EAN: 9781493918348

SPRINGERBRIEFS IN COMPUTER SCIENCE GIS-BASED ...

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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