- Title
- Land Use Map Greater Sydney 2016
- License
- Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
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+ Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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+ No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
+ For more info see https://creativecommons.org/licenses/by-nc/4.0/. - Abstract
Land Use Map for the Greater Sydney obtained from Landsat Imagery for the year 2016 (2016-09-10). The imagery was initially classified using the Maximum Likelihood Classificator included in the GIS TerrSet.
As ancilliary data for the classification were employed probability images for the classes beaches, industrial, residential, mixed urban and water. These probability images were obtained from Mesh Block data for the year 2016 and the New South Wales (NSW) Topographic Map. In aditt...- Creation Date
- Oct. 1, 2017, 11:59 p.m.
- Type
- Raster Data
- Keywords
- Great Sydney , Sydney , Land Use Mapping , Land Use Land Cover Map , Land Use Map , Australia
- Category
- Environment
- environmental resources, protection and conservation. Examples: environmental pollution, waste storage and treatment, environmental impact assessment, monitoring environmental risk, nature reserves, landscape
- Regions
- Australia
- Owner
- dagaral
- Maintenance Frequency
- There Are No Plans To Update The Data
- Purpose
This series of maps were obtained as part of a project for setting up a Land Use Model for the Greater Sydney.
- Language
- English
- Temporal Extent
- Sept. 10, 2016, 11:59 p.m. - Sept. 10, 2016, 11:59 p.m.
- Supplemental Information
This work has been supported by the UNSW and City Futures Research Centre, the project SIGEOMOD_2020 · BIA2013-43462-P (Spanish Ministry of Economy and Compe...
- Spatial Representation Type
- grid data is used to represent geographic data
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