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Metadata : NT Per Cent Slope as 2 Classes (derived from 1 sec SRTM DEM-S) |
Index:
Metadata Details:
Name:AS/NZS ISO 19115 Geographic Information - Metadata, ANZLIC Metadata Profile
Version:1.0
Date Metadata Extracted:2024-11-23
Date Metadata Last Updated:2022-01-31
Current URL (HTML format) : http://www.ntlis.nt.gov.au/metadata/export_data?type=html&metadata_id=7C25FF8FFD8162F7E050CD9B21440D08
Current URL (XML format) : http://www.ntlis.nt.gov.au/metadata/export_data?type=xml&metadata_id=7C25FF8FFD8162F7E050CD9B21440D08
Citation
ANZLIC Identifier:7C25FF8FFD8162F7E050CD9B21440D08
Title: NT Per Cent Slope as 2 Classes (derived from 1 sec SRTM DEM-S)
Citation Date:2018-12-04
Date Type:creation
Custodian:Department of Environment, Parks and Water Security
Description
This image dataset describes 2 classes of slope as a percentage across the Northern Territory.
Slope measures the inclination of the land surface from the horizontal. Per cent slope represents this inclination as the ratio of change in height to distance. Each grid in the raster dataset is 1 second x 1 second (equivalent to 30m x 30m).
- Class 2: Greater than 2 percent slope. This class is displayed on NR Maps in a red opaque colour.
- Class 1: Less than or equal to 2 percent slope. This class is not displayed on NR Maps but is equivalent to the absence areas of class 2.
The dataset was reclassified from the original dataset, Slope Derived from 1 second SRTM DEM-S version 1.0 and sourced via Commonwealth of Australia (CSIRO).
A smoothed digital elevation model (DEM-S) is based on the bare-earth DEM that has been adaptively smoothed to reduce random noise typically associated with the SRTM data in low relief areas.
The DEM-S data was derived from the 1 second Shuttle Radar Topography Mission (SRTM) data acquired by NASA in February 2000 and publicly released under Creative Commons licensing from November 2011.
Read Supplementary Information: How to view this data in NR Maps.
- elevation
- imageryBaseMapsEarthCover
Bounding Coordinates:
- North Bounding Coordinate:-10
- South Bounding Coordinate:-26
- East Bounding Coordinate:138
- West Bounding Coordinate:129
Dataset Status
Dataset ID:
Language:English
Character Set: Latin 1
Progress:completed
Maintenance and Update Frequency:notPlanned
Data Currency Start Date:2018-12-04
Data Currency End Date:2018-12-04
Access Constraint:Download the spatial data package via data.nt.gov.au/
You are licensed to use the geospatial products on the terms and conditions set out in: Creative Commons Attribution 4.0 International Public License (CC BY 4.0) at: creativecommons.org/licenses/by/4.0/legalcode
If you do not agree to the terms and conditions you must not use the geospatial products.
You are free to copy, communicate and adapt the licensed material, provided that you abide by the licence terms (including Attribution) and attribute the licensed material using the statement:
This data was modified by the Department of Environment, Parks and Water Security and originally supplied by (Copyright) Commonwealth of Australia (CSIRO) 2011.
Data Quality
Lineage:Slope derived dataset (Australia) downloaded via CSIRO data.csiro.au/dap/landingpage?pid=csiro:5142&v=4
The grid image was modified by this Department in October 2018. The data was clipped to the Northern Territory and reclassified to 2 classes using ESRI ArcGIS software.
Source data:
1 second SRTM-derived Smoothed Digital Elevation Model (DEM-S; ANZCW0703014016).
Source calculation:
Percent slope was calculated from DEM-S using the finite difference method (Gallant and Wilson, 2000). The different spacing in the E-W and N-S directions due to the geographic projection of the data was accounted for by using the actual spacing in metres of the grid points calculated from the latitude.
The slope calculation was performed on 1 second x 1 second tiles, with overlaps to ensure correct values at tile edges.
Positional Accuracy:Sourced from original Metadata. The horizontal positional error is the same as for the raw SRTM 1 second data, with 90% of tested locations within 7.2 m for Australia. See Rodriguez et al. (2006) for more information.
Attribute Accuracy:Sourced from original Metadata. Accuracy of the slope product has not been assessed. The smoothed DEM-S has been designed to be suitable for deriving landform attributes such as slope. See the DEM-S metadata for further information.
Logical Consistency:Sourced from original Metadata. This product is a consistent representation of terrain slope based on the information in DEM-S.
Completeness:Sourced from original Metadata. The slope product covers the same area as the source DEM-S, which is virtually all of continental Australia and near coastal islands. Some tiles containing of mainland or pieces of islands were not supplied at 1 second resolution and are therefore missing, see DEM-S metadata for details.
Contacts
Name Organisation Position Role Phone Fax Data Requests Officer Department of Environment, Parks and Water Security Geospatial Services Branch (on behalf of department) distributor datarequests.depws@nt.gov.au
Data Dictionary
No data dictionary defined for this dataset
Supplementary Information
Bibliographic Reference:
Gallant, J.C. and Wilson, J.P. (2000)
Primary topographic attributes, chapter 3 in Wilson, J.P. and Gallant, J.C. Terrain Analysis: Principles and Applications, John Wiley and Sons, New York.
Gallant, J.C., Dowling, T.I., Read, A.M., Wilson, N., Tickle, P., Inskeep, C. (2011)
1 second SRTM Derived Digital Elevation Models User Guide. Geoscience Australia
d28rz98at9flks.cloudfront.net/72759/1secSRTM_Derived_DEMs_UserGuide_v1.0.4.pdf
The DEM-S dataset is distributed for download via Geoscience Australia.
ecat.ga.gov.au/geonetwork/srv/eng/catalog.search?node=srv#/metadata/aac46307-fce8-449d-e044-00144fdd4fa6
This data is displayed on NR Maps nrmaps.nt.gov.au/nrmaps.html
- Open folder Land Management. Turn on layer Slope greater than 2 percent (red). Areas that are not coloured red are less than 2 percent slope.
- Zoom to area of interest.
- Change the Basemaps layer to display underlying imagery.
This record maintained using the NTLIS Metadata Tool