Dealing with LIDAR data in the context of database management systems calls for a re-assessment of their functionality, performance, and storage/processing limitations. The territory for efficient and scalable processing of LIDAR repositories using GIS enabled database systems is still largely unexplored. Bringing together hard core database management experts and GIS application developers is a sine qua non to advance the state of the art. In particular to assess the relative merits of both traditional row-based database engines and the modern column-oriented database engines.
Additional Metadata
Keywords GIS, Database systems, MonetDB
ACM Database Applications (acm H.2.8)
THEME Information (theme 2)
Editor P. Baumann (Peter)
Project Commit: Time Trails (P019)
Conference Free and Open Source Software for Geospatial in Europe
Kersten, M.L, Ivanova, M.G, Pereira Goncalves, R.A, & Martinez-Rubi, O. (2014). A column-store meets the point clouds. In P Baumann (Ed.), .