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Article

Evaluation of Different LiDAR Technologies for the Documentation of Forgotten Cultural Heritage under Forest Environments

by
Miguel Ángel Maté-González
1,2,3,*,
Vincenzo Di Pietra
1 and
Marco Piras
1
1
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, 10129 Torino, Italy
2
Department of Topographic and Cartography Engineering, Escuela Técnica Superior de Ingenieros en Topografía, Geodesia y Cartografía, Universidad Politécnica de Madrid, Mercator 2, 28031 Madrid, Spain
3
Department of Cartographic and Land Engineering, Higher Polytechnic School of Ávila, Universidad de Salamanca, Hornos Caleros 50, 05003 Ávila, Spain
*
Author to whom correspondence should be addressed.
Sensors 2022, 22(16), 6314; https://doi.org/10.3390/s22166314
Submission received: 29 July 2022 / Revised: 18 August 2022 / Accepted: 19 August 2022 / Published: 22 August 2022
(This article belongs to the Special Issue UAV Lidar System: Performance Assessment and Application)

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.
Keywords: LiDAR; terrestrial laser scanner; mobile mapping systems; airborne LiDAR sensor; unmanned aerial systems; cultural heritage; accuracy analysis; point cloud analysis LiDAR; terrestrial laser scanner; mobile mapping systems; airborne LiDAR sensor; unmanned aerial systems; cultural heritage; accuracy analysis; point cloud analysis

Share and Cite

MDPI and ACS Style

Maté-González, M.Á.; Di Pietra, V.; Piras, M. Evaluation of Different LiDAR Technologies for the Documentation of Forgotten Cultural Heritage under Forest Environments. Sensors 2022, 22, 6314. https://doi.org/10.3390/s22166314

AMA Style

Maté-González MÁ, Di Pietra V, Piras M. Evaluation of Different LiDAR Technologies for the Documentation of Forgotten Cultural Heritage under Forest Environments. Sensors. 2022; 22(16):6314. https://doi.org/10.3390/s22166314

Chicago/Turabian Style

Maté-González, Miguel Ángel, Vincenzo Di Pietra, and Marco Piras. 2022. "Evaluation of Different LiDAR Technologies for the Documentation of Forgotten Cultural Heritage under Forest Environments" Sensors 22, no. 16: 6314. https://doi.org/10.3390/s22166314

APA Style

Maté-González, M. Á., Di Pietra, V., & Piras, M. (2022). Evaluation of Different LiDAR Technologies for the Documentation of Forgotten Cultural Heritage under Forest Environments. Sensors, 22(16), 6314. https://doi.org/10.3390/s22166314

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