Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
A terrain surface dataset that represents the height value of all natural and built features of the surface of the city. Each pixel within the image contains an elevation value in accordance with the Australian Height Datum (AHD).
The data has been captured in May 2018 as GeoTiff files, and covers the entire municipality.
A KML tile index file can be found in the attachments to indicate the location of each tile, along with a sample image.
Capture Information:
Capture Pixel Resolution: 0.1 metres
Limitations:
Whilst every effort is made to provide the data as accurate as possible, the content may not be free from errors, omissions or defects.Preview:Download:A zip file containing all relevant files representing the Digital Surface ModelDownload Digital Surface Model data (12.0GB)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Digital Elevation Model (DEM) 5 Metre Grid of Australia derived from LiDAR model represents a National 5 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 5 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 acquisition of the individual LiDAR surveys and derivation of the 5m product has been part of a long-term collaboration between Geoscience Australia, the Cooperative Research Centre for Spatial Information (CRCSI), the Departments of Climate Change and Environment, State and Territory jurisdictions, Local Government and the Murray Darling Basin Authority under the auspices of the National Elevation Data Framework and Coastal and Urban DEM Program, with additional data supplied by the Australian Department of Defence. The source 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).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Vicmap Elevation includes 5 products:Digital Elevation Model (DEM) 10m1-5m Contours & Relief Melbourne MetroState-wide 10-20m Contours & ReliefMulti-resolution DEM and ContoursCoastal Topographic 1m DEM and 0.5m ContoursVicmap Elevation (land.vic.gov.au)
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).
This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer. The DEMs created for this project were developed using the NOAA National Weather Service's Weather Forecast Office (WFO) boundaries. Because the WFO boundaries can cover large areas,...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Slope relief landform pattern classification based on Speight (2009).
The slope relief product was derived from the 300 m focal median percent slope product, and the Smoothed Digital Elevation Model (DEM-S; ANZCW0703014016), which was derived from the 1 arc-second resolution SRTM data acquired by NASA in February 2000.
The slope relief classification dataset is available in 1 arc-second and 3 arc-second resolutions.
The 3 arc-second resolution product was generated from the 1 arc-second slope relief product and masked by the 3” water and ocean mask datasets. Lineage: Source data 1. 1 arc-second SRTM-derived Smoothed Digital Elevation Model (DEM-S; ANZCW0703014016). 2. 1 arc-second 300 m focal median percent slope product 3. 1 arc-second slope relief product 4. 3 arc-second resolution SRTM water body and ocean mask datasets
Slope relief calculation The slope relief layer is an implementation of the classification of erosional landform patterns characterised by relief and modal slope as defined in Table 5 of Speight, J.G. (2009) Landform. In 'Australian soil and land survey field handbook (3rd edn)', National Committee on Soil and Terrain. CSIRO Publishing, Melbourne (the Yellow Book; the table is the same in the second edition)
Modal slope has been replaced by median slope, since this is considered more amenable to automated processing, and the second highest relief class (90 - 300 m) has been split into two classes, 90 - 150 m and 150 - 300 m; partly due to desire to connect with international work (eg MORAP in USA) where the 150 m relief threshold is used, and partly due to the perceived rarity of relief over 150 m in Australia.
The method was developed in May-June 2011 by John Gallant, CSIRO Land and Water and John Wilford, Geoscience Australia
The slope relief calculation was performed on 1° x 1° tiles, with overlaps to ensure correct values at tile edges.
The 3 arc-second resolution version was generated from the 1 arc-second slope relief product. This was done by aggregating the 1” data over a 3 x 3 grid cell window and taking the majority class of the nine values that contributed to each 3” output grid cell. If there was a tie the result was no data, and in these cases a value was determined using Euclidean allocation. The 3” slope relief data were then masked using the SRTM 3” ocean and water body datasets.
