Journal
REMOTE SENSING
Volume 13, Issue 18, Pages -Publisher
MDPI
DOI: 10.3390/rs13183629
Keywords
landslide susceptibility mapping; UAV; remote sensing; GIS; AHP; photogrammetry
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Funding
- Ministry of Science and Higher Education of the Russian Federation [075-15-2020-787]
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This article introduces the methodology and techniques of using UAV data for landslide research, and presents the results of landslide susceptibility assessment conducted in practical applications using an indirect heuristic approach in a GIS environment.
The investigation of hard-to-reach areas that are prone to landslides is challenging. The research of landslide hazards can be significantly advanced by using remote sensing data obtained from an unmanned aerial vehicle (UAV). Operational acquisition and high detail are the advantages of UAV data. The development of appropriate automated algorithms and software solutions is necessary for quick decision-making based on the received heterogeneous spatial data characterising various aspects of the environment. This article introduces the first phase of a long-term study about landslide detection and prediction that aims to develop an automatic algorithm for detecting potentially hazardous landslide areas, using data obtained by UAV surveys. As a part of the project, the selection of appropriate techniques was implemented and a landslide susceptibility (LS) map of the study site was developed. This paper presents the outcomes of the applied indirect heuristic approach of landslide susceptibility assessment using an analytical hierarchy process (AHP) in a GIS environment, based on UAV data. The results obtained have been tested on a real-world entity.
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