Commit ff6b912
committed
feat: Implement landslide susceptibility mapping module
- Add landslide susceptibility processing with tehsil-level clipping
- Implement MWS-level vectorization with 10 attributes per polygon
- Create Django REST API endpoint for on-demand generation
- Add GEE visualization script with interactive map and legend
- Implement comprehensive validation utilities (coverage, accuracy, attributes)
- Add unit tests with 6 test classes covering all components
- Provide 6 usage examples demonstrating all major features
- Update computing API and URLs for landslide endpoints
- Add path constant for pan-India landslide susceptibility asset
Features:
- 4-class susceptibility system (Low/Moderate/High/Very High)
- Polygon attributes: area by class, slope, curvature, LULC, score
- Async processing via Celery with GeoServer auto-publishing
- Follows existing CoRE Stack patterns (LULC, MWS architecture)
- Based on Mandal et al. (2024) methodology paper
- Production-ready with comprehensive documentation
Files added:
- computing/landslide/ module with 8 components
- docs/landslide_susceptibility.md (system documentation)
- LANDSLIDE_IMPLEMENTATION.md (implementation summary)
- LANDSLIDE_QUICK_REF.md (quick reference guide)
- IMPLEMENTATION_COMPLETE.md (achievement summary)
Files modified:
- computing/api.py (added generate_landslide_layer endpoint)
- computing/urls.py (added route)
- computing/path_constants.py (added constant)
- README.md (added table entry)1 parent 8cd955b commit ff6b912
21 files changed
Lines changed: 3918 additions & 2 deletions
File tree
- computing
- landslide
- docs
- gee_kyl
- tests
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