pagraf/Seabed-Net
Quick start guide for Seabed-Net
This project helps marine scientists, coastal managers, and environmental surveyors accurately map shallow-water environments. It takes remote sensing images (like satellite or aerial photos) as input and simultaneously produces detailed depth maps (bathymetry) and classifications of the seabed (e.g., sand, rock, coral). This allows for a more comprehensive understanding of underwater terrain and habitats.
Use this if you need to generate highly accurate, integrated maps of both depth and seabed type from remote sensing imagery in shallow coastal areas.
Not ideal if you are working with deep ocean environments or do not have remote sensing imagery as your primary data source.
Stars
8
Forks
1
Language
Python
License
—
Category
Last pushed
Mar 02, 2026
Commits (30d)
0
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