GIS-based Analysis of Coastal Lidar Time-Series

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 innovat...

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Hlavní autor: Hardin, Eric (Autor)
Další autoři: Mitasova, Helena (Autor)
Tateosian, Laura (Autor)
Overton, Margery (Autor)
Korporace: SpringerLink (online služba) (Distributor) 
Médium: E-kniha
Jazyk:angličtina
Vydáno: New York, NY : Springer New York : 2014
Edice:SpringerBriefs in Computer Science,
Žánr/forma:elektronické knihy
ISBN:9781493918355
On-line přístup:Plný text
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245 1 0 |a GIS-based Analysis of Coastal Lidar Time-Series /  |c by Eric Hardin, Helena Mitasova, Laura Tateosian, Margery Overton 
250 |a 1st ed. 2014 
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490 1 |a SpringerBriefs in Computer Science,  |x 2191-5768 
505 0 |a Introduction -- Processing coastal lidar time series -- Raster-based analysis -- Feature extraction and feature change metrics -- Volume analysis -- Visualizing coastal change -- Appendix 
520 |a 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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659 0 |a Geographical information systems 
659 0 |a Geography 
659 1 4 |a Geographical Information Systems/Cartography  |0 http://scigraph.springernature.com/things/product-market-codes/J13000 
659 2 4 |a Coastal Sciences  |0 http://scigraph.springernature.com/things/product-market-codes/G35020 
659 2 4 |a Geography, general  |0 http://scigraph.springernature.com/things/product-market-codes/J00000 
700 1 |a Mitasova, Helena  |4 aut 
700 1 |a Tateosian, Laura  |4 aut 
700 1 |a Overton, Margery  |4 aut 
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