GIS-based Analysis of Coastal Lidar Time-Series

2014
ISBN: 978-1-4939-1834-8
Verlag: Springer

Buch, Englisch, 84 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1533 g

Reihe: SpringerBriefs in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Hardin, Eric

Overton, Margery

Mitasova, Helena

Tateosian, Laura

Fachgebiete

• Geowissenschaften Geologie GIS, Geoinformatik
• Geowissenschaften Umweltwissenschaften Umweltüberwachung, Umweltanalytik, Umweltinformatik
• Geowissenschaften Geographie | Raumplanung Deltas, Flussmündungen, Küstenregionen

Inhaltsverzeichnis

Introduction.- Processing coastal lidar time series.- Raster-based analysis.- Feature extraction and feature change metrics.- Volume analysis.- Visualizing coastal change.- Appendix.