Advantages are: no need for an a priori requirement for image size or resolution, no invasive techniques, cost-effectiveness, and utilization of existing imagery taken from off-the-shelf cameras (both monocular or stereo). At small scales, our method delivered models with <1 mm error over 90% of the surface area, while the accuracy at transect scale was 85.3% ± 6% (CI). Structural complexity was accurately quantified from both contemporary and historical image datasets across three spatial scales: (i) branching coral colony ( Acropora spp.) (ii) reef area (400 m 2) and (iii) reef transect (2 km). This framework resulted in accurate, high-speed 3D habitat reconstructions at scales ranging from small corals to reef-scapes (10s km 2). This study integrated a set of existing multi-view, image-processing algorithms, to accurately compute metrics of structural complexity (e.g., ratio of surface to planar area) underwater solely from images. Measuring structural complexity underwater is not trivial and researchers have been searching for accurate and cost-effective methods that can be applied across spatial extents for over 50 years. Coral reef habitat structural complexity influences key ecological processes, ecosystem biodiversity, and resilience.
0 Comments
Leave a Reply. |