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395 seabed samples and seven environmental variables underpin a 10-meter resolution raster grid predicting sand content for Darwin and Bynoe Harbour. The model, funded by an INPEX-led LNG project and developed by Geoscience Australia and partners, demonstrates high accuracy with a VEcv of 39% for sand. This dataset supersedes previous predictions with an 84.8% improvement in predictive accuracy for sand content over a common interpolation method.
Data is presented in ZIP and HTML formats; specific software for geospatial raster analysis may be required.