Nelvinebi / Predictive-Modeling-of-Landslides-with-DEM-and-Rainfall-DataView external linksLinks
This project uses synthetic data to predict landslide occurrences based on elevation (DEM), slope, rainfall, and soil type. A logistic regression model is trained to classify landslide risk, demonstrating a simplified approach to geospatial hazard modeling for educational and research purposes.
☆11Oct 3, 2025Updated 4 months ago
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