Nationwide point cloud-The future topographic core data
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor | Aalto University | en |
| dc.contributor.author | Virtanen, Juho Pekka | en_US |
| dc.contributor.author | Kukko, Antero | en_US |
| dc.contributor.author | Kaartinen, Harri | en_US |
| dc.contributor.author | Jaakkola, Anttoni | en_US |
| dc.contributor.author | Turppa, Tuomas | en_US |
| dc.contributor.author | Hyyppä, Hannu | en_US |
| dc.contributor.author | Hyyppä, Juha | en_US |
| dc.contributor.department | Department of Built Environment | en |
| dc.contributor.groupauthor | MeMo | en |
| dc.date.accessioned | 2018-05-22T14:32:39Z | |
| dc.date.available | 2018-05-22T14:32:39Z | |
| dc.date.issued | 2017-08-01 | en_US |
| dc.description.abstract | 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. | en |
| dc.description.version | Peer reviewed | en |
| dc.format.extent | 18 | |
| dc.format.mimetype | application/pdf | en_US |
| dc.identifier.citation | Virtanen, J P, Kukko, A, Kaartinen, H, Jaakkola, A, Turppa, T, Hyyppä, H & Hyyppä, J 2017, 'Nationwide point cloud-The future topographic core data', ISPRS International Journal of Geo-Information, vol. 6, no. 8, 243. https://doi.org/10.3390/ijgi6080243 | en |
| dc.identifier.doi | 10.3390/ijgi6080243 | en_US |
| dc.identifier.issn | 2220-9964 | |
| dc.identifier.other | PURE UUID: 2dd56de7-6593-4ec7-aa93-29c3eef258e1 | en_US |
| dc.identifier.other | PURE ITEMURL: https://research.aalto.fi/en/publications/2dd56de7-6593-4ec7-aa93-29c3eef258e1 | en_US |
| dc.identifier.other | PURE FILEURL: https://research.aalto.fi/files/20593439/ijgi_06_00243.pdf | |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/30834 | |
| dc.identifier.urn | URN:NBN:fi:aalto-201805222274 | |
| dc.language.iso | en | en |
| dc.publisher | MDPI AG | |
| dc.relation.ispartofseries | ISPRS International Journal of Geo-Information | en |
| dc.relation.ispartofseries | Volume 6, issue 8 | en |
| dc.rights | openAccess | en |
| dc.subject.keyword | Data integration | en_US |
| dc.subject.keyword | Laser scanning | en_US |
| dc.subject.keyword | Mobile laser scanning | en_US |
| dc.subject.keyword | Multispectral | en_US |
| dc.subject.keyword | Point cloud | en_US |
| dc.title | Nationwide point cloud-The future topographic core data | en |
| dc.type | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä | fi |
| dc.type.version | publishedVersion |