TY  - BOOK
AU  - Hardin,Eric
AU  - Mitasova,Helena
AU  - Tateosian,Laura
AU  - Overton,Margery
ED  - SpringerLink (Online service)
TI  - GIS-based Analysis of Coastal Lidar Time-Series
T2  - SpringerBriefs in Computer Science,
SN  - 9781493918355
AV  - GA1-1776 
U1  - 910.285 23
PY  - 2014///
CY  - New York, NY
PB  - Springer New York, Imprint: Springer
KW  - Geography
KW  - Geology
KW  - Geographical information systems
KW  - Geographical Information Systems/Cartography
KW  - Coastal Sciences
KW  - Geography (general)
N1  - Introduction -- Processing coastal lidar time series -- Raster-based analysis -- Feature extraction and feature change metrics -- Volume analysis -- Visualizing coastal change -- Appendix
N2  - 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
UR  - http://dx.doi.org/10.1007/978-1-4939-1835-5
ER  -