The Digital Elevation Model (DEM) 5 meter Grid of Australia derived from LiDAR model represents a National 5 meter (bare earth) DEM which has been derived from some 236 individual LiDAR surveys between 2001 and 2015 covering an area in excess of 245,000 square kilometers. These surveys cover Australia's populated …

Accurate coastal wave and hydrodynamic modelling relies on quality bathymetric input. Many national scale modelling studies, hindcast and forecast products, have, or are currently using a 2009 digital elevation model (DEM), which does not include recently available bathymetric surveys and is now out of date. There are immediate needs for an updated national product, preceding the delivery of the AusSeabed program’s Global Multi-Resolution Topography for Australian coastal and ocean models. There are also challenges in stitching coarse resolution DEMs, which are often too shallow where they meet high-resolution information (e.g. LiDAR surveys) and require supervised/manual modifications (e.g. NSW, Perth, and Portland VIC bathymetries). This report updates the 2009 topography and bathymetry with a selection of nearshore surveys and demonstrates where the 2009 dataset and nearshore bathymetries do not matchup. Lineage: All of the datasets listed in Table 1 (see supporting files) were used in previous CSIRO internal projects or download from online data portals and processed using QGIS and R’s ‘raster’ package. The Perth LiDAR surveys were provided as points and gridded in R using raster::rasterFromXYZ(). The Macquarie Harbour contour lines were regridded in QGIS using the TIN interpolator. Each dataset was mapped with an accompanying Type Identifier (TID) following the conventions of the GEBCO dataset. The mapping went through several iterations, at each iteration the blending was checked for inconstancy, i.e., where the GA250m DEM was too shallow when it met the high-resolution LiDAR surveys. QGIS v3.16.4 was used to draw masks over inconstant blending and GA250 values falling within the mask and between two depths were assigned NA (no-data). LiDAR datasets were projected to +proj=longlat +datum=WGS84 +no_defs using raster::projectRaster(), resampled to the GA250 grid using raster::resample() and then merged with raster::merge(). Nearest neighbour resampling was performed for all datasets except for GEBCO ~500m product, which used the bilinear method. The order of the mapping overlay is sequential from TID = 1 being the base, through to 107, where 0 is the gap filled values.

Permissions are required for all code and internal datasets (Contact Julian OGrady).

Interpolated contours lines at 2 metre intervals produced by DPIRD (formerly DAFWA) from the Land Monitor project (1998-2000) DEM based on a 10 metre grid. This data set does not cover the entire south west region - see the coverage map in the metadata for the full area. Show full description

As part of the Urban Digital Elevation Modelling (UDEM) Project (July 2008- June 2010), Airborne LiDAR data were acquired in partnership with State jurisdictions over priority areas including Perth-Bunbury, Adelaide, Brisbane and the Gold Coast, Melbourne, Sydney and the NSW Hunter and Central Coast. These datasets were then further processed to produce hydrologically enforced and conditioned DEMs (Hydro-DEMs).

Digital Elevation data record the terrain height variations from the processed point- or line-located data recorded during a geophysical survey. This GSWA Perth Basin South Elevation Grid Geodetic is elevation data for the Perth Basin South, WA, 2011. This survey was acquired under the project No. 1243 for the geological survey of WA. The grid has a cell size of 0.00083 degrees (approximately 86m). This grid contains the ground elevation relative to the geoid for the Perth Basin South, WA, 2011. It represents the vertical distance from a location on the Earth's surface to the geoid. The data are given in units of meters. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.

Digital Elevation Model (DEM) 1metre ESRI Grid Float format as 4942 tiles

Lineage: LIDAR Survey of the floodplains within Kakadu National Park conducted by Fugro Spatial Solutions for Geoscience Australia Fugro Spatial Solutions were awarded a contract by Geoscience Australia to carry out an Aerial LiDAR Survey over the Kakadu. The data will be used to examine the potential impacts of climate change and sea level rise on the West Alligator, South Alligator, East Alligator River systems and other minor areas. The project area was flight planned using parameters as specified. A FSS aircraft and aircrew were mobilised to site and the project area was captured using a Leica ALS60 system positioned using a DGPS base-station at Darwin airport. The Darwin base-station was positioned by DGPS observations from local control stations. A ground control survey was carried out by FSS surveyors to determine ground positions and heights for control and check points throughout the area. All data was returned to FSS office in Perth and processed. The deliverable datasets were generated and supplied to Geoscience Australia with this metadata information.

