DETECT AND TRACK OIL SPILLS IN THE GULF OF MEXICO using PACE data
This project aims to leverage PACE hyperspectral imagery to detect, track, and characterize oil spills, estimate slick extent, and contribute to monitoring and early warning systems.
| Name | Role |
|---|---|
| Alfredo Terrazas | Project Facilitator |
| Santiago Reynoso | Participant |
| Danalie | Participant |
| Jorge Silva | Participant |
- Initial idea: "short description"
- Ideation jam board: Add link
- Ideation Presentation: Add link
- Slack channel: 2025-fish-pace-hackweek
- Project google drive: Add link
- Final presentation: (https://docs.google.com/presentation/d/1kM6JACSEnZWaBKZ0ag3bXhAMOMR5ZGVM/edit?slide=id.p3#slide=id.p3)
Major hydrocarbon production regions, such as the southern Gulf of Mexico, face a continuous risk of oil spills from offshore infrastructure, operational activities, and natural seepage. These spills pose serious threats to marine and coastal ecosystems.