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UAV Lidar System: Performance Assessment and Application

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 3314

Special Issue Editor


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Guest Editor
Department of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics, H-1111 Budapest, Hungary
Interests: laser scanning; GIS; remote sensing; mapping
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Unmanned Aerial Vehicles (UAVs) are able to carry various mapping sensors (e.g., different kinds of cameras, laser scanners) that enable them to efficiently survey large areas. UAV LiDAR is an emerging technology that has introduced the possibility for new applications, similar to the scenario that occurred 20 years ago when airborne laser scanning entered the airborne photogrammetry market. Besides their ability to provide accurate, high-resolution spatial data independently from sunlight, the main advantage of laser scanning is the laser beam’s ability to penetrate through vegetation, therefore allowing terrain points to be captured, even in forested areas. This is relevant for civil engineering construction projects, which require accurate, up-to-date terrain models, e.g., road/railway construction, flood modelling/simulation.

The current Special Issue “UAV Lidar System: Performance Assessment and Application” invites researchers to submit papers discussing the system design (including platform, positioning unit, sensors etc.), performance assessment (even through specific analysis or particular applications), application analysis (fulfilling application requirements), and data processing (engineering products derived from UAV LiDAR point cloud, segmentation/classification solutions) related to UAV LiDAR.

Dr. Tamás Lovas
Guest Editor

Manuscript Submission Information

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Keywords

  • UAV/UAS
  • UAV LiDAR
  • point cloud processing
  • accuracy assessment
  • engineering applications

Published Papers (1 paper)

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Research

26 pages, 13636 KiB  
Article
Evaluation of Different LiDAR Technologies for the Documentation of Forgotten Cultural Heritage under Forest Environments
by Miguel Ángel Maté-González, Vincenzo Di Pietra and Marco Piras
Sensors 2022, 22(16), 6314; https://0-doi-org.brum.beds.ac.uk/10.3390/s22166314 - 22 Aug 2022
Cited by 9 | Viewed by 2274
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue UAV Lidar System: Performance Assessment and Application)
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