🇺🇬 Uganda Coffee Traceability & EUDR Compliance Tool

A full-stack geospatial application designed to verify coffee plot compliance with the European Union Deforestation Regulation (EUDR).

This tool leverages 10m-resolution satellite data from 2020 to provide a baseline for "Grandfathered" coffee production in Uganda.

You can read my approach to this project here.

The Stack

• Data: Google Earth Engine (GEE), Python
• Backend: Django (GeoDjango), PostGIS (PostgreSQL 18), Graphene (GraphQL).
• Frontend: React (Vite), Apollo Client, Leaflet, Tailwind CSS v4.

Key Features

• 10m Resolution Analysis: Vectorized coffee presence data derived from Sentinel-2 satellite imagery.
• Spatial "Drill-Down": Interactive administrative boundaries (Districts) that filter high-density plot data on-demand.
• Point-in-Polygon Verification: Real-time GraphQL traceability endpoint checking coordinate compliance against the 2020 baseline.
• Spatial Statistics: National-level area calculations using PostGIS transformations.

Installation & Setup

1. Database: Ensure PostGIS is installed (brew install postgis).
2. Backend:

pip install -r requirements.txt
python manage.py migrate

To load the data:

• Go to the Django shell: python manage.py shell
• from map.load import load_coffee_zones, load_districts
• load_coffee_zones(); load_districts();

3. Frontend:

cd frontend && npm install && npm run dev