LI Peng, PU Sixun, LI Zhenhong, WANG Houjie. Coastline Change Monitoring of Jiaozhou Bay from Multi-source SAR and Optical Remote Sensing Images Since 2000[J]. Geomatics and Information Science of Wuhan University, 2020, 45(9): 1485-1492. DOI: 10.13203/j.whugis20180483
Citation: LI Peng, PU Sixun, LI Zhenhong, WANG Houjie. Coastline Change Monitoring of Jiaozhou Bay from Multi-source SAR and Optical Remote Sensing Images Since 2000[J]. Geomatics and Information Science of Wuhan University, 2020, 45(9): 1485-1492. DOI: 10.13203/j.whugis20180483

Coastline Change Monitoring of Jiaozhou Bay from Multi-source SAR and Optical Remote Sensing Images Since 2000

Funds: 

The National Natural Science Foundation of China 41806108

the National Key Research and Development Program of China 2017YFE0133500

the National Key Research and Development Program of China 2016YFA0600903

Shandong Provincial Natural Science Foundation ZR2016DB30

China Postdoctoral Science Foundation 2016M592248

Qingdao Indigenous Innovation Program 16-5-1-25-jch

Fundamental Research Funds for the Central Universities 201713039

Qingdao Postdoctoral Application Research Project 

More Information
  • Author Bio:

    LI Peng, PhD, lecturer, specializes in remote sensing of coastal environment. E-mail: pengli@ouc.edu.cn

  • Corresponding author:

    LI Zhenhong, PhD, professor. E-mail: Zhenhong.Li@newcastle.ac.uk

  • Received Date: December 11, 2018
  • Published Date: September 04, 2020
  • Monitoring the dynamic changes of coastline is of great significance to the protection and development of coastal zone. Combined with multi-source synthetic aperture radar (SAR) satellite images and optical satellite remote sensing images, using rule-based object-oriented information extraction, combined with artificial visual correction, the coastline length and water area change information of Jiaozhou Bay are extracted every five years from 2000 to 2018. The results show that the coastline length of Jiaozhou Bay has increased by 43.5 km and the area of Jiaozhou Bay has shrunk by 24.9 km2 in the past 20 years. The coastline changes are mainly influenced by artificial factors such as offshore aquaculture activities, port construction, and natural factors such as river sediment accumulation and tidal action. From the point of view of three key areas, human factors have led to the change of coastline and the shrinkage of sea area in Jiaozhou Bay. The shoreline changes in three key areas of Jiaozhou Bay, namely, Red Island on the north coast, Yellow Island on the west coast and Qingdao on the east coast, show that the shoreline changes in Jiaozhou Bay are mainly influenced by human factors.
  • [1]
    涂晔昕, 沈玉莲, 卢艺, 等.使用多源遥感影像监测深圳市海岸线变迁[J].海洋开发与管理, 2016, 33(10): 83-88 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=hykfygl201610018

    Tu Yexin, Shen Yulian, Lu Yi, et al. Monitoring Coastline Changes of Shenzhen by Using Multi-source Remote Sensing Images[J]. Ocean Development and Management, 2016, 33(10):83-88 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=hykfygl201610018
    [2]
    李清泉, 卢艺, 胡水波, 等.海岸带地理环境遥感监测综述[J].遥感学报, 2016, 20(5): 1 216-1 229 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=ygxb201605042

    Li Qingquan, Lu Yi, Hu Shuibo, et al. Review of Remotely Sensed Geo-environmental Monitoring of Coastal Zones[J]. Journal of Remote Sensing, 2016, 20(5):1 216-1 229 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=ygxb201605042
    [3]
    Cui B, Li X, Chang X, et al. Remote Sensing Monitoring of Coastline Change in the Yellow River Estuary (1976—2005)[C]. The 3rd International Congress on Image and Signal Processing (CISP), Yantai, China, 2010
    [4]
    Li W, Peng G. Continuous Monitoring of Coastline Dynamics in Western Florida with a 30-year Time Series of Landsat Imagery[J]. Remote Sensing of Environment, 2016, 179: 196-209 doi: 10.1016/j.rse.2016.03.031
    [5]
    Braga F, Tosi L, Prati C, et al. Shoreline Detection: Capability of COSMO-SkyMed and High-resolution Multispectral Images[J]. European Journal of Remote Sensing, 2013, 46(6): 837-853 doi: 10.5721/EuJRS20134650
    [6]
    Demir N, Oy S, Erdem F, et al. Integrated Shoreline Extraction Approach with Use of RASAT MS and Sentinel-1A SAR Images[J]. ISPRS Ann Photogramm Remote Sens Spatial Inf Sci, 2017, IV-2/W4: 445-449 doi: 10.5194/isprs-annals-IV-2-W4-445-2017
    [7]
    张庆君.高分三号卫星总体设计与关键技术[J].测绘学报, 2017, 46(3): 269-277 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chxb201703002

