2 datasets found
  1. D

    NSW Urban Heat Island to Modified Mesh Block 2016

    • data.nsw.gov.au
    • prod.planning-nsw.links.com.au
    arcgis rest service +4
    Updated Sep 17, 2024
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    NSW Department of Climate Change, Energy, the Environment and Water (2024). NSW Urban Heat Island to Modified Mesh Block 2016 [Dataset]. https://www.data.nsw.gov.au/data/dataset/nsw-urban-heat-island-to-modified-mesh-block-2016
    Explore at:
    pdf, wms, arcgis rest service, geotiff, zipAvailable download formats
    Dataset updated
    Sep 17, 2024
    Dataset provided by
    Department of Climate Change, Energy, the Environment and Water of New South Waleshttps://www.nsw.gov.au/departments-and-agencies/dcceew
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New South Wales
    Description

    The Urban Heat Island (UHI) dataset measures the effects of urbanisation on land surface temperatures across Sydney Greater Metropolitan Area for the Summer of 2015-2016.
    UHI shows the variation of temperature to a non-urban vegetated reference, such as heavily wooded areas or national parks around Sydney.
    Derived from the analysis of thermal and infrared data from Landsat satellite, the dataset has been combined with the Australian Bureau of Statistics (ABS) Mesh Block polygon dataset to provide a mean UHI temperature that enables multi-scale spatial analysis of the relationship of heat to green cover.

  2. n

    NSW Urban Heat Island to Modified Mesh Block 2016

    • datasets.seed.nsw.gov.au
    Updated Apr 30, 2016
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    (2016). NSW Urban Heat Island to Modified Mesh Block 2016 [Dataset]. https://datasets.seed.nsw.gov.au/dataset/nsw-urban-heat-island-to-modified-mesh-block-2016
    Explore at:
    Dataset updated
    Apr 30, 2016
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New South Wales
    Description

    The Urban Heat Island (UHI) dataset measures the effects of urbanisation on land surface temperatures across Sydney Greater Metropolitan Area for the Summer of 2015-2016. UHI shows the variation of temperature to a non-urban vegetated reference, such as heavily wooded areas or national parks around Sydney. Derived from the analysis of thermal and infrared data from Landsat satellite, the dataset has been combined with the Australian Bureau of Statistics (ABS) Mesh Block polygon dataset to provide a mean UHI temperature that enables multi-scale spatial analysis of the relationship of heat to green cover. Data and Resources

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
NSW Department of Climate Change, Energy, the Environment and Water (2024). NSW Urban Heat Island to Modified Mesh Block 2016 [Dataset]. https://www.data.nsw.gov.au/data/dataset/nsw-urban-heat-island-to-modified-mesh-block-2016

NSW Urban Heat Island to Modified Mesh Block 2016

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
pdf, wms, arcgis rest service, geotiff, zipAvailable download formats
Dataset updated
Sep 17, 2024
Dataset provided by
Department of Climate Change, Energy, the Environment and Water of New South Waleshttps://www.nsw.gov.au/departments-and-agencies/dcceew
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
New South Wales
Description

The Urban Heat Island (UHI) dataset measures the effects of urbanisation on land surface temperatures across Sydney Greater Metropolitan Area for the Summer of 2015-2016.
UHI shows the variation of temperature to a non-urban vegetated reference, such as heavily wooded areas or national parks around Sydney.
Derived from the analysis of thermal and infrared data from Landsat satellite, the dataset has been combined with the Australian Bureau of Statistics (ABS) Mesh Block polygon dataset to provide a mean UHI temperature that enables multi-scale spatial analysis of the relationship of heat to green cover.

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