Adelaide LiDAR 2008 data was flown by AAMHatch between 13th to 19th September 2008 as part of the Urban Digital Elevation Modelling in High Priority Areas Project funded by the Federal Department of Climate Change. Several data gaps existed in the intital survey due to operational instrumentation errors and a subsequent refly was conducted on 5th January 2009 to complete the dataset. The data was captured with point density of 0.8m point per square metre and overall vertical accuracy has been confirmed at <15cm (68% confidence level). The data are available as mass point files (LAS) comprising ground, thinned ground and non ground points in 2km tiles. A hydrologically conditioned and drainage enforced 2m DEM or HDEM has also been 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 any water modelling. Adelaide Hydrological Enforced DEM(HDEM) 2008

The Adelaide 2009 LiDAR data was captured over the Adelaide coastal metropolitan area between 13th and 19th of September 2008. Some data were re-flown on the 5th of January 2009 due to instrument errors and data gaps. The data were acquired by AAMHatch (now AAMGroup), and purchased by the Commonwealth Department of Climate Change and Energy Efficiency under licence for use by Commonwealth, State and Local Government organisations. The data was captured with a point density of 0.8 points per square metre. Overall vertical accuracy has been confirmed at <15cm (68% confidence level). The data are available as mass point files (LAS) comprising ground, thinned ground and non ground points in 2km tiles in addition to a gridded DEM and hydrologically enforced DEM or HDEM. 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 90 sq km over the Town of Doomadgee, straddling the boundary between the Burke and Doomadgee Shire Councils and are part of the 2010 Gulf LiDAR capture project. This project, undertaken by Vekta 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, vegetation or building) - 1 metre Digital Elevation Model (DEM) in ASCII xyz - 1 metre Digital Elevation Model (DEM) in ESRI grid - 1 metre Digital Elevation Model (DEM) in ASCII grid - 0.25 metre contours in ESRI Shape

These datasets cover approximately 260 sq km along the eastern seaboard of the Cook Shire Council and over all of Lizard, Palfrey and South Islands 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

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].

These datasets cover approximately 16 sq km over all of Sue Island within the Torres Strait Island Regional Council and are part of the 2010 Torres Strait Islands LiDAR capture project. This project, undertaken by Vekta 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, vegetation or building) - 1 metre Digital Elevation Model (DEM) in ASCII xyz - 1 metre Digital Elevation Model (DEM) in ASCII grid - 1 metre Digital Elevation Model (DEM) in ESRI grid - 0.25 metre contours in ESRI Shape

These datasets cover approximately 400 sq km in the central, northern and eastern sectors of the Townsville City Council and are part of the 2009 Tropical Coast LiDAR capture project. This project, undertaken by Fugro Spatial Solutions Pty Ltd on behalf of the Queensland Government captured highly accurate elevation data using LiDAR technology. Available dataset formats (in 2 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

1.0 Introduction The SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Imagery and Mapping Agency (NIMA), as well as the participation of the German and Italian space agencies, to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. The SRTM instrument consisted of the Spaceborne Imaging Radar-C (SIR-C) hardware set modified with a Space Station-derived mast and additional antennae to form an interferometer with a 60 meter long baseline. A description of the SRTM mission, can be found in Farr and Kobrick (2000). Synthetic aperture radars are side-looking instruments and acquire data along continuous swaths. The SRTM swaths extended from about 30 degrees off-nadir to about 58 degrees off-nadir from an altitude of 233 km, and thus were about 225 km wide. During the data flight the instrument was operated at all times the orbiter was over land and about 1000 individual swaths were acquired over the ten days of mapping operations. Length of the acquired swaths range from a few hundred to several thousand km. Each individual data acquisition is referred to as a "data take." SRTM was the primary (and pretty much only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and flew for 11 days. Following several hours for instrument deployment, activation and checkout, systematic interferometric data were collected for 222.4 consecutive hours. The instrument operated virtually flawlessly and imaged 99.96% of the targeted landmass at least one time, 94.59% at least twice and about 50% at least three or more times. The goal was to image each terrain segment at least twice from different angles (on ascending, or north-going, and descending orbit passes) to fill in areas shadowed from the radar beam by terrain. This 'targeted landmass' consisted of all land between 56 degrees south and 60 degrees north latitude, which comprises almost exactly 80% of the total landmass. 2.0 Data Set Characteristics 2.1 General SRTM data were processed in a systematic fashion using the SRTM Ground Data Processing System (GDPS) supercomputer system at the Jet Propulsion Laboratory. Data were mosaicked into approximately 15,000 one degree by one degree cells and formatted according to the Digital Terrain Elevation Data (DTED) specification for delivery to NIMA, who will use it to update and extend their DTED products. Data were processed on a continent-by-continent basis beginning with North America. 2.2 Organization SRTM data are organized into individual rasterized cells, or tiles, each covering one degree by one degree in latitude and longitude. Sample spacing for individual data points is either 1 arc-second or 3 arc-seconds, referred to as SRTM-1 and SRTM-3, respectively. Since one arc-second at the equator corresponds to roughly 30 meters in horizontal extent, the sets are sometimes referred to as "30 meter" or "90 meter" data.

This Digital Elevation Model Image is a subset from the 9 second version 1 DEM. The subset is at 500m resolution and the data is stored at /d/geo/store/data/national_data/dem/9second_v1. Dataset(s) in this directory include: the dem9s500m (LAMBERT projected image) and the dem9s500mdd (GEODETIC projected image). Jpeg representations are also stored with each image for a quick view. NOTE : Images can be viewed using ERMapper and ERViewer (and ARCGIS with ecw plug-in) (latter available free from www.ermapper.com ). Full metadata is stored in GEOMET. For further information contact Bruce Kilgour.

Metadata acquired by GA for the purposes of the National DEM Project from WA Landgate. DEMs are a mass of ground heights representing a terrain surface. In this instance they are spaced at a regular grid interval. This dataset has been developed from aerial photography to assist in the digital imagery Orthorectification program. The status of coverage or other information relative to specific DEM data may be obtained directly through the DOLA contact.