Detection and monitoring of slope movement by using point cloud derived from the SfM technique

Ivanovski, Igor and Nedelkovska, Natasha and Petrov, Gose and Jovanovski, Milorad and Nikolovski, Toni and Peshevski, Igor (2024) Detection and monitoring of slope movement by using point cloud derived from the SfM technique. Proceedings of the 6th Regional Symposium on Landslides, Belgrade, 2024. pp. 127-132.

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Abstract

The paper presents an example of the detection and monitoring of slope movements by using a 3D point cloud obtained from the low-cost, remote, and precise SfM (Structure from Motion) technique. SfM is a photogrammetric range imaging technique for estimating three-dimensional structures from two-dimensionalimage sequences that may be coupled with local motion signals. Its algorithm detects common feature points in multiple images and uses them to reconstruct the movement of those points throughout the image sequence. The analysed instability represents one part of the cut 4 at km 11+620 to km 12+244 on A2 Expressway
Kriva Palanka-Stracin, section Dlabochica-Chatal (Republic of Macedonia). The rockslide developed at the beginning of the cut 4 excavation, in a medium of albite�epidote-chlorite schists. The surveying was performed with a low-altitude camera drone - Phantom 4 RTK, the Pix4D software was used for processing the SfM recordings, while the analyses were done in the CloudCompare software. Four point cloud sets were analyzed in relation to the initial (the reference) one
acquired before the detected movements. Multi-temporal
geomorphic changes in the rockslide area were identified
by comparing the SfM-derived point clouds in pairs. 3D
distances were estimated with the multi-scale model-to�model cloud comparison for each pair of point clouds. The
results show that the displacements on the slope range up
to 70 cm. Also, the 5-month observation period shows that
the rockslide is not settled and there are certain movements, especially in its upper part. The obtained
results show that the application of SfM for the detection
and monitoring of displacements seems to be a beneficial
technique for such purposes because of its swiftness, the
high detail of prospecting, and the possibility of determining minimal movements

Item Type:	Article
Subjects:	Natural sciences > Earth and related environmental sciences
Divisions:	Faculty of Natural and Technical Sciences
Depositing User:	Gose Petrov
Date Deposited:	03 Dec 2024 13:16
Last Modified:	03 Dec 2024 13:16
URI:	https://eprints.ugd.edu.mk/id/eprint/35136

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