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| dc.contributor.author | Maté-González, Miguel Ángel | |
| dc.contributor.author | Di Pietra, Vincenzo | |
| dc.contributor.author | Piras, Marco | |
| dc.date.accessioned | 2024-02-12T09:18:55Z | |
| dc.date.available | 2024-02-12T09:18:55Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | http://hdl.handle.net/10366/155696 | |
| dc.description.abstract | In the present work, three LiDAR technologies (Faro Focus 3D X130—Terrestrial Laser Scanner, TLS-, Kaarta Stencil 2–16—Mobile mapping system, MMS-, and DJI Zenmuse L1—Airborne LiDAR sensor, ALS-) have been tested and compared in order to assess the performances in surveying built heritage in vegetated areas. Each of the mentioned devices has their limits of usability, and different methods to capture and generate 3D point clouds need to be applied. In addition, it has been necessary to apply a methodology to be able to position all the point clouds in the same reference system. While the TLS scans and the MMS data have been geo-referenced using a set of vertical markers and sphere measured by a GNSS receiver in RTK mode, the ALS model has been geo-referenced by the GNSS receiver integrated in the unmanned aerial system (UAS), which presents different characteristics and accuracies. The resulting point clouds have been analyzed and compared, focusing attention on the number of points acquired by the different systems, the density, and the nearest neighbor distance. | es_ES |
| dc.language.iso | spa | |
| dc.subject | LiDAR | es_ES |
| dc.subject | Terrestrial laser scanner | es_ES |
| dc.subject | Mobile mapping systems | es_ES |
| dc.subject | Airborne LiDAR sensor | es_ES |
| dc.subject | Unmanned aerial systems | es_ES |
| dc.subject | Cultural heritage | es_ES |
| dc.subject | Accuracy analysis | es_ES |
| dc.subject | Point cloud analysis | es_ES |
| dc.title | Evaluation of Different LiDAR Technologies for the Documentation of Forgotten Cultural Heritage under Forest Environments | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.identifier.doi | 10.3390/s22166314 | |
| dc.relation.projectID | This work has been carried out in the framework of a research project funded by the European Union through a postdoctoral fellowship to one of the authors within the actions of Marie Skłodowska-Curie Individual Fellowships, H2020-MSCA-IF-2019 (grant agreement ID: 894785; AVATAR project “Application of Virtual Anastylosis Techniques for Architectural Research” (http://avatar.polito.it/, accessed on 20 July 2022). | es_ES |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
| dc.identifier.essn | 1424-8220 | |
| dc.journal.title | Sensors | es_ES |
| dc.volume.number | 22 | es_ES |
| dc.issue.number | 16 | es_ES |
| dc.page.initial | 6314 | es_ES |
| dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |







