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.
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Updated
Jun 15, 2026 - Python
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.
NASA ACRES fellowship project mapping wildfire and flood risk in Kula and South Maui using satellite remote sensing.
Malaysia-focused flood risk prediction and explainability research project using FastAPI, Streamlit, geospatial data, and machine learning.
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 susceptibility mapping workflow using geospatial data engineering and a decision making algorithm to identify and visualize flood-prone areas.
Flood-retention investment MVP that ranks where extra capacity can reduce downstream risk first.
Flood score integration for parcel-level flood risk assessment.
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.
GIS analysis of flood risk impact on road infrastructure in Lagos using OpenStreetMap and spatial modelling.
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)
Municipality-Scale Flood Risk Mapping in Chocó (30 municipios), Colombia — one of the world's rainiest regions — Sentinel-1 SAR + Ensemble ML + population exposure — GEE + Python (2015–2025)
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)
||GIS flood risk mapping across Nigeria's 36 states using elevation, rainfall and drainage data with PySpark, Azure and Streamlit.
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)
Dependence-aware block-maxima inference for severity, persistence, and design-life levels.
City-scale resilience screening for QGIS - 28 Processing tools: seismic, flood, heat, social vulnerability, evacuation, scenarios, reports.
LULC Classification and Flood Vulnerability Analysis of Malappuram District (2018–2024) using Sentinel-2 and CART Machine Learning
Municipality-Scale Flood Risk Mapping in Nariño (64 municipios), Colombia — Pacific coast + Andean + Amazon regions — Sentinel-1 SAR + Ensemble ML + population exposure — GEE + Python (2015–2025)
ML-powered geospatial web app for micro-level flood risk zone mapping
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