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Land Use Change Detection Project

Land use change detection and monitoring system in Córdoba, Argentina, using satellite imagery.

System Requirements

Software Versions

  • Python 3.11.8

Development Environment Setup

1. Clone the repository:

git clone https://github.com/OmdenaAI/CordobaArgentinaChapter_MonitoringLandUseTransformation.git

2. Navigate to project directory:

cd CordobaArgentinaChapter_MonitoringLandUseTransformation

3. Install Python 3.11.8:

For MacOS (using pyenv):

# Install pyenv if you haven't already
brew install pyenv

# Install Python 3.11.8
pyenv install 3.11.8

# Set Python 3.11.8 as local version for this project
pyenv local 3.11.8

# Reload shell configuration
source ~/.zshrc    # If using zsh
# OR
source ~/.bashrc   # If using bash

# Verify installation
python --version  # Should show Python 3.11.8

For Windows:

Download and install Python 3.11.8 from the official website: https://www.python.org/downloads/release/python-3118/

4. Set up Python virtual environment:

# Create virtual environment
python -m venv venv

# Activate virtual environment
source venv/bin/activate  # Linux/Mac
# OR
.\venv\Scripts\activate  # Windows

# Install dependencies
pip install -r requirements.txt

Project Structure

change_detection_project/
├── preprocessing_service/ # Image preprocessing service
├── model_service/        # Model inference service
├── api_gateway/          # API Gateway (FastAPI)
├── queue_service/        # Queue service (Redis + Celery)
├── frontend/            # Frontend (React)
└── common/              # Shared code between services

Git Workflow

  1. Create branch from develop:
git checkout develop
git pull origin develop
git checkout -b feature/feature_name
  1. Commit changes:
git add .
git commit -m "feat: description of change"
git push origin feature/feature_name

Create PR in GitHub from feature -> develop

Additional Documentation

Contact

For questions or suggestions, contact:

Available Satellites

Satellite Constellation

Satellite Data Sources

The project can work with imagery from the following satellites:

Satellite Resolution Revisit Time Bands Best Use Case
Sentinel-2 10m, 20m, 60m 5 days 13 bands Land use, agriculture, forest monitoring
Landsat 8-9 15m, 30m, 100m 16 days 11 bands Historical analysis, long-term changes
MODIS 250m, 500m, 1km Daily 36 bands Large-scale monitoring, rapid changes
Planet 3-5m Daily 4 bands High-resolution monitoring (commercial)

System Architecture

Initial proposal for the system architecture:

System Architecture