Static, citable disaster-risk explainer for Japan's PLATEAU open data. Building-level hazard zones rendered with strict three-state honesty (covered=false is never green).
-
Updated
May 31, 2026 - TypeScript
#
disaster-risk
Here are 10 public repositories matching this topic...
This is the repository of the Webapp, that is a product of Tomorrow's Cities Project, which aims at simulating future urban context and modelling potential impacts against multi-hazards.
-
Updated
Jun 23, 2026 - Python
Malaysia-focused flood risk prediction and explainability research project using FastAPI, Streamlit, geospatial data, and machine learning.
-
Updated
Jun 11, 2026 - Python
BARLO: Bayani Alert and Response for Local Operations. Predicts a storm's economic impact from typhoon forecast data using a PyTorch + scikit-learn model, deployed on Streamlit.
python machine-learning scikit-learn pytorch logistics typhoon philippines streamlit disaster-risk pjdsc
-
Updated
Jul 4, 2026 - Python
CCART is a country-agnostic physical climate risk framework. India is the reference implementation. The architecture is designed so that any country can be added by providing local boundary files and climate data
open-source geospatial cyclone india flood heat adaptation climada climate-risk disaster-risk impact-modelling hazard-modelling
-
Updated
Jun 6, 2026 - Jupyter Notebook
[8th IDRC, Best Overall Conference Paper Award] GraphCSVAE: Graph Categorical Structured Variational Autoencoder for Spatiotemporal Auditing of Physical Vulnerability Towards Sustainable Post-Disaster Risk Reduction
remote-sensing spatiotemporal categorical-distributions transition-matrix weakly-supervised graph-deep-learning disaster-risk physical-vulnerability
-
Updated
Sep 6, 2025 - MATLAB
Open earthquake digital twin for Greater Dhaka — hazard, exposure, cascade, surrogate emulator
openstreetmap bangladesh dhaka seismic-hazard digital-twin graph-neural-network cascading-failures eathquake urban-resilience disaster-risk
-
Updated
Jul 6, 2026 - Python
CRIMA ontology source files
-
Updated
Jun 5, 2026
Philippines Storm Impact Analyzer: a Streamlit web app combining typhoon forecast data with geographic and economic data to estimate damage and affected provinces. Built for the PJDSC competition.
python data-science machine-learning geospatial pandas typhoon philippines streamlit disaster-risk pjdsc
-
Updated
Jul 4, 2026 - Python
Improve this page
Add a description, image, and links to the disaster-risk topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the disaster-risk topic, visit your repo's landing page and select "manage topics."