<div>The Ashmore Reef and Cartier Island Marine Parks&nbsp;Bathymetry was derived by EOMAP form multispectral satellite data from WorldView-3 satellite sensor. This was acquired by the Australian Government as part of the Marine Parks Grant - Round 3, in 2022-2023 and undertaken by EOMAP Australia Pty Ltd and EOMAP GmbH & Co.KG. The survey area encompasses the Ashmore Reef and Cartier Island Marine Parks in Western Australia. These critical geospatial data layers provide the essential environmental baseline information for the long-term monitoring and management of these Marine Parks. Mapping the shallow water zone is of importance both from an environmental and socioeconomic perspective. Having access to digital, georeferenced, high-resolution maps of bathymetry and benthic habitats of shallow water areas, is of fundamental use in the areas of navigation, ecological research, environmental modelling, management and conservation, and monitoring the impacts from climate change. Bathymetry data was processed using the physics-based inversion method to derive quantitative information of the shallow water bathymetry using the reflected sunlight energy in different wavelengths of the visible and near infrared region. This dataset is not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia.</div>

This investigation uses high-resolution optical satellite imagery to quantify vertical surface offsets associated with the intraplate 20 May 2016 Mw 6.0 Petermann Ranges earthquake, Northern Territory, Australia. The ~20 km long NW-trending rupture resulted from reverse motion on a northeast-dipping fault. We measure vertical surface offsets by differencing pre- and post-earthquake digital elevation models (DEMs) derived from in-track stereo Worldview images. This analysis resolves a maximum vertical deformation of 0.8 ? 0.2 m. We validate these results via comparison to field-based observations and interferometric synthetic aperture radar (InSAR). This new method may be particularly useful for remote characterization of earthquake ruptures with larger (>1 m) vertical deformation, where near-rupture InSAR observations are often compromised by decorrelation.