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GIS-based Analysis of Coastal Lidar Time-Series

  • Book
  • © 2014

Overview

Authors:
  1. Eric Hardin

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

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  2. Helena Mitasova

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

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    You can also search for this author in PubMed   Google Scholar

  3. Laura Tateosian

    1. Center for Earth Observation, North Carolina State University, Raleigh, USA

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  4. Margery Overton

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

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

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-vi
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  2. Introduction

    • Eric Hardin, Helena Mitasova, Laura Tateosian, Margery Overton
    Pages 1-6

  3. Processing Coastal Lidar Time Series

    • Eric Hardin, Helena Mitasova, Laura Tateosian, Margery Overton
    Pages 7-25

  4. Raster-Based Analysis

    • Eric Hardin, Helena Mitasova, Laura Tateosian, Margery Overton
    Pages 27-34

  5. Feature Extraction and Feature Change Metrics

    • Eric Hardin, Helena Mitasova, Laura Tateosian, Margery Overton
    Pages 35-62

  6. Volume Analysis

    • Eric Hardin, Helena Mitasova, Laura Tateosian, Margery Overton
    Pages 63-70

  7. Visualizing Coastal Change

    • Eric Hardin, Helena Mitasova, Laura Tateosian, Margery Overton
    Pages 71-80

  8. Back Matter

    Pages 81-84
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Keywords

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.

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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