This project was developed to automate the acquisition of massive volumes of Synthetic Aperture Radar (SAR) imagery. It was designed to support oceanographic and coastal monitoring operations where cloud cover in tropical regions prevents the use of optical satellites.
The script serves as a robust wrapper around the Copernicus Open Access Hub API, handling authentication, spatial filtering, and bulk downloads efficiently.
- Automated Retrieval: Replaced manual downloading with a script capable of fetching specific products based on Polygon WKT geometries.
- Storage Management: Implemented logic to manage disk space constraints by rotating old files while prioritizing new acquisitions.
- Network Resilience: Includes error handling for interrupted connections during large file transfers (ZIP files > 1GB).
- Language: Python
- Libraries:
requests,sentinelhub(logic adaptation),os(system management). - Data Source: ESA Copernicus Sentinel-1 (C-Band SAR).
Drastically reduced the time required to update the Spatial Data Infrastructure (SDI), ensuring that analysts had access to the latest radar imagery for flood detection and coastline analysis.