A robust system for monitoring SAR data from Google Earth Engine, with support for managing Areas of Interest (AOIs) and automated data processing.

• Python 3.9+
• Node.js 18+
• Docker Desktop
• PostgreSQL 14+ with PostGIS extension
• Google Earth Engine account with authentication set up

1. Clone the repository and navigate to it:

   git clone https://github.com/yourusername/geescan.git
   cd geescan

2. Run the initialization script:

   .\init_containers.bat

   This will set up the required Docker containers for PostgreSQL and PGAdmin.

3. Run the startup script:

   .\start_app.bat

   The first run will:

   • Create and activate Python virtual environment
   • Install Python dependencies
   • Initialize the database
   • Install frontend dependencies
   • Start all services

.\start_app.bat

This will:

• Start Docker containers
• Start the Flask backend (http://localhost:5000)
• Start the React frontend (port shown in terminal)

.\clear_ports.bat

This will:

• Stop Docker containers (preserves data)
• Clear any processes on ports 3000 and 5000

geescan/
├── backend/           # Flask backend
│   ├── app/          # Application code
│   │   ├── api/      # API endpoints
│   │   └── models/   # Database models
│   └── venv/         # Python virtual environment
├── frontend/         # React frontend
│   └── src/         # Source code
└── scripts/         # Utility scripts
    ├── init_containers.bat  # First-time container setup
    ├── start_app.bat       # Start the application
    └── clear_ports.bat     # Stop the application

• Backend API: http://localhost:5000
• Frontend: Port shown in React terminal
• PostgreSQL: localhost:5432
• PGAdmin: http://localhost:5050

1. If you see 'react-scripts' is not recognized or other npm-related errors:

   cd frontend
   npm install --legacy-peer-deps

2. If ports are already in use:

   .\clear_ports.bat

1. Create a feature branch
2. Make your changes
3. Submit a pull request

MIT License