{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T16:10:52Z","timestamp":1783613452864,"version":"3.55.0"},"reference-count":105,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2017,8,8]],"date-time":"2017-08-08T00:00:00Z","timestamp":1502150400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002341","name":"Academy of Finland","doi-asserted-by":"publisher","award":["293389"],"award-info":[{"award-number":["293389"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002341","name":"Academy of Finland","doi-asserted-by":"publisher","award":["307362"],"award-info":[{"award-number":["307362"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002341","name":"Academy of Finland","doi-asserted-by":"publisher","award":["292735"],"award-info":[{"award-number":["292735"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003406","name":"Finnish Funding Agency for Innovation","doi-asserted-by":"publisher","award":["7031\/31\/2016"],"award-info":[{"award-number":["7031\/31\/2016"]}],"id":[{"id":"10.13039\/501100003406","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/ijgi6080243","type":"journal-article","created":{"date-parts":[[2017,8,8]],"date-time":"2017-08-08T10:28:08Z","timestamp":1502188088000},"page":"243","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Nationwide Point Cloud\u2014The Future Topographic Core Data"],"prefix":"10.3390","volume":"6","author":[{"given":"Juho-Pekka","family":"Virtanen","sequence":"first","affiliation":[{"name":"School of Engineering, Aalto University, P.O. Box 14100, FI-00076 Aalto, Finland"},{"name":"Finnish Geospatial Research Institute FGI, Geodeetinrinne 2, FI-02430 Masala, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3841-6533","authenticated-orcid":false,"given":"Antero","family":"Kukko","sequence":"additional","affiliation":[{"name":"Finnish Geospatial Research Institute FGI, Geodeetinrinne 2, FI-02430 Masala, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4796-3942","authenticated-orcid":false,"given":"Harri","family":"Kaartinen","sequence":"additional","affiliation":[{"name":"Finnish Geospatial Research Institute FGI, Geodeetinrinne 2, FI-02430 Masala, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anttoni","family":"Jaakkola","sequence":"additional","affiliation":[{"name":"Finnish Geospatial Research Institute FGI, Geodeetinrinne 2, FI-02430 Masala, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tuomas","family":"Turppa","sequence":"additional","affiliation":[{"name":"Finnish Geospatial Research Institute FGI, Geodeetinrinne 2, FI-02430 Masala, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hannu","family":"Hyypp\u00e4","sequence":"additional","affiliation":[{"name":"School of Engineering, Aalto University, P.O. 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