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Open AccessCommunication

Nationwide Point Cloud—The Future Topographic Core Data

School of Engineering, Aalto University, P.O. Box 14100, FI-00076 Aalto, Finland
Finnish Geospatial Research Institute FGI, Geodeetinrinne 2, FI-02430 Masala, Finland
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2017, 6(8), 243;
Received: 7 June 2017 / Revised: 7 July 2017 / Accepted: 3 August 2017 / Published: 8 August 2017
PDF [6595 KB, uploaded 8 August 2017]


Topographic databases maintained by national mapping agencies are currently the most common nationwide data sets in geo-information. The application of laser scanning as source data for surveying is increasing. Along with this development, several analysis methods that utilize dense point clouds have been introduced. We present the concept of producing a dense nationwide point cloud, produced from multiple sensors and containing multispectral information, as the national core data for geo-information. Geo-information products, such as digital terrain and elevation models and 3D building models, are produced automatically from these data. We outline the data acquisition, processing, and application of the point cloud. As a national data set, a dense multispectral point cloud could produce significant cost savings via improved automation in mapping and a reduction of overlapping surveying efforts. View Full-Text
Keywords: point cloud; multispectral; laser scanning; mobile laser scanning; data integration point cloud; multispectral; laser scanning; mobile laser scanning; data integration

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Virtanen, J.-P.; Kukko, A.; Kaartinen, H.; Jaakkola, A.; Turppa, T.; Hyyppä, H.; Hyyppä, J. Nationwide Point Cloud—The Future Topographic Core Data. ISPRS Int. J. Geo-Inf. 2017, 6, 243.

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