Moreton Bay 2009 LiDAR data was captured over the Moreton Bay Regional Council area between March and June 2009. The data was acquired by AAM Hatch (now AAMGroup) and funded by Queensland and Commonwealth governments. The project area covering 2440sqkm is licenced for use by all Commonwealth, State and Local Government organisations. Data acquisition and post-processing has been controlled to achieve a vertical accuracy witihn 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.

AAM Hatch was engaged by Geoscience Australia to undertake a LiDAR survey over the BHMAR Phase 2 prject area, for the purpose of producing a DTM and vegetation structure analysis. The survey covers an area of approximately 7856 sqkm of the Lower Darling River, downstream from Wilcannia. LiDAR was acquired from a fixed wing aircraft between 19 June 2009 and 5 August 2009 with a vertical accuracy of 0.15m and horizontal accuracy of 0.25m in coordinated system GDA 94, MGA Zone 54 and vertical datum of AHD. File formats included las format and 1m DTM ESRI Grids in ArcGIS binary grid format. Producing a DTM and vegetation structure analysis for the BHMAR Phase 2 Project area for groundwater monitoring.

Project In 2013, Geoscience Australia commissioned AAM to undertake a LiDAR survey with accompanying field survey and ortho imagery capture over the Macintyre river region comprising approx 7,500 square kilometres. Ref Deed CMC G3298 Contract CMC G4417. Collection of both LiDAR and simultaneous and near simultaneous imagery utilising the Optech ALTM Pegasus HA500 sensor and the Vision Map A3 digital camera occurred from 06 November 2013 to 17th December 2013 with a total of 20 LiDAR flights plus a very small infill (LiDAR only) flight on 17th March 2014. The LiDAR was controlled from existing CORS GPS stations and 3 newly setup reference GPS station. 158 test point sites that overlapped the LiDAR were surveyed by AAM using Kinematic Smartnet GPS. The specification for this survey was provided in the aforementioned contract document Data The LiDAR, Ortho and field surveys conform in accuracy, format and nomenclature conform to the above specification. The ortho imagery comprises 0.20m GSD RGB Geotiff imagery in Geotiff and ECW formats. The area spans MGA zones 55 and 56 products have been generated with an overlap as per the specification and nomenclature advice from the client.

<p><b>Removed from distribution 21/04/2020 on request from Kevin Kennedy</b> <p>The 3 second (~90m) Shuttle Radar Topography Mission (SRTM) Derived Digital Elevation Models Version 1.0 package comprises three elevation models: the Digital Surface Model (DSM; ANZCW0703014216), the Digital Elevation Model (DEM; ANZCW0703014182) and the Smoothed Digital Elevation Model (DEM-S; ANZCW0703014217). The DEMs were derived from re-sampling the 1 second SRTM models derived from the SRTM data captured by NASA in February 2000, supported by the GEODATA 9 second DEM in void areas and other supplementary layers. <p>DSM represents the ground surface topography as well as features above the ground, such as vegetation and man-made structures. Stripes and voids have been removed from the 1 second SRTM data to provide an enhanced and complete DSM for Australia and near-shore islands. <p>DEM represents ground surface topography, with vegetation features removed using an automatic process supported by several vegetation maps. This provides substantial improvements in the quality and consistency of the data relative to the original SRTM data, but is not free from artefacts. Man-made structures such as urban areas and power line towers have not been treated. The removal of vegetation effects has produced satisfactory results over most of the continent and areas with defects identified in supplementary layers distributed with the data, and described in the User Guide. <p>DEM-S represents ground surface topography, excluding vegetation features, and has been smoothed to reduce noise and improve the representation of surface shape. An adaptive smoothing process applied 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 curvature that could not be reliably derived from the unsmoothed 1 second DEM because of noise. <p>The 3 second DEMs do not include the hydrologically enforced product, which is only available in 1 second resolution. The 3 second DEMs were released under Creative Commons attribution licensing in ESRI Grid format. Further information can be found in the supplementary layers supplied with the data and in the User Guide.

