Coastline extraction using remote sensing: a review

被引:45
作者
Sun, Weiwei [1 ]
Chen, Chao [2 ]
Liu, Weiwei [1 ]
Yang, Gang [1 ]
Meng, Xiangchao [3 ]
Wang, Lihua [1 ]
Ren, Kai [1 ]
机构
[1] Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo, Zhejiang, Peoples R China
[2] Suzhou Univ Sci & Technol, Sch Geog Sci & Geomatics Engn, Suzhou, Jiangsu, Peoples R China
[3] Ningbo Univ, Fac Elect Engn & Comp Sci, Ningbo, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Coastline; remote sensing; image analysis; review; implementation; TASSELED CAP TRANSFORMATION; GRADIENT VECTOR FLOW; DEEP LEARNING-MODEL; SHORELINE CHANGES; COASTAL ZONE; SATELLITE IMAGES; INFORMATION EXTRACTION; EDGE-DETECTION; GIS TECHNIQUES; CLIMATE-CHANGE;
D O I
10.1080/15481603.2023.2243671
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Coastlines are important basic geographic elements and mapping their spatial and attribute changes can help monitor, model and manage coastal zones. Traditional studies focused on the accuracy of extraction methods and the evolution characteristics of coastlines. Thanks to the advances in remote sensing for earth observations, recent coastline extraction studies can reveal detailed ocean-land interaction changes. In this review, we aim to identify key milestones in coastline extraction using remote sensing by associating the emergence of major research topics with the occurrence of multiple application fields, multiple data sources, and multiple algorithms. Specifically, we define coastlines that can be applied to different application fields, summarize the characteristics of coastline products, and analyze the principles, advantages and disadvantages of methods. On this basis, we discussed the development direction and the challenges involved. This study provides practical insights that can be incorporated into the future development of coastline extraction approaches using remote sensing technologies.
引用
收藏
页数:26
相关论文
共 195 条
  • [41] Defense Mapping Agency, 1988, PROD SPEC WORLD VECT
  • [42] Dervisoglu A., 2020, International Journal of Environment Geoinformatics, V7, P213, DOI [https://doi.org/10.30897/ijegeo.713307, DOI 10.30897/IJEGEO.713307]
  • [43] Fuzzy Classification for Shoreline Change Monitoring in a Part of the Northern Coastal Area of Java']Java, Indonesia
    Dewi, Ratna Sari
    Bijker, Wietske
    Stein, Alfred
    Marfai, Muh Aris
    [J]. REMOTE SENSING, 2016, 8 (03)
  • [44] Dharampal V., 2015, Journal of Electrical Electronic Systems, V4
  • [45] Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine
    Dong, Jinwei
    Xiao, Xiangming
    Menarguez, Michael A.
    Zhang, Geli
    Qin, Yuanwei
    Thau, David
    Biradar, Chandrashekhar
    Moore, Berrien, III
    [J]. REMOTE SENSING OF ENVIRONMENT, 2016, 185 : 142 - 154
  • [46] Water Bodies' Mapping from Sentinel-2 Imagery with Modified Normalized Difference Water Index at 10-m Spatial Resolution Produced by Sharpening the SWIR Band
    Du, Yun
    Zhang, Yihang
    Ling, Feng
    Wang, Qunming
    Li, Wenbo
    Li, Xiaodong
    [J]. REMOTE SENSING, 2016, 8 (04)
  • [47] Short-time analysis of shoreline based on RapidEye satellite images in the terminal area of Pecem Port, Ceara, Brazil
    Duarte, Cynthia Romariz
    de Miranda, Fernando Pellon
    Landau, Luiz
    Silva Souto, Michael Vandesteen
    Beltrao Sabadia, Jose Antonio
    da Silva Neto, Claudio Angelo
    de Castro Rodrigues, Linara Ivina
    Damasceno, Aline Moreira
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 39 (13) : 4376 - 4389
  • [48] Change detection of the coastal zone east of the Nile Delta using remote sensing
    El-Asmar, H. M.
    Hereher, M. E.
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2011, 62 (04) : 769 - 777
  • [50] Emerging signals of coastal system changes under rapid anthropogenic disturbance in Hangzhou Bay, China
    Fan, Chao
    Hou, Xiyong
    Zheng, Qian
    Xu, He
    Li, Dong
    Donnici, Sandra
    Tang, Cheng
    [J]. ECOLOGICAL INDICATORS, 2023, 146