flood-risk

A Collection of Flood Hazard Layers for New York City.

Turn Japan's PLATEAU 3D city models into a queryable, hazard-aware buildings.parquet. Pre-built bundles for 29 cities; SQL via DuckDB; 3D Tiles + PMTiles + FlatGeobuf out of the box.

A reproducible data-engineering pipeline that ingests NOAA National Storm Surge Risk (MEOW/MOM) layers and NOAA NWPS flood-inundation polygons, overlays them against building/infrastructure footprints from Overture Maps (GeoParquet), and produces per-asset exposure scores plus an interactive map and an API endpoint. Optionally enriched with FEMA NF

A presentation on leveraging Jupyter Notebooks for automating large scale flood risk studies

Flood risk prediction using machine learning and SHAP explainability

Mangrove Flood Risk Assessment 🌳🌊

Enterprise-grade Streamlit platform that turns inspection reports, photos, audio & floorplans into provenance-tracked repair cost estimates across 21 modules - cost, CapEx, permits, environmental risk, insurance, recalls, ROI & more. Real government data, deterministic calculations.

NASA ACRES fellowship project mapping wildfire and flood risk in Kula and South Maui using satellite remote sensing.

Geospatial foundation model for flood susceptibility mapping

Flood Prediction is a Databricks Solution Accelerator for spatial ML: public elevation, water, climate, and historical flood data → H3 features → scenario-trained models → an interactive underwriting map. Built for Public Sector and P&C Insurance demos. Retarget any city by changing a few bundle variables.

Exploring the Building Elevation and Subgrade (BES) Dataset for New York City in Python

Capa de confianza calibrada (ECE/conformal/UQ) para pronósticos de inundación de modelos hidrológicos OSS — para municipios y protección civil

Flood susceptibility mapping workflow using geospatial data engineering and a decision making algorithm to identify and visualize flood-prone areas.

Interactive flood-risk simulation for urban Chennai — terrain-based drainage analysis with a real-time "what-if" rainfall scenario engine. DEM pipeline → simplified hydraulic proxy (HEC-RAS upgrade planned) → live web dashboard.

Agent-based model of spatial flood-defence cooperation: threshold public-goods game with environmental feedback, three strategies (UC/CC/D), and resilience-erosion dynamics on a lattice.

Ready-to-use MCP extensions for Gemini CLI and Claude Desktop - neighborhood intelligence, school ratings, flood risk, air quality, and more.

Malaysia-focused flood risk prediction and explainability research project using FastAPI, Streamlit, geospatial data, and machine learning.

Map-first, climate-informed flood hazard assessment for data-scarce basins in R: rainfall extreme value analysis (GEV), rainfall-runoff simulation, terrain-based flow routing and water-depth mapping in one reproducible pipeline, with a built-in stationary-vs-nonstationary test for changing rainfall extremes.

Municipality-Scale Flood Risk Mapping across Colombia — 7 departments (Antioquia, Bolívar, Cauca, Chocó, Guajira, Magdalena, Nariño) — Sentinel-1 SAR + RF/XGBoost/LightGBM ensemble + JRC water + WorldPop — GEE (2015–2025)

Flood-retention investment MVP that ranks where extra capacity can reduce downstream risk first.