Project Overview
Developed a multi-cloud (AWS and GCP) and cost-efficient cloud infrastructure for running deep learning-based oil spill detection with Sentinel-1 images. This system processes the entire archive and automatically monitors newly available scenes.
Technical Details
- Infrastructure: Leveraged both AWS and GCP for a resilient and cost-effective multi-cloud setup.
- Data Processing: Sentinel-1 SAR imagery processing at scale.
- Deep Learning: Integrated deep learning models for automated detection of oil slicks.
- Automation: Fully automated pipelines for newly available satellite imagery.