GIS-based Analysis of Coastal Lidar Time-Series (Paperback, 2014 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	SpringerBriefs in Computer Science
Release date:	September 2014
First published:	2014
Authors:	Eric Hardin • Helena Mitasova • Laura Tateosian • Margery Overton
Dimensions:	235 x 155 x 5mm (L x W x T)
Format:	Paperback
Pages:	84
Edition:	2014 ed.
ISBN-13:	978-1-4939-1834-8
Categories:	Books > Earth & environment > Geography > Physical geography > Deltas, estuaries, coastal regions Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
LSN:	1-4939-1834-6
Barcode:	9781493918348

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