This project will show that high quality photogrammetric models can be generated consistently from image data gathered from remotely operated underwater vehicles, which will support implementation of higher standards of environmental regulation in aquaculture to safeguard marine protected species and habitats.
To support sustainable growth in the finfish aquaculture sector, implementation of higher standards of environmental regulation are required to safeguard marine protected species and habitats. Much of this depends on strengthening the evidence base on the environmental effects, and performance, of marine pen fish farms (MPFFs). As the number and sizes of MPFFs increase, the probability of being associated with more diverse seabed types, including hard substrates and priority marine features, becomes greater. New MPFFs require baseline surveys at the pre-application stage and further surveying precedes any proposed expansion or modification. Hard substrates cannot be grab sampled and quality assessment is only achievable by visual survey but currently regulatory standards for such inspections are lacking. With no standards to comply with, producers cannot prove compliance and this can impede produce gaining appropriate certified status and sale price.
This project has demonstrated the feasibility of using georeferenced 3D photogrammetry techniques to monitor these complex seabed types. Photogrammetry generates 3D computer models from standard imagery and can accurately record underwater features and environments. Research carried out by Tritonia Scientific has shown that high quality photogrammetric models can be constructed consistently from image data gathered from remotely operated underwater vehicles (ROVs). It has also demonstrated that regulatory standards are achievable using these technologies when combined with advanced georeferencing systems. Used together, these methods develop seabed models precisely at the exact same locations from which changes over time can be detected and measured accurately.
Tritonia Scientific Ltd