SPATIAL ANALYSIS OF THE RELATIONSHIP BETWEEN THE DISTRIBUTION OF LANDSLIDE AREAS AND FOREST COVER

Remote Sensing & GIS for Environmental Monitoring

Authors

First and Last Name Academic degree E-mail Affiliation
Ihor Chepurnyi Ph.D. igor.chepurnyi [at] gmail.com Ivano-Frankivsk National Technical University of Oil and Gas
Ivano-Frankivsk, Ukraine
Volodymyr Rushchak No rushchakvolodymyrr [at] gmail.com Ivano-Frankivsk National Technical University of Oil and Gas
Ivano-Frankivsk, Ukraine
Tetiana Chepurna Ph.D. tetti.chepurna [at] gmail.com Ivano-Frankivsk National Technical University of Oil and Gas
Ivano-Frankivsk, Ukraine

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 25.08.2024 - 13:48
Abstract 

This study investigates the relationship between landslide development and forest cover distribution using spatial analysis methods within a Geographic Information System (GIS). To assess the impact of forest cover on landslide development, digital cartographic layers containing necessary attribute information were used. The spatial analysis involved examining the relationships between different cartographic layers, performing cartometric operations, and calculating statistical indicators that reflect the relationship between parameters. This methodology enables effective modeling of processes at various levels. The study covered the Carpathian region, specifically the eastern part of the Zakarpattia region and the southwestern part of the Ivano-Frankivsk region. Using data from topographic maps and global geospatial portals dedicated to forest cover dynamics, digital cartographic layers were created, and spatial analysis was performed regarding the presence and characteristics of forest in landslide occurrence areas. It was found that the development of landslide processes is significantly related to the boundaries of forested areas. This is explained by the influence of forests on water flow formation on slopes. Additionally, the forest cover density in the studied area and its significance at landslide occurrence points were investigated. The results highlight the importance of considering forest cover characteristics when creating predictive models for landslide activation at the regional level.

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