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 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 🌳🌊

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

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

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

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

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)

End-to-end spatial ML pipeline predicting flood vulnerability at the census tract level using FEMA flood zones, OSM waterways, and Census demographics — Harris County, TX.

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

[PJDSC 2025] Explainable, street-level flood-risk mapping for Philippine cities.

Experiments with LiDAR, IMU and machine learning for water level measurement.

Free tool to download EA surface water flood risk data as shapefiles for any UK postcode input

Flood score integration for parcel-level flood risk assessment.

Real-time flood risk intelligence dashboard with live Open-Meteo data and responsive ML predictions.

Citation-grounded NYC flood-exposure briefings: multi-agent civic AI on Granite 4.1 + Prithvi-EO + TerraMind, every claim cited to a public-record source.

Agent-based model of Dutch housing market dynamics under flood risk, behavioral risk perception, and public adaptation strategies.

Municipality-Scale Flood Risk Mapping in Magdalena (30 municipios), Colombia — Sentinel-1 SAR + Ensemble ML + JRC water + CHIRPS climate + WorldPop exposure — GEE + Python (2015–2025)