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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Bibliographische Detailangaben
Hauptverfasser: Höfle, Bernhard (VerfasserIn) , Rutzinger, Martin (VerfasserIn) , Geist, Thomas (VerfasserIn) , Stötter, Johann (VerfasserIn)
Dokumenttyp: Book/Monograph Arbeitspapier
Sprache:Englisch
Veröffentlicht: Heidelberg 2006
DOI:10.11588/heidok.00036921
Online-Zugang:Resolving-System, kostenfrei, Volltext: https://doi.org/10.11588/heidok.00036921
Verlag, kostenfrei, Volltext: https://archiv.ub.uni-heidelberg.de/volltextserver/36921
Volltext
Verfasserangaben:Bernhard Höfle, Martin Rutzinger, Thomas Geist and Johann Stötter
Beschreibung
Zusammenfassung: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
Beschreibung:Aus: Proceedings of UDMS '06 : 25th Urban Data Management Symposium, Aalborg, Denmark, S. 7.11-7.24
Beschreibung:Online Resource
DOI:10.11588/heidok.00036921