gkakogeorgiou/mados
[ISPRS Journal of Photogrammetry and Remote Sensing] Detecting Marine Pollutants and Sea Surface Features with Deep Learning in Sentinel-2 Imagery
This project helps environmental scientists and marine conservationists detect marine pollutants like litter and oil spills in our oceans. It takes satellite imagery from Sentinel-2 and outputs maps highlighting potential pollution areas. This is for professionals involved in environmental monitoring, marine biology, and oceanography.
No commits in the last 6 months.
Use this if you need to identify and map marine litter and oil spills from satellite images to track pollution and aid cleanup efforts.
Not ideal if you require real-time, high-resolution detection from sources other than Sentinel-2 satellite data.
Stars
47
Forks
10
Language
Python
License
MIT
Category
Last pushed
Jul 15, 2024
Commits (30d)
0
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