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GIS-based Analysis of Coastal Lidar Time-Series

  • Book
  • © 2014

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

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About this book

This SpringerBrief presents the principles, methods, and workflows for processing and analyzing coastal LiDAR data time-series. Robust methods for computing high resolution digital elevation models (DEMs) are introduced as well as raster-based metrics for assessment of topographic change. An innovative approach to feature extraction and measurement of feature migration is followed by methods for estimating volume change and sand redistribution mapping. Simple methods for potential storm impacts and inundation pattern analysis are also covered, along with visualization techniques to support analysis of coastal terrain feature and surface dynamics. Hands-on examples in GRASS GIS and python scripts are provided for each type of analysis and visualization using public LiDAR data time-series. GIS-based Analysis of Coastal Lidar Time-Series is ideal for professors and researchers in GIS and earth sciences. Advanced-level students interested in computer applications and engineering will also find this brief a valuable resource.

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Table of contents (6 chapters)

Authors and Affiliations

  • Department of Physics, North Carolina State University, Raleigh, USA

    Eric Hardin

  • Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, USA

    Helena Mitasova

  • Center for Earth Observation, North Carolina State University, Raleigh, USA

    Laura Tateosian

  • Department of Civil, Construction and Environmental Engineering, North Carolina State University, Raleigh, USA

    Margery Overton

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