<div>The Georges River (Sydney Region) 5m Digital Elevation Model (DEM) is generated from all relevant data available on the Elvis - Elevation and Depth - Foundation Spatial Data (Elvis) platform with a resolution of 5 Metres or higher. Source datasets with a resolution higher than 5m have been resampled to 5m.</div><div>This elevation model is generated from a total of 989 datasets sourced from multiple providers including State and Territory Governments. The capture dates for input data range from 2011/02/26 - 2021/06/05. See Table 1 below for further information. The area covers the land mass of the Georges River (Sydney Region) drainage basin as defined by the Bureau of Meteorology Geofabric.</div>

<div>The Macleay River 5m Digital Elevation Model (DEM) is generated from all relevant data available on the Elvis - Elevation and Depth - Foundation Spatial Data (Elvis) platform with a resolution of 5 Metres or higher. Source datasets with a resolution higher than 5m have been resampled to 5m.&nbsp;</div><div>This elevation model is generated from a total of 3136 datasets sourced from multiple providers including State and Territory Governments. The capture dates for input data range from 30/10/2009 - 14/05/2018. See Table 1 below for further information.&nbsp;</div><div>The area covers the land mass of the Macleay River drainage basin as defined by the Bureau of Meteorology Geofabric. Near shore bathymetry data has also been included in the final raster.&nbsp;</div><div><br></div>

<div>The Bellinger River 5m Digital Elevation Model (DEM) is generated from all relevant data available on the Elvis - Elevation and Depth - Foundation Spatial Data (Elvis) platform with a resolution of 5 Metres or higher. Source datasets with a resolution higher than 5m have been resampled to 5m.&nbsp;</div><div><br></div><div>This elevation model is generated from a total of 1020 datasets sourced from multiple providers including State and Territory Governments. The capture dates for input data range from 16/12/2009 - 01/07/2018. See Table 1 below for further information.&nbsp;</div><div><br></div><div>The area covers the land mass of the Bellinger River drainage basin as defined by the Bureau of Meteorology Geofabric. Near shore bathymetry data has also been included in the final raster.&nbsp;</div><div><br></div>

<div>The Karuah River 5m Digital Elevation Model (DEM) is generated from all relevant data available on the Elvis - Elevation and Depth - Foundation Spatial Data (Elvis) platform with a resolution of 5 Metres or higher. Source datasets with a resolution higher than 5m have been resampled to 5m.</div><div>This elevation model is generated from a total of 1264 datasets sourced from multiple providers including State and Territory Governments. The capture dates for input data range from 17/08/2012 – 25/07/2018 See Table 1 below for further information.</div><div>The area covers the land mass of the Karuah River drainage basin as defined by the Bureau of Meteorology Geofabric. Near shore bathymetry data has also been included in the final raster.</div>

<div>The Brunswick River 5m Digital Elevation Model (DEM) is generated from all relevant data available on the Elvis - Elevation and Depth - Foundation Spatial Data (Elvis) platform with a resolution of 5 Metres or higher. Source datasets with a resolution higher than 5m have been resampled to 5m.</div><div>This elevation model is generated from 161 datasets sourced from multiple providers including State and Territory Governments. The capture dates for input data range from 28/08/2010 – 04/08/2018. See Table 1 below for further information.</div><div>The area covers the land mass of the Brunswick River drainage basin as defined by the Bureau of Meteorology Geofabric. Near shore bathymetry data has also been included in the final raster.</div>

<div>The Manning River 5m Digital Elevation Model (DEM) is generated from all relevant data available on the Elvis - Elevation and Depth - Foundation Spatial Data (Elvis) platform with a resolution of 5 Metres or higher. Source datasets with a resolution higher than 5m have been resampled to 5m.</div><div>This elevation model is generated from a total of 2280 datasets sourced from multiple providers including State and Territory Governments. The capture dates for input data range from 2012/08/14 - 2018/07/15. See Table 1 below for further information.</div><div>The area covers the land mass of the Manning River drainage basin as defined by the Bureau of Meteorology Geofabric. Near shore bathymetry data has also been included in the final raster.</div>

