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.
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
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.
Flood susceptibility mapping workflow using geospatial data engineering and a decision making algorithm to identify and visualize flood-prone areas.
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.
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.
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)
Repo for Oluwatobi's geospatial data analytics projects, blog posts and podcast
Flood-retention investment MVP that ranks where extra capacity can reduce downstream risk first.
A plain-language flood risk lookup tool for Philadelphia residents
England flood-risk by postcode for AI agents — verified Environment Agency data, not guesses.
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
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.
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