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  • The 3 second (~90m) Smoothed Digital Elevation Model (DEM-S) Version 1.0 was derived from resampling the 1 second SRTM derived DEM-S (gridded smoothed digital elevation model; ANZCW0703014016). The DEM represents ground surface topography, excluding vegetation features, and has been smoothed to reduce noise and improve the representation of surface shape. The DEM-S was derived from the 1 second Digital Surface Model (DSM; ANZCW0703013336) and the Digital Elevation Model Version 1.0 (DEM; ANZCW0703013355) by an adaptive smoothing process that applies more smoothing in flatter areas than hilly areas, and more smoothing in noisier areas than in less noisy areas. This DEM-S supports calculation of local terrain shape attributes such as slope, aspect and curvatures that could not be reliably derived from the unsmoothed 1 second DEM because of noise. A full description of the methods is in progress (Gallant et al., in prep) and in the 1 second User Guide. The 3 second DEM was produced for use by government and the public under Creative Commons attribution. The 1 second DSM and DEM that forms the basis of the product are also available as 3 second products (DSM; ANZCW0703014216, DEM; ANZCW0703014182, DEM-S; ANZCW0703014217). <strong>Please note that all 1 second products are available for GOVERNMENT USERS ONLY.</strong>

  • Redland 2009 LiDAR survey was captured over the Redland City Council region between 25th March and 9th June 2009. The data was acquired by AAM Hatch (now AAMGroup) and funded by Queensland and Commonwealth governments. The data is licensed for use by all Commonwealth, State and Local Government. Data acquisition and post-processing has been controlled to achieve a vertical accuracy within 0.15m (RMS, 68% CI) and horizontal accuracy within 0.45 m. Horizontal coordinates are based upon Map Grid of Australia (MGA) Zone 56 projection. Vertical coordinates are referenced to Australian Height Datum (AHD). The data was captured with point density of 2.5 points per square metre and the data is available as mass point files (ASCII, LAS) and ESRI GRID files with 1m grid spacing in 1km tiles. The data are available as a number of surface types, products and formats including: mass points, digital elevation model (DEM) and hydrologically enforced DEM (HDEM) for the low lying coastal areas. Redland DEM forms part of the Brisbane HDEM which is a combination of the Brisbane 2009 LiDAR, Redland 2009 LiDAR, Moreton Bay 2009 LiDAR and Logan 2009 LiDAR survey areas.

  • The digital elevation model (DEM) grid covers the whole of the Cocos (Keeling) Islands. It was provided by AAM in 1km by 1km tiles which were then joined together using ESRI ArcMap. Each grid cell (1m x 1m) contains the height, in metres, of the ground surface derived from the 2011 LiDAR aerial survey data.

  • Laser DEM Grids consists of 27 digital elevation model grids. The Arcview grid files were constructed from the Airborne Laser Scanning shapefiles. The Laser DEM grid tiles cover the eastern portion of the Christmas Island. Each grid contains the height in metres of the ground surface with a value every one metre on the ground.

  • AAMHatch acquired Airborne Laser Scanning (ALS) data for the Sydney Metropolitan area between 11 June 2007 & 7 July 2007 and again in February to June 2008. The source data are available as mass points (ASCII XYZ, LAS) and Gridded 2m and 10m DEM tiles or 2m Mosaic. The vertical accuracy is 0.15m at 1 sigma in open clear ground as specified in the project scope. All data are referenced to GDA94/MGA Zone 56 and AHD using independent survey control which means the project area is not seamless and height difference between the 2007 and 2008 data will exist. A hydrologically enforced elevation model is available for this product, which should be used for any water modelling.

  • These datasets cover approximately 1400 sq km in the northern sector of the Lockyer Valley Regional Council and comprise the 2010 Lockyer Valley LiDAR capture project. This project, undertaken by AAM Pty Ltd on behalf of the Queensland Government captured highly accurate elevation data using LiDAR technology. Available dataset formats (in 1 kilometre tiles) are: - Classified las (LiDAR Data Exchange Format where strikes are classified as ground, non-ground or building) - 1 metre Digital Elevation Model (DEM) in ASCII xyz - 1 metre Digital Elevation Model (DEM) in ESRI ASCII grid - 0.25 metre contours in ESRI Shape

  • A useful spin off of the soft photogrammetry is the opportunity to get one metre contours over the disturbed areas of the Island. For the north-east area of the Island 2km X 2km DEM contour tiles have been trialed in the CIGIS. Most are at a contour interval of 5 metres but tiles 2269 and 2469 have been done at a one metre contour interval. The DEM contours are surface contours. They pick up the reflective surface beneath the aircraft. The reflective surface may be the ground or it may be a dense vegetation canopy or rooftops etc. Further one metre contour coverage can be prepared on a cost recovered basis.

  • The 2011 digital elevation model (DEM) grid covers the whole of the Christmas Island. It was provided by AAM in 1km by 1km ESRI grid tiles which were then joined together using ESRI ArcMap. Each grid cell (1m by 1m) contains the height in metres of the ground surface derived from the 2011 LiDAR aerial survey data.

  • 10m contours were generated for the whole of Christmas Island from the August 2011 LiDAR digital elevation model.

  • These datasets cover approximately 1230 sq km in the middle sector of the Southern Downs Regional Council and are part of the 2010 Southern Downs LiDAR capture project. This project, undertaken by AAM Pty Ltd on behalf of the Queensland Government captured highly accurate elevation data using LiDAR technology. Available dataset formats (in 1 kilometre tiles) are: - Classified las (LiDAR Data Exchange Format where strikes are classified as ground, non-ground or building) - 1 metre Digital Elevation Model (DEM) in ASCII xyz - 1 metre Digital Elevation Model (DEM) in ESRI ASCII grid - 0.25 metre contours in ESRI Shape