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Article

Combined Methodology for Rockfall Susceptibility Mapping Using UAV Imagery Data

by
Svetlana Gantimurova
1,2 and
Alexander Parshin
1,2,*
1
Siberian School of Geosciences, Irkutsk National Research Technical University, Lermontova St. 89, 664074 Irkutsk, Russia
2
Vinogradov Institute of Geochemistry SB RAS, Favorsky St. 1A, 664033 Irkutsk, Russia
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(1), 177; https://doi.org/10.3390/rs16010177
Submission received: 23 November 2023 / Revised: 29 December 2023 / Accepted: 30 December 2023 / Published: 31 December 2023
(This article belongs to the Special Issue Landslide Susceptibility Analysis for GIS and Remote Sensing)

Abstract

Gravitational processes on cut slopes located close to infrastructure are a high concern in mountainous regions. There are many techniques for survey, assessment, and prognosis of hazardous exogenous geological processes. The given research describes using UAV data and GIS morphometric analysis for delineation of hazardous rockfall zones and 3D modelling to obtain an enhanced, detailed evaluation of slope characteristics. Besides the slope geomorphometric data, we integrated discontinuity layers, including rock plains orientation and fracture network density. Cloud Compare software 2.12 was utilised for facet extraction. Fracture discontinuity analysis was performed in QGIS using the Network GT plugin. The presented research uses an Analytical Hierarchy Process (AHP) to determine the weight of each contributing factor. GIS overlay of weighted factors is applied for rockfall susceptibility mapping. This integrated approach allows for a more comprehensive GIS-based rockfall susceptibility mapping by considering both the structural characteristics of the outcrop and the geomorphological features of the slope. By combining UAV data, GIS-based morphometric analysis, and discontinuity analysis, we are able to delineate hazardous rockfall zones effectively.
Keywords: UAV; rockfall; GIS; fracture analysis; facet extraction UAV; rockfall; GIS; fracture analysis; facet extraction

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MDPI and ACS Style

Gantimurova, S.; Parshin, A. Combined Methodology for Rockfall Susceptibility Mapping Using UAV Imagery Data. Remote Sens. 2024, 16, 177. https://doi.org/10.3390/rs16010177

AMA Style

Gantimurova S, Parshin A. Combined Methodology for Rockfall Susceptibility Mapping Using UAV Imagery Data. Remote Sensing. 2024; 16(1):177. https://doi.org/10.3390/rs16010177

Chicago/Turabian Style

Gantimurova, Svetlana, and Alexander Parshin. 2024. "Combined Methodology for Rockfall Susceptibility Mapping Using UAV Imagery Data" Remote Sensing 16, no. 1: 177. https://doi.org/10.3390/rs16010177

APA Style

Gantimurova, S., & Parshin, A. (2024). Combined Methodology for Rockfall Susceptibility Mapping Using UAV Imagery Data. Remote Sensing, 16(1), 177. https://doi.org/10.3390/rs16010177

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