CLi-de/D_LSM
Dynamic landslide susceptibility assessment using deep learning techniques
This project helps geologists, urban planners, and risk managers assess landslide susceptibility dynamically over time. By inputting historical landslide records and environmental data, it generates detailed maps showing how and why landslide risks change year to year. This allows for a better understanding of shifting hazards in subtropical urban mountainous regions.
No commits in the last 6 months.
Use this if you need to understand the evolving nature of landslide risks in specific geographic areas and the changing environmental factors contributing to them.
Not ideal if you need a real-time landslide prediction system or are working with areas where extensive historical data is unavailable.
Stars
34
Forks
3
Language
Python
License
MIT
Category
Last pushed
May 18, 2025
Commits (30d)
0
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