A Collection of Flood Hazard Layers for New York City.
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Updated
Nov 21, 2023 - Jupyter Notebook
A Collection of Flood Hazard Layers for New York City.
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 🌳🌊
Exploring the Building Elevation and Subgrade (BES) Dataset for New York City in Python
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)
[PJDSC 2025] Explainable, street-level flood-risk mapping for Philippine cities.
Dependence-aware block-maxima inference for severity, persistence, and design-life levels.
Free tool to download EA surface water flood risk data as shapefiles for any UK postcode input
Experiments with LiDAR, IMU and machine learning for water level measurement.
Flood score integration for parcel-level flood risk assessment.
Ready-to-use MCP extensions for Gemini CLI and Claude Desktop - neighborhood intelligence, school ratings, flood risk, air quality, and more.
GIS analysis of flood risk impact on road infrastructure in Lagos using OpenStreetMap and spatial modelling.
Municipality-Scale Flood Risk Mapping in Bolívar (46 municipios), Colombia — Sentinel-1 SAR + Ensemble ML + JRC water analysis + CHIRPS climate — population exposure — GEE + Python (2015–2025)
Municipality-Scale Flood Risk Mapping in Antioquia (125 municipios), Colombia — Sentinel-1 SAR + Random Forest/XGBoost/LightGBM ensemble — population exposure + climate trends — GEE + Python (2015–2025)
Vigía Córdoba — Sistema de Alertas Tempranas para gestión del riesgo por inundaciones en los 30 municipios de Córdoba, Colombia — datos IDEAM, ENSO, UNGRD — Next.js 16 + Mapbox GL + Vitest
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)
Official Repository for the paper "Global Flood Susceptibility"
Municipality-Scale Flood Risk Mapping in Cauca (42 municipios), Colombia — Sentinel-1 SAR + Ensemble ML + flood susceptibility + population exposure + Mann-Kendall climate trends — GEE + Python (2015–2025)
BlueWatch NI was inspired by the specification provided for the 2025 Sustainability Hackathon: Water, hosted by Queen's University Belfast. This solution was not submitted for the hackathon.
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