High spatial resolution underwater data for mapping seagrass transplantation: A powerful tool for visualization and
Daniele Ventura1, Luca Castoro2, Gianluca Mancini1
1Department of Environmental Biology, University of Rome 'La Sapienza' - V. le dell'Università 32, Rome 00185, Italy.
Data in Brief
|January 10, 2022
Summary
We used Structure from Motion photogrammetry to create 3D models of a seagrass restoration site. This provides a new way to monitor habitat recovery and engage the public in marine conservation efforts.
Area of Science:
- Marine Biology
- Environmental Management
- Photogrammetry
Background:
- The Costa Concordia shipwreck impacted a Posidonia oceanica seagrass meadow near Giglio Island.
- Seagrass meadows are crucial for marine biodiversity and coastal protection.
- Restoration efforts are vital for mitigating human impacts on marine ecosystems.
Purpose of the Study:
- To develop and apply a photogrammetric workflow for mapping underwater seagrass restoration sites.
- To create high-resolution 2D and 3D outputs for detailed analysis and visualization.
- To assess the effectiveness of Posidonia oceanica transplantation and promote public awareness.
Main Methods:
- Utilized Structure from Motion (SfM) photogrammetry to process underwater imagery.
- Generated 2D raster maps, dense point clouds, and textured 3D meshes.
- Employed open-source Blender software for 3D modeling and visualization.
Main Results:
- Achieved high spatial resolution mapping of the seagrass restoration site.
- Produced detailed 3D models enabling immersive visualization of the underwater environment.
- Created datasets valuable for biological analysis and monitoring restoration progress.
Conclusions:
- Photogrammetry offers a powerful tool for assessing benthic habitats and restoration success.
- 3D visualization enhances understanding and engagement with marine restoration projects.
- This approach can increase public awareness and support for marine conservation initiatives.