Presented here is a method to create a 1-second Seamless Coastal Digital Elevation Model (SCDEM) from 1-meter resolution LiDAR-derived DEMs The process is used to make three surfaces using three statistics: -Mean - provides elevation for each cell -Range - an absolute indication of roughness or terrain variability for each cell -Standard Deviation - a normalised indication of roughness or terrain variability for each cell The Seamless Coastal DEM creation process can be broken into several phases: 1.Calculation of summary statistics and creation of DEMs for each survey area at the desired resolution (projected coordinate system) 2.Resampling all DEMs to 1-second (geographic coordinate system) 3.Identifying the area of least difference (seamline) using a delta-surface of overlapping survey areas 4.Re-shaping survey outlines along seamlines 5.Clipping summary statistic DEMs along re-shaped survey outlines 6.Mosaicking all surveys together into a seamless DEM The SCDEM creation process has been largely automated; scripts have been created to accomplish steps 1, 5 and 6 (which are the most time-intensive steps). Steps 2, 3, and 4 are conducted manually for each area where overlapping surveys exist. The SCDEM has been tested against the control points provided with the original LiDAR surveys, and it has been found to have a lower RMSE [2.02m] than any existing 1-second elevation datasets: the Shuttle Radar Topography Mission (SRTM) DEM [2.78m] and the smoothed version of the SRTM DEM [2.61m].

The Bunbury 2008 LiDAR data was captured over the Bunbury region during February, 2008. The data was acquired by AAMHatch (now AAMGroup) and Fugro Spatial Solutions through a number of separate missions as part of the larger Swan Coast LiDAR Survey that covers the regions of Perth, Peel, Harvey, Bunbury and Busselton. The project was funded by Department of Water, WA for the purposes of coastal inundation modelling and a range of local and regional planning. The data are made available under licence for use by Commonwealth, State and Local Government. The data was captured with point density of 1 point per square metre and overall vertical accuracy has been confirmed at <15cm (68% confidence). The data are available as a number of products including mass point files (ASCII, LAS) and ESRI GRID files with 1m grid spacing. A 2m posting hydrologically enforced digital elevation model (HDEM) and inundation contours has also been derived for low lying coastal areas.

As a consequence of the Greater Hobart Quickbird Imagery Trial project I&LS has produced a 12.5m interval DEM based on LIST 5m and 10m contours. The extent of the 12.5m DEM data over Greater Hobart Quickbird Trial area is delineated by the green box in the map image. The areas where 5m contour were used as the source data for the DEM creation (depicted by pink shaded tiles in map image) have the greater height accuracy warranting the 12.5m grid interval. The remaining area uses the same LIST 10m contour data as used for creation of the Tas 25m DEM. Extent MGA coordinates are 439987mE to 590012mE and 5169983mN to 5295008mN.

The data covers an area of approximately 4000 sq km in the Namoi Valley, located around Narrabri, NSW. The LiDAR was captured by RPS Spatial in September and October 2013 with a point density of two points per square metre. The specified accuracies; 30cm vertical and 80cm horizontal, were achieved and verified through a rigorous network of check points and base stations. A set of seamless products were produced including hydro-flattened bare earth DEMs, DSMs, Canopy Height Models (CHM) and Foliage Cover Models (FCM). The outputs of the project are compliant with National ICSM LiDAR Product Specifications and the NEDF.

The Brisbane hydrologically enforced digital elevation model (DEM) was created from a combination of the following surveys; Brisbane 2009 LiDAR, Redland 2009 LiDAR, Gold Coast 2009 LiDAR, Moreton Bay 2009 LiDAR and Logan 2009 LiDAR survey areas. The data is licensed for use by all Commonwealth, State and Local Government. Data acquisition and post-processing for all of the input surveys has been controlled to achieve a fundamental vertical accuracy of <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 hydrologically conditioned and drainage enforced 2m DEM or HDEM was developed in 2010 as part of the Urban DEM project managed by the CRC for Spatial Information and Geoscience Australia. The HDEM was produced by SKM using the ANUDEM program. The HDEM ensures that primary stream/channel flow, and water flow across the land surface are accurately represented. The hydrologically enforced elevation model should be used for hydrological modelling.

These datasets cover approximately 14 sq km along the northern boundary of the Wujal Wujal Shire Council and are part of the 2009 North Queensland LiDAR capture project. This project, undertaken by Photomapping Services 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, vegetation or building) - 1 metre Digital Elevation Model (DEM) in ASCII xyz - 0.25 metre contours in ESRI Shape