<div>The Drainage Catchment Digital Elevation Model (DEM) collection includes DEMs created by Geoscience Australia using open elevation data sourced from the Elvis Elevation and Depth system. The drainage catchment DEMs provide a regional product filling the gap between localised high resolution tiled data and the national low resolution mosaic provided by the 1-second Shutte Radar Topographic Mission dataset. The drainage catchment DEMs fill a critical gap, providing data to support efficient planning, research and decision-making by government, industry, and research communities. DEMs for available drainage catchments are delivered as a mosaicked product in raster format. Metadata for each drainage catchment is supplied in word document and shapefile format. The shapefile enables users to inspect metadata in a Geographic Information System.</div><div><br></div><div>Value: Data used at regional scales to represent and provide understanding of ground surface topography. Supply of models as a single file allows easier use and wider uptake, for example in assessments of water movement through the landscape or the potential movements of fires. Provide access to all Drainage Catchment Digital Elevation Models through a single record.</div>

<div>The Digital Earth Africa notebooks and tools repository hosts Jupyter Notebooks, Python scripts and use cases/workflows for analysing Digital Earth Africa data products and services. The repository is intended to provide a guide to using the Digital Earth Africa Sandbox environment, and to showcase a wide range of geospatial analyses relevant to Digital Earth Africa's thematic areas of interest.</div><div><br></div><div>The Digital Earth Africa notebooks repository is a live and dynamic GitHub project and is regularly updated. The project wiki and readme document contains more detailed information.</div>

<div>Intertidal environments contain many important ecological habitats such as sandy beaches, tidal flats, rocky shores, and reefs. These environments also provide many valuable benefits such as storm surge protection, carbon storage, and natural resources.&nbsp;</div><div>&nbsp;</div><div>Intertidal zones are being increasingly faced with threats including coastal erosion, land reclamation (e.g. port construction), and sea level rise. These regions are often highly dynamic, and accurate, up-to-date elevation data describing the changing topography and extent of these environments is needed. However, this data is expensive and challenging to map across the entire intertidal zone of a continent the size of Australia. &nbsp;</div><div>&nbsp;</div><div>The intertidal zone also forms a critical habitat and foraging ground for migratory shore birds and other species. An improved characterisation of the exposure patterns of these dynamic environments is important to support conservation efforts and to gain a better understanding of migratory species pathways. &nbsp;</div><div>&nbsp;</div><div>The <strong>DEA Intertidal </strong>product suite (https://knowledge.dea.ga.gov.au/data/product/dea-intertidal) provides annual continental -scale elevation and exposure products for Australia’s intertidal zone, mapped at a 10m resolution, from Digital Earth Australia’s archive of open-source Landsat and Sentinel-2 satellite data. These intertidal products enable users to better monitor and understand some of the most dynamic regions of Australia’s coastlines.</div><div><br></div><div><strong>Applications</strong></div><div><br></div><div> - Integration with existing topographic and bathymetric data to seamlessly map the elevation of the coastal zone.&nbsp;</div><div>&nbsp;</div><div> - Providing baseline elevation data for predicting the impact of coastal hazards such as storm surges, tsunami inundation, or future sea-level rise.&nbsp;</div><div>&nbsp;</div><div> - Investigating coastal erosion and sediment transport processes.&nbsp;</div><div>&nbsp;</div><div> - Supporting habitat mapping and modelling for coastal ecosystems extending across the terrestrial to marine boundary.&nbsp;</div><div>&nbsp;</div><div> - Characterisation of the spatio-temporal exposure patterns of the intertidal zone to support migratory species studies and applications.&nbsp;</div><div><br></div><div><br></div><div><br></div>

<div>The Hastings River 5m Digital Elevation Model (DEM) is generated from all relevant data available on the Elvis - Elevation and Depth - Foundation Spatial Data (Elvis) platform with a resolution of 5 Metres or higher. Source datasets with a resolution higher than 5m have been resampled to 5m.</div><div>This elevation model is generated from a total of 1238 datasets sourced from multiple providers including State and Territory Governments. The capture dates for input data range from 2009/10/30 - 2018/07/15. See Table 1 below for further information.</div><div>The area covers the land mass of the Hastings River drainage basin as defined by the Bureau of Meteorology Geofabric. Near shore bathymetry data has also been included in the final raster.</div>