A High-resolution depth model for the North West Shelf and Outer Browse Basin (20210025C)

This resource contains a bathymetry compilation prepared by the University of Western Australia for the North West Shelf of Australia, between the Cape Range and the Dampier Peninsula. The compilation includes, by decreasing resolution:- Publicly available MBES datasets, made available by Geoscience Australia by December 2019.- Satellite derived bathymetry produced using 1000+ images acquired between January 2017 and December 2019.- Seismic derived bathymetry extracted from 100+ surveys acquired between 1981 and 2015.- SRTM topography, reprocessed by Galant et al, 2011: https://pid.geoscience.gov.au/dataset/ga/72759- 2009 Australian Bathymetry and Topography grid: https://pid.geoscience.gov.au/dataset/ga/67703The Seismic and Satellite derived bathymetry grids are also available as individual layers.The vertical and spatial accuracy of the datasets have been thoroughly assessed using high-resolution datasets including publicly available MBES and LADS surveys. The assessment indicates that the seismic derived bathymetry has a depth accuracy better than 1 m + 2% of the absolute water depths while the satellites derived bathymetry has a depth accuracy better than 1 m + 5% of the absolute water depths. A detailed methodology is provided in: Lebrec et al, 2021. Towards a regional high-resolution bathymetry of the North West Shelf of Australia based on Sentinel-2 satellite images, 3D seismic surveys and historical datasets. (https://doi.org/10.5194/essd-13-5191-2021)This dataset is published with the permission of the CEO, Geoscience Australia.AUTHOR’S NOTICE: This dataset should not be used, under any circumstances, for navigation.When used, the dataset should be referenced as follow:Lebrec, U., Paumard, V., O'Leary, M. J., and Lang, S. C.: Towards a regional high-resolution bathymetry of the North West Shelf of Australia based on Sentinel-2 satellite images, 3D seismic surveys and historical datasets, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2021-128, in review, 2021.