitoring of coastline changes along the Red Sea based on remote sensing technique[J]. Global Geology,2011,14(4):241-248.
[11] BAMASOUD A, BYRNE M L. Analysis of shoreline changes (1959—2004) in Point Pelee National Park, Canada[J]. Journal of Coastal Research,2011,27(5):839-846.
[12] NEBEL S H, TREMBANIS A C, BARBER D C. Shoreline analysis and barrier island dynamics: Decadal scale patterns from Cedar Island, Virginia[J]. Journal of Coastal Research,2012,28(2):332-341.
[13] SUN Wei-fu, MA Yi, ZHANG Jie, et al. Study of remote sensing interpretation keys and extraction technique of different types of shoreline[J]. Bulletin of Surveying and Mapping,2011(3):45-48.
孙伟富,马毅,张杰,等.不同类型海岸线遥感解译标志建立和提取方法研究[J].测绘通报,2011(3):45-48.
[14] ROBERTSON W, WHITMAN D, ZHANG K, et al. Mapping shoreline position using airborne laser altimetry[J]. Journal of Coastal Research,2004,20(3):884-892.
[15] LIU H, SHERMAN D, GU S. Automated extraction of shorelines from airborne light detection and ranging data and accuracy assessment based on Monte Carlo simulation[J]. Journal of Coastal Research,2007,23(6):1 359-1 369.
[16] DERONDE B, HOUTHUYS R, HENRIET J P, et al. Monitoring of the sediment dynamics along a sandy shoreline by means of airborne hyperspectral remote sensing and LIDAR: A case study in Belgium[J]. Earth Surf Process Landforms,2008,33(2):280-294.
[17] WHITE S A, PARRISH C E, CALDER B R, et al. LIDAR-derived national shoreline: Empirical and stochastic uncertainty analyses[J]. Journal of Coastal Research,2011(Special Issue 62):62-74.
[18] LIU Shan-wei, ZHANG Jie, MA Yi, et al. Coastline extraction method based on remote sensing and DEM[J]. Remote Sensing Technology and Application,2011,26(5):613-618.
刘善伟,张杰,马毅,等.遥感与DEM相结合的海岸线高精度提取方法[J].遥感技术与应用,2011,26(5):613-618.
[19] ZHANG L, MA H C, WU J W. Utilization of LiDAR and tidal gauge data for automatic extracting high and low tide lines[J]. Journal of Remote Sensing,2012,16(2):405-416.
[20] YING Ming, LI Jiu-fa, CHEN Shen-liang, et al. Dynamics characteristics and topographic profile shaping process of Feiyan Shoal at the Yellow River Delta[J]. Marine Science Bulletin,2008,10(2):74-88.
应铭,李九发,陈沈良,等.黄河三角洲飞雁滩动力特征与地形剖面塑造[J].海洋通报,2008,10(2):74-88.
基金
我国近海海洋综合调查与评价专项项目资助(908-01-WY02,908-01-HY); 中欧合作“龙计划”三期项目资助(10470)
PDF(2040 KB)
