Welcome to Φ-Down Documentation
Φ-Down is your simple gateway to Copernicus data - effortlessly search and download Earth Observation data from the Copernicus Data Space Ecosystem.

Contents:
- Getting Started
- Installation
- User Guide
- API Reference
- Examples
- Example 1: Basic Sentinel-2 Search
- Example 2: Sentinel-1 SAR Data Search
- Example 3: Multi-Mission Search
- Example 4: Download with Progress Tracking
- Example 5: Interactive Polygon Selection
- Example 6: Time Series Analysis
- Example 7: Batch Processing with Error Handling
- Example 8: Advanced Filtering and Analysis
- Example 9: Visualization and Mapping
- Example 10: Configuration and Customization
- Tips for Using Examples
- Sentinel-1 Reference Guide
- Contributing
- Changelog
- [Unreleased]
- [0.1.13] - 2024-12-XX
- [0.1.12] - 2024-11-XX
- [0.1.11] - 2024-10-XX
- [0.1.10] - 2024-09-XX
- [0.1.9] - 2024-08-XX
- [0.1.8] - 2024-07-XX
- [0.1.7] - 2024-06-XX
- [0.1.6] - 2024-05-XX
- [0.1.5] - 2024-04-XX
- [0.1.4] - 2024-03-XX
- [0.1.3] - 2024-02-XX
- [0.1.2] - 2024-01-XX
- [0.1.1] - 2023-12-XX
- [0.1.0] - 2023-11-XX
- Migration Guide
- Support Policy
Overview
Φ-Down provides a Python interface to search and download Copernicus satellite data including:
Sentinel-1: SAR data for land and ocean monitoring
Sentinel-2: Multi-spectral imaging for land monitoring
Sentinel-3: Ocean and land monitoring
Sentinel-5P: Atmospheric monitoring
Key Features
🔍 Search: Query Copernicus Data Space using intuitive filters
📥 Download: Efficient data downloading with S3 integration
🗺️ Visualization: Built-in tools for plotting and interactive maps
🎯 Interactive Tools: Polygon selection tools for area of interest
📊 Data Management: Pandas integration for result handling
Quick Start
Install Φ-Down:
pip install phidown
Search for data:
from phidown import CopernicusDataSearcher
searcher = CopernicusDataSearcher()
results = searcher.search(
collection_name='SENTINEL-2',
aoi_wkt='POLYGON((12.4 41.9, 12.5 41.9, 12.5 42.0, 12.4 42.0, 12.4 41.9))',
start_date='2023-01-01',
end_date='2023-01-31'
)