NEDF Metadata Acquisition Start Date: Saturday, 22 October 2011 Acquisition End Date: Wednesday, 16 November 2011 Sensor: LiDAR Device Name: Leica ALS60 (S/N: 6145) Flying Height (AGL): 1409 INS/IMU Used: uIRS-56024477 Number of Runs: 468 Number of Cross Runs: 28 Swath Width: 997 Flight Direction: Non-Cardinal Swath (side) Overlap: 20 Horizontal Datum: GDA94 Vertical Datum: AHD71 Map Projection: MGA53 Description of Aerotriangulation Process Used: Not Applicable Description of Rectification Process Used: Not Applicable Spatial Accuracy Horizontal: 0.8 Spatial Accuracy Vertical: 0.3 Average Point Spacing (per/sqm): 2 Laser Return Types: 4 pulses (1st 2nd 3rd 4th and intensity) Data Thinning: None Laser Footprint Size: 0.32 Calibration certification (Manufacturer/Cert. Company): Leica Limitations of the Data: To project specification Surface Type: Various Product Type: Other Classification Type: C0 Grid Resolution: 2 Distribution Format: Other Processing/Derivation Lineage: Capture, Geodetic Validation WMS: Not Applicable?

This dataset provides geomorphic features of the Australian Marine Parks (2022). The data was generated by Seamap Australia as part of an Our Marine Parks (Parks Australia) project with funding from the Australian Government to improve knowledge relating to classification of the Australian Marine Parks real estate.

Bathymetry data was collated from existing AusSeabed data holdings and compiled into multi-resolution bathymetry mosaics for each Park (see https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/fb451be4-9de1-4bc2-8fd6-0f285f90916f). All publicly available bathymetry data as at 30th June 2022 was included. Macquarie Island was updated on 25/08/2023 to reflect the new AMP boundaries.

The Whitebox tools package in R was used to calculate geomorphometry using the geomorphron function. Processing for each Park was addressed manually, with search distances and slope thresholds adjusted between Parks depending on quality and resolution of bathymetry data, and characteristics of the seafloor. Geomorphons were classified into geomorphic features using the Dove et al (2020) Seabed Morphology Features Glossary. These geomorphic units provide a consistent way to classify the seabed and may be used in combination with visual validation methods to develop benthic habitat maps.

Data is supplied as a Web Map Service of geomorphic features overlaid on hillshade for the mapped regions. Data is available for download as a zipped package of geotiffs with accompanying hillshade. ESRI .lyr file and QGIS .sld files are supplied for display in desktop GIS.

All Parks with 25% or more bathymetry coverage were included in processing. The table below indicates the Parks included in this data package, and the percent coverage of geomorphic data for each, based on the bathymetry coverage available at the time of processing. Note that the current coverage of bathymetry may be greater than that expressed below and contained within this data package, for areas in which more recent surveys have been published.

PARK % COVERAGE Abrolhos 36% Apollo 52% Beagle 35% Boags 31% Bremer 70% Carnarvon Canyon 72% Central Eastern* 47% (41%) Christmas Island* 31% (28%) Cod Grounds 97% Coral Sea* 100% (30%) East Gippsland 96% Eastern Recherche 29% Flinders 30% Franklin 51% Freycinet 40% Gascoyne 53% Geographe 25% Gifford 100% Great Australian Bight 36% Heard & McDonald Islands*† 100% (0%) Hunter 90% Huon 94% Jervis 99% Macquarie Island 40% Mermaid Reef 72% Murray 47% Nelson 58% Ningaloo 54% Norfolk 38% Perth Canyon 98% Solitary Islands 34% South Tasman Rise 59% South-west Corner 46% Tasman Fracture 99% Two Rocks 27% Western Eyre 25% Zeehan 74%

• indicates Digital Elevation Model (DEM) data was included in analysis. Coverage of surveyed (non-modelled) bathymetry is shown in parentheses () † has been included in analysis but is not an Australian Marine Park

For glossary of features, see: Dove et al. (2020) A two-part seabed geomorphology classification scheme (v.2); Part 1: morphology features glossary. http://dx.doi.org/10.5281/ZENODO.4075248

Digital Surface Model (DSM) 1metre ESRI Grid Float format as 4942 tiles.

