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Abstract

Summary

Landslides are among the most frequent and destructive natural hazards in mountainous regions, posing serious risks to human life, infrastructure, and ecosystems. The Carpathian Mountains, spanning Central and Eastern Europe, are particularly susceptible due to their complex geomorphology, steep topography, and increasing anthropogenic pressures. Comparing traditional field-based assessments, advancements in remote sensing and cloud-based platforms such as Google Earth Engine (GEE) enable scalable, high-frequency, and cost-efficient analysis of landslide-prone terrain. This study utilizes GEE to integrate multi-source satellite and environmental data for regional-scale landslide susceptibility mapping across the Carpathians. A weighted overlay model combining factors such as elevation, slope, aspect, curvature, vegetation (NDVI), and precipitation was used to compute a Landslide Susceptibility Index (LSI). The resulting map, validated using the NASA Global Landslide Catalog, identifies low to very high susceptibility zones.

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/content/papers/10.3997/2214-4609.2025520018
2025-09-15
2026-01-25
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