Data

Australian National Multiscale Topography Models

Geoscience Australia
Commonwealth of Australia (Geoscience Australia)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://ecat.ga.gov.au/geonetwork/accessDenied.jsp/eng/catalog.search#/metadata/5390cbef-38dd-445a-b6d8-ebd077f19aeb&rft.title=Australian National Multiscale Topography Models&rft.identifier=https://pid.geoscience.gov.au/dataset/ga/144631&rft.description=The Topographic Position Index measures the topographic slope position of landforms by comparing the mean elevation of a specific neighbourhood area with the elevation value of a central cell. This is done for every cell or pixel in the digital elevation model (DEM) to derive the relative topographic position (e.g. upper, middle and lower landscape elements). Ruggedness informs on the roughness of the surface and is calculated as the standard deviation of elevations. Both these terrain components are used to generate a multi-scale topographic index over the Australian continent using the algorithm developed by Lindsay, J, B., Cockburn, J. M. H. and Russell, H. A. J., 2015. An integral image approach to performing multi-scale topographic position analysis, Geomorphology, 245, 51-61. Topographic position is captured across three spatial scale and display as a ternary image. The ternary image reveals a rich representation of nested landform features with broad application to geomorphological and hydrological process understanding and mapping of regolith and soils. Value: Broad application in understanding geomorphological and hydrological processes and in mapping regolith and soils over the Australian continent. Can be used as inputs into geospatial modelling and machine learning Scope: The dataset is national. The algorithm can be run on any digital elevation gridded dataset.Maintenance and Update Frequency: annuallyStatement: Source: Model based on the 3 second resolution (~90m) DEM derived from the Shuttle Radar Topography Mission (SRTM) and implements the algorithm by Lindsay et al. (2015) Form: The dataset is displayed as a ternary image with three levels for topographic position using window sizes of 0.2–8.1 km; 8.2–65.2 km and 65.6–147.6 km. These scales are display in red , green and blue colours in the ternary image. This Collection record was created to enhance the discoverability and management of the individual products contained in the collection. See the individual eCat records for product specific lineage.&rft.creator=Commonwealth of Australia (Geoscience Australia) &rft.date=2026&rft.coverage=westlimit=112.00; southlimit=-44.00; eastlimit=154.00; northlimit=-9.00&rft.coverage=westlimit=112.00; southlimit=-44.00; eastlimit=154.00; northlimit=-9.00&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/&rft_rights=Australian Government Security ClassificationSystem https://www.protectivesecurity.gov.au/Pages/default.aspx&rft_subject=geoscientificInformation&rft_subject=EARTH SCIENCES&rft_subject=HVC_144631&rft_subject=HVC - High Value Collection&rft_subject=DC2020&rft_subject=Landform position&rft_subject=Landform classification&rft_subject=Geormophology&rft_subject=Landscape visualisation&rft_subject=Geomorphometrics&rft_subject=Published_External&rft.type=dataset&rft.language=English Access the data
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The Topographic Position Index measures the topographic slope position of landforms by comparing the mean elevation of a specific neighbourhood area with the elevation value of a central cell. This is done for every cell or pixel in the digital elevation model (DEM) to derive the relative topographic position (e.g. upper, middle and lower landscape elements). Ruggedness informs on the roughness of the surface and is calculated as the standard deviation of elevations. Both these terrain components are used to generate a multi-scale topographic index over the Australian continent using the algorithm developed by Lindsay, J, B., Cockburn, J. M. H. and Russell, H. A. J., 2015. An integral image approach to performing multi-scale topographic position analysis, Geomorphology, 245, 51-61. Topographic position is captured across three spatial scale and display as a ternary image. The ternary image reveals a rich representation of nested landform features with broad application to geomorphological and hydrological process understanding and mapping of regolith and soils.

Value: Broad application in understanding geomorphological and hydrological processes and in mapping regolith and soils over the Australian continent. Can be used as inputs into geospatial modelling and machine learning

Scope: The dataset is national. The algorithm can be run on any digital elevation gridded dataset.

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Maintenance and Update Frequency: annually
Statement: Source: Model based on the 3 second resolution (~90m) DEM derived from the Shuttle Radar Topography Mission (SRTM) and implements the algorithm by Lindsay et al. (2015)

Form: The dataset is displayed as a ternary image with three levels for topographic position using window sizes of 0.2–8.1 km; 8.2–65.2 km and 65.6–147.6 km. These scales are display in red , green and blue colours in the ternary image.

This Collection record was created to enhance the discoverability and management of the individual products contained in the collection. See the individual eCat records for product specific lineage.

Notes

Purpose
Broad application in understanding geomorphological and hydrological processes and in mapping regolith and soils over the Australian continent. Can be used as inputs into geospatial modelling and machine learning

Issued: 24 02 2022

Data time period: 2018-05-01

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154,-9 154,-44 112,-44 112,-9 154,-9

133,-26.5

text: westlimit=112.00; southlimit=-44.00; eastlimit=154.00; northlimit=-9.00

Subjects
DC2020 | EARTH SCIENCES | Geomorphometrics | Geormophology | HVC - High Value Collection | HVC_144631 | Landform classification | Landform position | Landscape visualisation | Published_External | geoscientificInformation |

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url : https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/search?isTemplate=n&any=q(keyword\*:"HVC_144631")

Identifiers
ACN 633 798 857