Speight, J.G. (2009) Landform. In 'Australian soil and land survey field handbook (3rd edn)', National Committee on Soil and Terrain. CSIRO Publishing, Melbourne
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Vicmap Elevation includes 5 products:Digital Elevation Model (DEM) 10m1-5m Contours & Relief Melbourne MetroState-wide 10-20m Contours & ReliefMulti-resolution DEM and ContoursCoastal Topographic 1m DEM and 0.5m ContoursVicmap Elevation (land.vic.gov.au)
This dataset contains spatial polygons which represent tree canopy areas across the City of Melbourne. It can be easily mapped using the geometry column.
Tree canopy polygons have been derived by ArborCarbon from high-resolution airborne multispectral imagery. ArborCarbon collected this imagery using the ArborCam, a unique 11-band airborne multispectral camera system optimized for the accurate detection of vegetation and subtle changes in vegetation condition.
The high-resolution airborne imagery datasets were geometrically corrected and orthorectified using the City of Melbourne’s publicly available 2018 aerial imagery and a Digital Terrain Model supplied by the City. A Digital Surface Model was generated from the acquired imagery for the full extent of the City, enabling the stratification of vegetation into a range of height categories. All vegetation >3m above the ground was classified as canopy (excluding vegetation on building rooftops).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This layer is part of Vicmap Elevation 10-20 Contours & Relief, a subset of Vicmap Elevation. It contains topographical relief features represented by lines. Data has been derived from Land Victoria's State Digital Map Base topographic data and converted from Microstation .DGN format to Arc/Info format.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Clay mineralogy is recognised for its role in carbon turnover and storage, buffering of soil pH and ultimately the chemical behaviour of soils. Although clay mineralogy is important to understand the services delivered by soil, it is rarely measured or observed. General reasons given for not observing these properties include their expense, they are often time consuming and difficult to obtain. This set of clay mineral maps (according to GlobalSoilMap.net specifications) was derived using legacy clay mineral determinations from XRay Diffraction (XRD) in combination with Mid Infra-Red Spectroscopy (MIR) and a spatial inference process (model trees).
Mid-infrared (MIR) spectroscopic models were formulated for clay minerals kaolinite, illite and smectite using partial least squares regression (PLSR) and quantitative XRD determinations. The MIR spectroscopic models were applied to 11,500 samples from western Victoria and harmonized to the GlobalSoilMap specified depth intervals (0-5, 5-15, 15-30, 30-60, 60-100 and 100-200 cm) using equal area splines. The abundance of clay minerals were mapped using model trees and spatial covariates of soil forming factors (climate, terrain, organisms, parent material and soil) to represent processes at the various spatial scales. A 10-fold cross validation procedure was implemented to derive a mean prediction estimate and 90% prediction interval.
Kaolinite was the dominant clay mineral of western Victorian upland terrain and volcanic landscapes. Illite was associated with granitic plutons of southern Victoria and aeolian landscapes in the north. Smectitic clay soils were most common in depressions on the volcanic and sedimentary plains.
All clay mineral abundance (%) maps are produced at a 50 m spatial resolution and include: a) mean prediction; b) lower limit of the 90% prediction interval, and c) upper limit of the 90% prediction interval. The maps are for all GlobalSoilMap.net depth intervals for each clay mineral: kaolinite, illite and smectite.
There are currently 54 datasets in this collection.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
A terrain surface dataset that represents the height value of all natural and built features of the surface of the city. Each pixel within the image contains an elevation value in accordance with the Australian Height Datum (AHD).
The data has been captured in May 2018 as GeoTiff files, and covers the entire municipality.
A KML tile index file can be found in the attachments to indicate the location of each tile, along with a sample image.
Capture Information:
Capture Pixel Resolution: 0.1 metres
Limitations:
Whilst every effort is made to provide the data as accurate as possible, the content may not be free from errors, omissions or defects.Preview:Download:A zip file containing all relevant files representing the Digital Surface ModelDownload Digital Surface Model data (12.0GB)