There is no common usage of the terms digital elevation model (DEM), digital terrain model (DTM) and digital surface model (DSM) in scientific literature. In most cases the term digital surface model represents the earth's surface and includes all objects on it. In contrast to a DSM, the digital terrain model (DTM) represents the bare ground surface without any objects like plants and buildings. Digital Elevation Model (DEM) and Digital Terrain Model (DTM) appear to be used interchangeably. Lineage: Fugro Spatial Solutions (FSS) were awarded a contract by Geoscience Australia to carry out an Aerial LiDAR Survey over the Kakadu National Park. The data will be used to examine the potential impacts of climate change and sea level rise on the West Alligator, South Alligator, East Alligator River systems and other minor areas. The project area was flight planned using parameters as specified. A FSS aircraft and aircrew were mobilised to site and the project area was captured using a Leica ALS60 system positioned using a DGPS base-station at Darwin airport. The Darwin base-station was positioned by DGPS observations from local control stations. A ground control survey was carried out by FSS surveyors to determine ground positions and heights for control and check points throughout the area. All data was returned to FSS office in Perth and processed. The deliverable datasets were generated and supplied to Geoscience Australia with this metadata information.

NEDF Metadata Acquisition Start Date: Saturday, 22 October 2011 Acquisition End Date: Wednesday, 16 November 2011 Sensor: LiDAR Device Name: Leica ALS60 (S/N: 6145) Flying Height (AGL): 1409 INS/IMU Used: uIRS-56024477 Number of Runs: 468 Number of Cross Runs: 28 Swath Width: 997 Flight Direction: Non-Cardinal Swath (side) Overlap: 20 Horizontal Datum: GDA94 Vertical Datum: AHD71 Map Projection: MGA53 Description of Aerotriangulation Process Used: Not Applicable Description of Rectification Process Used: Not Applicable Spatial Accuracy Horizontal: 0.8 Spatial Accuracy Vertical: 0.3 Average Point Spacing (per/sqm): 2 Laser Return Types: 4 pulses (1st 2nd 3rd 4th and intensity) Data Thinning: None Laser Footprint Size: 0.32 Calibration certification (Manufacturer/Cert. Company): Leica Limitations of the Data: To project specification Surface Type: Various Product Type: Other Classification Type: C0 Grid Resolution: 2 Distribution Format: Other Processing/Derivation Lineage: Capture, Geodetic Validation WMS: Not Applicable?

Melbourne liefert sich mit Sydney ein Kopf-an Kopf-Rennen um den Titel der größten Stadt Australiens. Im Jahr 2024 ist Melbourne mit rund 5,24 Millionen Einwohner:innen noch knapp auf dem ersten Platz. Sydney hat im Jahr 2024 rund 5,14 Millionen Einwohner:innen. Fairerweise sollte bemerkt werden, dass die Daten nur auf amtlichen Schätzungen beruhen. Welche Stadt am Ende wirklich den Titel für sich beanspruchen kann, wird sich wohl nur im Rahmen des nächsten Zensus klären lassen. Die Metropole Sydney Die beiden Metropolen sind – wenig verwunderlich – auch die zwei größten Städte in Australien und Ozeanien. Die australische Hauptstadt ist aber das wesentlich kleinere Canberra, das nur circa 510.641 Einwohner zählt. Sydney mag zwar nicht die offizielle Hauptstadt Australiens sein, ist aber dessen Handels-, Finanz- und Industriezentrum sowie touristischer Knotenpunkt. Die Metropole ist für ihre außergewöhnlich hohe Lebensqualität bekannt, die allerdings auch mit hohen Lebenshaltungskosten einhergeht. Weltberühmt ist die markante Oper von Sydney, die als Wahrzeichen der Stadt gilt und 2007 zum UNESCO-Weltkulturerbe erklärt wurde. Städte, Metropolen, Megacities Immer mehr Menschen leben in städtischen Ballungszentren – ein Trend, der sich auch zukünftig fortsetzen wird. Ab welcher Einwohnerzahl eine Ortschaft als Stadt zu zählen hat und wie ihre Grenzen zu ziehen sind, ist allerdings international nicht einheitlich definiert.

Agglomeration Mit Agglomeration (Ballungsraum) ist zumeist ein zusammenhängendes urbanes Gebiet gemeint, wie z.B. das Ruhrgebiet, das aus mehreren Städten und Vororten bestehen kann.

Metropolen Metropolen sind Städte, die für die Region grundsätzlich eine herausragende Stellung besitzen (z.B. in wirtschaftlicher oder kultureller Hinsicht). Megacities Als

Megacities

werden Städte mit mindestens 10 Millionen Einwohnern bezeichnet.

Aufgrund der Vielzahl unterschiedlicher Definitionen, Abgrenzungen und Überschneidungen, sind Städte hinsichtlich der Einwohnerzahl international nur begrenzt vergleichbar.