Standard Presentation (15 mins) Australian Marine Sciences Association 2022

GMRT-AusSeabed: Custom bathymetry compilations to underpin marine science (#404)

Vicki Ferrini 1 , Rowan Winsemius 2 , Diana Greenslade 3 , Daniel Ierodiaconou 4 , Robin Beaman 5 , Francisco Navidad 6 , John Morton 1 , Natalie Lennard 7 , Kim Picard 7 , Joshua Sixsmith 7 , Kimberlee Baldry 7 , Gareth Davies 7 , Justy Siwabessy 7
  1. Columbia University, New York
  2. FrontierSI, Melbourne
  3. Bureau of Meteorology, Canberra
  4. Deakin University, Geelong
  5. James Cook University, Townsville
  6. Commonwealth Scientific and Industrial Research Organisation, Canberra
  7. Geoscience Australia, Symonston

Members of the Australian marine science community use bathymetry data compilations to underpin marine models, science, management and planning. Creating quality bathymetry compilations is a challenge, requiring specialist skill and resources that many users of bathymetry data do not have. Thus, the marine science community has been forced to create their own compilations, use low resolution data or be restricted to existing bathymetry compilation products. 

The GMRT-AusSeabed platform is a collaborative project co-funded by the Australian Research Data Common and 5 other AusSeabed contributors that aims to empower the user by bringing bathymetry data directly to them. The platform allows the user to build custom bathymetry compilations to meet their specific user needs, based on a repository of bathymetry data hosted by AusSeabed. Users can access this data, standardise datums, customise grid resolutions, and assess data quality all from their own device. In this presentation, we  demonstrate the functionality of the prototype platform and the expected user experience.  

GMRT-AusSeabed will produce bathymetry compilations for fisheries, environmental managers, ocean and coastal modelers, local councils, government, coastal planners, offshore energy, marine surveyors and recreational users. This will accelerate research by reducing manual effort, avoiding duplication and freeing users' effort for science.