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Feature Extraction and Feature Change Metrics

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GIS-based Analysis of Coastal Lidar Time-Series

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

Coastal change has been historically measured by metrics derived for specific coastal linear features such as shorelines. Linear features are also important for measuring sand dune migration based on the location of dune crests and slip faces and for prediction of coastal vulnerability. In this chapter we present methods for extracting shorelines, dune ridges, dune crests and building footprints from DEMs. Then we measure the change of these features and use them to map vulnerability to storms.

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Author information

Authors and Affiliations

  1. Department of Physics, North Carolina State University, Raleigh, NC, USA

    Eric Hardin

  2. Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USA

    Helena Mitasova

  3. Center for Geospatial Analytics, North Carolina State University, Raleigh, NC, USA

    Laura Tateosian

  4. Department of Civil, Construction and Environmental Engineering, North Carolina State University, Raleigh, NC, USA

    Margery Overton

Authors
  1. Eric Hardin
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  2. Helena Mitasova
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  3. Laura Tateosian
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  4. Margery Overton
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Hardin, E., Mitasova, H., Tateosian, L., Overton, M. (2014). Feature Extraction and Feature Change Metrics. In: GIS-based Analysis of Coastal Lidar Time-Series. SpringerBriefs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-1835-5_4

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  • DOI: https://doi.org/10.1007/978-1-4939-1835-5_4

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4939-1834-8

  • Online ISBN: 978-1-4939-1835-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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