Want to know what the Australian coastline may look like in 2100? Coastal Risk Australia (CRA) has been developed to show you just that. It is an interactive map tool designed to communicate coastal inundation associated with sea level rise to the year 2100. Using Google Earth Engine technology, CRA allows you to investigate the extent of coastal inundation using the latest 3D models of the Australian coastline. Data have been captured using airborne LiDAR technology to create detailed digital elevation models (DEMs), which are then combined with ‘bucket-fill’ inundation modelling to create the map-based visualisations. This capability has been developed through long term investments and partnerships between FrontierSI and NGIS Australia. The DEMs which underpin the inundation models are now available for download from Geoscience Australia at http://www.ga.gov.au/elvis/.
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Technical notes
The data provided in this tool has been developed to help communicate the risks of sea level rise and storm surge. The data is not provided as professional advice, and should not be relied upon for site specific decision making or for making financial or any other commitments.
While every effort has been made to ensure the accuracy and correctness of materials presented, the developers make no expressed or implied warranties (including warranties of merchantability and fitness) with respect to the accuracy, completeness, character, function, or capabilities of the tool and the data and images accessed through it. Appropriate use and conclusions drawn from the data and images are the responsibility of the user.
The developers expressly disclaims liability for any loss, however caused and whether due to negligence or otherwise, arising directly or indirectly from the use of, or reliance on, this visualisation tool or the information contained in it, by any person.
The Coastal Risk Australia website does not include the dynamic response of unconsolidated shorelines (eg. sand, mud and shell) or the increase in tidal flows in coastal waterways that will result from different coastal configurations in some locations. Nor does the model take account of the effects of catchment flooding from coincident extreme rainfall events. More detailed local study may be required to ensure that particular local circumstances and dynamics are adequately considered in any adaptation response to sea level rise.