cdse-sentinel1-pipeline: Sentinel-1 SAR download pipeline for the Copernicus Data Space Ecosystem

First public release of cdse-sentinel1-pipeline: a Jupyter/Python workflow for querying and downloading Sentinel-1 SAR products (.SAFE) from the Copernicus Data Space Ecosystem (CDSE).

<p align="center"> <img src="https://raw.githubusercontent.com/julianManning/cdse-sentinel1-pipeline/main/Example/IMG/s1_footprints_hormuz.png" width="650" alt="Sentinel-1 footprints over the Strait of Hormuz ROI"> <br> _{Selection preview: Sentinel-1C/1D IW GRDH passes (1–20 Oct 2026) over a Strait of Hormuz ROI. Ascending in blue, descending in orange.} </p>

✨ Features

• CDSE OData querying with automatic pagination (no 1,000-product cap) and inclusive date windows
• Sentinel-1 filters: sensor mode, product type (GRDH, GRDM, SLC, OCN, RAW), polarisation, orbit direction, relative orbit and mission
• De-duplication: removes _COG.SAFE copies and older reprocessed versions
• Pass-level ROI coverage: unions consecutive slices of a datatake before thresholding
• Selection preview: per-pass coverage audit, product table, total download volume and Esri footprint map
• Resumable parallel downloads: automatic token refresh, .part files with size verification, CSV logging
• Turnkey setup: automated Conda environment and Jupyter kernel; batch extraction to .SAFE

📓 Notebooks

| Notebook | Purpose | | :--- | :--- | | p00_s1_download_env_setup.ipynb | Environment and kernel setup | | p01_s1_download_pipeline.ipynb | Query, preview, download, resume | | p02_s1_download_unzip.ipynb | Batch extraction to .SAFE |

📋 Requirements

CDSE account · Miniconda/Anaconda · Python 3.11

📚 Citation

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