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Abstract

Summary

This study presents the results of an investigation into the impact of anthropogenic activities on the evolution of landslide processes, based on remote sensing (RS) data. The analysis is based on the Landslide Hazard Intensity Index (ER), calculated from a digital elevation model (DEM) obtained from Shuttle satellite data with a 30-meter resolution. The city of Kryvyi Rih and its surroundings (total area: 5697 km2) were selected as the test site due to intense mining-related land use. ER values within the study area range from 0 to 100, with zones exceeding a value of 7 classified as landslide-prone. Results show that areas associated with industrial activities, such as mining and waste dumps, exhibit significantly higher ER values - 10 to 12 times above the average - and greater elevation differences (up to 469 m) compared to natural terrain. The constructed ER-based map effectively identifies zones with varying degrees of landslide susceptibility, allowing detailed spatial differentiation. This research confirms that RS-based monitoring, in combination with the ER index, provides a valuable tool for the timely detection of hazardous areas and for assessing the impact of various human activities on landslide initiation and intensification.

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/content/papers/10.3997/2214-4609.2025520012
2025-09-15
2026-01-23
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