• DocumentCode
    2709698
  • Title

    Coastline monitoring with CEBERS 02B HR high-resolution data

  • Author

    Li, Zhen ; Li, Manchun ; Cheng, Liang ; Liu, Yongxue ; Cai, Wenting

  • Author_Institution
    Dept. of Geographic Inf. Sci., Nanjing Univ., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Coastline, as the interactive identification of sea-land intersection, has important instruction function to the recession of coastal beach and wetland ecosystem; also, the change of coastline is the result and comprehensive reflection of the interaction of the global environment changes, coastal environment change and human activities. Therefore, accurate extraction coastline and fully understand the dynamic changes of the coastline play an important role in scientific management and sustained utilization of coastal resources. This paper using CEBERS 02B HR images to monitor coastline changes, so as to master the coastline time-space distribution characteristics, changing rules and changing reasons, the main contents include: briefly expound the background, objectives and methods; establish coastline extraction method with CEBERS 02B HR image; select multi-phase images to extract coastline, analyze the results, monitor the coastline changes; and analyze the reason for the variation of the coastline and calculation the area of change places.
  • Keywords
    environmental monitoring (geophysics); oceanographic regions; oceanographic techniques; CEBERS 02B HR high-resolution data; coastal beach ecosystem; coastline monitoring; coastline time-space distribution characteristics; human activiy; sea-land intersection; wetland ecosystem; Image edge detection; Levee; Monitoring; Mouth; Rivers; Sea measurements; Sediments; CEBERS 02B HR; coastline; erosion; monitor; sedimentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980897
  • Filename
    5980897