Lab project Featured Active 🌍 Climate Tech 🛰 Geospatial October 21, 2026
Progress 45%

Lagos Flood Susceptibility Mapper

A reproducible GIS workflow that maps flood-prone areas in Lagos from elevation, land cover, drainage and rainfall layers.

Lagos Flood Susceptibility Mapper
Overview

About this project

This project comes straight out of my Geomatics Engineering background at the University of Lagos. Flooding is one of the most visible urban risks in Lagos, and much of the analysis behind it lives in one-off desktop GIS projects. The mapper rebuilds that analysis as a scripted, repeatable pipeline: derive slope, flow accumulation and distance-to-drainage from a digital elevation model, combine them with land-cover and rainfall layers, and produce a weighted susceptibility surface. Because every step is code, the map can be regenerated whenever a layer improves. The next phase compares the rule-based surface with a supervised model trained on historically reported flood locations, and publishes the results as web map tiles.
Progress log

Recent updates

How the work is evolving — milestones, releases, and notes from the bench.

Note Oct 11, 2026

Gathering ground-truth flood points

Collecting reported flood locations to validate the surface and train a comparison model.

Milestone Sep 11, 2026

First weighted susceptibility surface

Combined terrain, land-cover and rainfall layers into a first susceptibility map for review.

Milestone Jul 23, 2026

Terrain derivatives scripted

Slope, flow accumulation and distance-to-drainage are now generated from the DEM in one command.