Home Archiveaaa News Contact
PDF download
Cite article
Share options
Informations, rights and permissions
Issue image
Vol 16, Issue 1, 2024
Pages: 742 - 752
Professional paper
Geodesy Editor: Gordana Jakovljević
See full issue

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

Metrics and citations
Abstract views: 116
PDF Downloads: 34
Google scholar: See link
Article content
  1. Abstract
  2. Disclaimer
Published: 12.06.2024. Professional paper Geodesy Editor: Gordana Jakovljević

LASER SCANNING AT THE LOCATION OF DEVILS' TOWN FOR THE PURPOSE OF DETECTING THE DEGREE OF EROSION OF EARTH PILLARS

By
Anastasija Martinenko Orcid logo ,
Anastasija Martinenko
Contact Anastasija Martinenko

Faculty of Civil Engineering, University of Belgrade, Belgrade, Serbia

Marko Pejić Orcid logo
Marko Pejić

Faculty of Civil Engineering, University of Belgrade, Belgrade, Serbia

Abstract

The detection of erosion was carried out on a characteristic rocky pillar, with the localization and quantification of differences between two surfaces. For this purpose, based on the defined area and spatial configuration of the scanning object, scanner positions, arrangement of control points, and appropriate spatial scanning resolution were planned. The spatial resolution of the point cloud is 1 cm, with a standard deviation of individual points up to 3 mm. Based on the collected data, registration of adjacent scenes was performed using typical scanner signals and the surface matching method. Georeferencing of the second epoch was carried out using the surface matching method. Locations where erosion of the rocky mass occurred were detected, amounting to 0.036 m³ (36 dm³).

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.