GIS-based Analysis of Coastal Lidar Time-Series / SpringerBriefs in Computer Science (PDF)
(Sprache: Englisch)
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...
sofort als Download lieferbar
eBook (pdf)
53.49 €
26 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „GIS-based Analysis of Coastal Lidar Time-Series / SpringerBriefs in Computer Science (PDF)“
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.
Bibliographische Angaben
- Autoren: Eric Hardin , Helena Mitasova , Laura Tateosian , Margery Overton
- 2014, 2014, 84 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1493918354
- ISBN-13: 9781493918355
- Erscheinungsdatum: 12.09.2014
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 4.14 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kommentar zu "GIS-based Analysis of Coastal Lidar Time-Series / SpringerBriefs in Computer Science"
0 Gebrauchte Artikel zu „GIS-based Analysis of Coastal Lidar Time-Series / SpringerBriefs in Computer Science“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "GIS-based Analysis of Coastal Lidar Time-Series / SpringerBriefs in Computer Science".
Kommentar verfassen