Brief description
The Digital Elevation Model (DEM) 25 Metre Grid of Australia derived from LiDAR model represents a National 25 metre (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 kilometres. These surveys cover Australia's populated coastal zone; floodplain surveys within the Murray Darling Basin, and individual surveys of major and minor population centres. All available 1 metre resolution LiDAR-derived DEMs have been compiled and resampled to 25 metre resolution datasets for each survey area, and then merged into a single dataset for each State. These State datasets have also been merged into a 1 second resolution national dataset.Lineage
Maintenance and Update Frequency: unknown
Statement: he Digital Elevation Model (DEM) 5 Metre Grid of Australia derived from LiDAR represents a National 25 metre (bare earth) DEM which has been derived from some 236 individual LiDAR surveys between 2001 and 2015 covering. All available 1 metre resolution LiDAR-derived DEMs have been compiled and resampled to 25 metre resolution datasets for each survey area, and then merged into a single dataset for each State. These State datasets have also been merged into a 1 second resolution national dataset.
The sourced datasets have been captured to standards that are generally consistent with the Australian ICSM LiDAR Acquisition Specifications with require a fundamental vertical accuracy of at least 0.30m (95% confidence) and horizontal accuracy of at least 0.80m (95% confidence).
All 1-metre DEMs were resampled to 25-metre-resolution using a neighbourhood-mean method for analysis. Error surfaces were created along with the DEMs by calculating the difference with the National DEM.
Issued: 2015
text: westlimit=112.0; southlimit=-44.0; eastlimit=154.0; northlimit=-9.0; projection=GDA94 (EPSG:4283)
Subjects
DEM |
Earth Sciences |
ECOLOGY Landscape |
GIS Dataset |
LAND Topography Models |
Published_External |
elevation |
geoscientificInformation |
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Identifiers
- DOI : 10.4225/25/5653D877D3E08
- URI : pid.geoscience.gov.au/dataset/ga/89676
- global : 22be4b55-2485-4320-e053-10a3070a5236