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A Simple, Fully Automated Shoreline Detection Algorithm For High-Resolution Multi-Spectral Imagery



Details

  • Journal Title:
    Remote Sensing
  • Personal Author:
  • NOAA Program & Office:
    Sea Grant
  • Sea Grant Program:
    ILIN (Illinois-Indiana Sea Grant)
  • Description:
    This paper develops and validates a new fully automated procedure for shoreline delineation from high-resolution multispectral satellite images. The model is based on a new water–land index, the Direct Difference Water Index (DDWI). A new technique based on the buffer overlay method is also presented to determine the shoreline changes from different satellite images and obtain a time series for the shoreline changes. The shoreline detection model was applied to imagery from multiple satellites and validated to have sub-pixel accuracy using beach survey data that were collected from the Lake Michigan (USA) shoreline using a novel backpack-based LiDAR system. The model was also applied to 132 satellite images of a Lake Michigan beach over a three-year period and detected the shoreline accurately, with a >99% success rate. The model out-performed other existing shoreline detection algorithms based on different water indices and clustering techniques. The resolution shoreline position timeseries is the first satellite image-extracted dataset of its kind in terms of its high spatial and temporal resolution, and paves the road to obtaining other high-temporal-resolution datasets to refine models of beaches worldwide.
  • Keywords:
  • Source:
    Remote Sensing, 14(3), 557
  • DOI:
  • ISSN:
    2072-4292
  • Format:
    PDF
  • Publisher:
    MDPI AG
  • Document Type:
    Journal Article
  • Funding:
  • License:
  • Rights Information:
    CC BY
  • Compliance:
    Submitted
  • Main Document Checksum:
    urn:sha256:8d7bff16559aea8621ca328229bf2d38d510662a8ea3537ade63c202482d188c
  • Download URL:
  • File Type:
    Filetype[PDF - 5.59 MB ]
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