Using Machine Learning, Satellite Imagery, and Open Geospatial Data to Identify Aquaculture Sites with High Potential for Production Intensification and Mangrove Restoration in Southeast Asia and Latin America

Engineering & Materials Science

1. Satellite imagery 100%
2. Aquaculture 98%
3. Open Data 84%
4. Restoration 67%
5. Ponds 54%
6. Farms 53%
7. Machine learning 50%
8. Biodiversity 19%
9. Sea level 18%
10. Water quality 16%
11. Climate change 15%
12. Ecosystems 14%
13. Wastewater 14%
14. Conservation 13%
15. Earth (planet) 11%
16. Carbon 10%