davis-mironga/kenya-flood-risk-prediction

Geospatial Data Science project predicting flood vulnerability and socio-economic impact in Kenya using Satellite Imagery (CHIRPS/SRTM) and Machine Learning. # Kenya Flood Risk & Socio-Economic Impact Analysis 🇰🇪🌊 ## Project Overview I have observed the devastating impact of seasonal flooding in Kenya. This project integrates **Environmental Science** with **Data Science** to identify high-risk flood zones and quantify the population at risk using satellite data and Machine Learning. ## The Data Stack - **Rainfall:** CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data). - **Terrain:** NASA SRTM Digital Elevation Model (DEM). - **Human Impact:** WorldPop & Humanitarian Data Exchange (HDX). - **Tools:** Python (GeoPandas, Rasterio, Scikit-Learn), QGIS. ## Project Structure 1. **Notebook 01:** Data Acquisition & Geospatial Wrangling. 2. **Notebook 02:** Exploratory Data Analysis & Hydrological Feature Engineering. 3. **Notebook 03:** Predictive Modeling (Random Forest) & Impact Assessment. ## How to Run 1. Clone the repo: `git clone github.com` 2. Install dependencies: `pip install -r requirements.txt`