High-resolution bathymetry, seafloor texture maps, and colour corrected images from the Greater Haig Fras Marine Protected Area (MPA) and the South West Deeps (East) MPA collected during RRS Discovery cruise DY152 with BioCam

Bodenmann, Adrian (2025) High-resolution bathymetry, seafloor texture maps, and colour corrected images from the Greater Haig Fras Marine Protected Area (MPA) and the South West Deeps (East) MPA collected during RRS Discovery cruise DY152 with BioCam. NERC EDS British Oceanographic Data Centre NOC doi:10.5285/31b8167c-4d8d-07f0-e063-7086abc03df1 [Dataset]

Abstract

The dataset contains BioCam visual seafloor mapping device data collected between 12th to 21st July 2022 in the Greater Haig Fras Marine Protected Area (MPA) and the South West Deeps (East) MPA collected by the University of Southampton and the National Oceanography Centre (NOC) on RRS Discovery cruise DY152, as part of the NERC Oceanids Marine Sensor Capital program (grant reference NE/P020887/1, BioCam - Mapping of Benthic Biology, Geology and Ecology with Essential Ocean Variables). These data were collected using the BioCam seafloor mapping device mounted to the 6000 m rated Autosub Long Range (ALR) Autonomous Underwater Vehicle (AUV). This includes colour corrected strobed images, cm-resolution bathymetry maps and texture maps. To collect colour imagery, a strobe was mounted at the front and another one at the back of the Autonomous Underwater Vehicle (AUV) and were used to illuminate the seafloor when the colour camera of BioCam, mounted at the centre of the AUV, acquired those images once every 3s. The strobed colour images were stored in raw format along with their timestamps. A line laser mounted at the front and another one mounted at the back of the AUV projected lines onto the seafloor at the same time. The lasers were permanently on, except when the strobes were triggered, when they were briefly turned off to avoid projecting the laser lines onto the strobed colour photos. Images of the laser line projection were acquired at 10 Hz and saved along with their timestamps. Post mission, the strobed images were colour corrected with an algorithm implemented in oplab-pipeline in post processing. Bathymetric data were computed using the laser line images that were processed with a light-sectioning algorithm published by Bodenmann, Thornton and Ura (2016). Texture maps were generated by projecting the colour-corrected images onto the 3D reconstructed bathymetry as detailed by Bodenmann, Thornton and Ura (2016).

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Contributors

Creator: Adrian Bodenmann

Contributor: Jose De La Cruz Cappelletto

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