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GIS-based Analysis of Coastal Lidar Time-Series
Hardin, Eric; Mitasova, Helena; Tateosian, Laura; Overton, Margery
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Description for GIS-based Analysis of Coastal Lidar Time-Series
paperback. Series: SpringerBriefs in Computer Science. Num Pages: 90 pages, 1 black & white illustrations, 34 colour illustrations, 2 black & white tables, biography. BIC Classification: RGBP; RGW. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 5. Weight in Grams: 156.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer United States
Number of pages
90
Condition
New
Series
SpringerBriefs in Computer Science
Number of Pages
84
Place of Publication
New York, United States
ISBN
9781493918348
SKU
V9781493918348
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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