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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Hardin, Eric (Συγγραφέας), Mitasova, Helena (Συγγραφέας), Tateosian, Laura (Συγγραφέας), Overton, Margery (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2014.
Σειρά:SpringerBriefs in Computer Science,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Hardin, Eric.  |e author. 
245 1 0 |a GIS-based Analysis of Coastal Lidar Time-Series  |h [electronic resource] /  |c by Eric Hardin, Helena Mitasova, Laura Tateosian, Margery Overton. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2014. 
300 |a VI, 84 p. 35 illus., 34 illus. in color.  |b online resource. 
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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. 
650 0 |a Geography. 
650 0 |a Coasts. 
650 0 |a Geographical information systems. 
650 1 4 |a Geography. 
650 2 4 |a Geographical Information Systems/Cartography. 
650 2 4 |a Coastal Sciences. 
650 2 4 |a Geography, general. 
700 1 |a Mitasova, Helena.  |e author. 
700 1 |a Tateosian, Laura.  |e author. 
700 1 |a Overton, Margery.  |e author. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9781493918348 
830 0 |a SpringerBriefs in Computer Science,  |x 2191-5768 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4939-1835-5  |z Full Text via HEAL-Link 
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950 |a Computer Science (Springer-11645)