    Zhang Qingjun. System Design and Key Technologies of the GF-3 Satellite[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(3):269-277 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chxb201703002
    [8]
    An M, Sun Q, Hu J, et al. Coastline Detection with Gaofen-3 SAR Images Using an Improved FCM Method[J]. Sensors, 2018, 18(6): 431 http://www.ncbi.nlm.nih.gov/pubmed/29891809
    [9]
    范剑超, 姜大伟, 赵建华, 等. GF-3号SAR卫星遥感围填海监测方法研究——以大连金州湾为例[J].海洋科学, 2017, 41(12): 60-65 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=hykx201712009

    Fan Jianchao, Jiang Dawei, Zhao Jianhua, et al. Marine Reclamation Monitoring Approach Research Based on GF-3 Remote Sensing Image: A Case Study of the Jinzhou Bay in Dalian[J]. Marine Sciences, 2017, 41(12): 60-65 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=hykx201712009
    [10]
    Le Maire G, Dupuy S, Nouvellon Y, et al. Mapping Short-rotation Plantations at Regional Scale Using MODIS Time Series: Case of Eucalypt Plantations in Brazil[J]. Remote Sensing of Environment, 2014, 152: 136-149 doi: 10.1016/j.rse.2014.05.015
    [11]
    冯永玖, 袁佳宇, 宋丽君, 等.杭州湾海岸线信息的遥感提取及其变迁分析[J].遥感技术与应用, 2015, 30(2): 345-352 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=ygjsyyy201502019

    Feng Yongjiu, Yuan Jiayu, Song Lijun, et al. Coastline Mapping and Change Detection Along Hangzhou Bay Using Remotely Sensed Imagery[J]. Remote Sensing Technology & Application, 2015, 30(2): 345-352 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=ygjsyyy201502019
    [12]
    宫良, 宋新华.中心湾区, 现代与文脉辉映[J].走向世界, 2017 (20): 12-15 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zxsj201720002

    Gong Liang, Song Xinhua. Modern and Traditional Context Add Radiance to Each Other in the Central Bay Area[J]. Openings, 2017 (20): 12-15 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zxsj201720002
    [13]
    隋燕, 张丽, 穆晓东, 等.海南岛海岸线变迁遥感监测与分析[J].海洋学研究, 2018, 36(2): 36-43 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dhhy201802005

    Sui Yan, Zhang Li, Mu Xiaodong, et al. Coastline Change Monitoring and Analysis with Remote Sensing in Hainan Island[J]. Journal of Marine Sciences, 2018, 36(2): 36-43 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dhhy201802005
    [14]
    高志强, 刘向阳, 宁吉才, 等.基于遥感的近30 a中国海岸线和围填海面积变化及成因分析[J].农业工程学报, 2014, 30(12): 140-147 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=nygcxb201412017

    Gao Zhiqiang, Liu Xiangyang, Ning Jicai, et al. Analysis on Changes in Coastline and Reclamation Area and Its Causes Based on 30-year Satellite Data in China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(12):140-147 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=nygcxb201412017
    [15]
    樊建勇.青岛及周边地区海岸线动态变化的遥感监测[D].青岛: 中国科学院研究生院(海洋研究所), 2005

    Fan Jianyong. Monitoring Dynamic Changes of Coastline Around Qingdao and Its Adjacent Coastal Zone Using Remote Sensing[D]. Qingdao: The Institute of Oceanology, Chinese Academy of Sciences, 2005
    [16]
    中国海湾志编纂委员会.中国海湾志[M].北京:海洋出版社, 1993

    China Gulf Chronicle Compilation Commission. China Gulf Chronicle[M]. Beijing:Ocean Publishing House, 1993
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