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Autor Hardin, Eric. author.

Título GIS-based Analysis of Coastal Lidar Time-Series [electronic resource] / by Eric Hardin, Helena Mitasova, Laura Tateosian, Margery Overton.

Descripción física VI, 84 p. 35 illus., 34 illus. in color. online resource.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Colección SpringerBriefs in Computer Science, 2191-5768
SpringerBriefs in Computer Science, 2191-5768
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Springer eBooks. Computer Science
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Contiene: Introduction -- Processing coastal lidar time series -- Raster-based analysis -- Feature extraction and feature change metrics -- Volume analysis -- Visualizing coastal change -- Appendix.
Resumen: 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.
Materia Geography.
Geographical information systems.
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Geographical Information Systems/Cartography.
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Coastal Sciences.
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Geography, general.
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Autor secundario Mitasova, Helena., author.
Tateosian, Laura., author.
Overton, Margery., author.
SpringerLink (Online service)
En Springer eBooks
OTRO SOPORTE Printed edition: 9781493918348
ISBN 9781493918355 978-1-4939-1835-5
ISBN/ISSN 10.1007/978-1-4939-1835-5 doi