Using airborne laser scanning data in urban data management: set up of a flexible information system with open source components
In recent years airborne laser scanning has evolved into the state-of-the-art technology for topographic data acquisition. Applications for urban areas are recently growing to a greater extent (e.g. building extraction). Airborne laser scanning produces large datasets of point measurements, which de...
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| Main Authors: | , , , |
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| Format: | Book/Monograph Working Paper |
| Language: | English |
| Published: |
Heidelberg
2006
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| DOI: | 10.11588/heidok.00036921 |
| Online Access: | Resolving-System, kostenfrei, Volltext: https://doi.org/10.11588/heidok.00036921 Verlag, kostenfrei, Volltext: https://archiv.ub.uni-heidelberg.de/volltextserver/36921 
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| Author Notes: | Bernhard Höfle, Martin Rutzinger, Thomas Geist and Johann Stötter |
MARC
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| 520 | |a In recent years airborne laser scanning has evolved into the state-of-the-art technology for topographic data acquisition. Applications for urban areas are recently growing to a greater extent (e.g. building extraction). Airborne laser scanning produces large datasets of point measurements, which demand for new strategies in data management. LISA (LIDAR Surface Analyses) is a concept for combining existing Open Source software for an efficient data management and analysis. The core components are the spatial database PostgreSQL/PostGIS, the geographical information system GRASS GIS and the statistical software R. Interfaces between the system components exist and therefore time-intensive data transfers are avoided. The open structure allows for developing workflows from simple applications to complex analysis. LISA is operationally used at the alpS - Centre for Natural Hazard Management. A large potential is given, for scientific applications as well as for operational tasks of public authorities | ||
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