Data

Land surface temperature and urban heat island estimates for Australian urban centres

Commonwealth Scientific and Industrial Research Organisation
Caccetta, Peter ; Devereux, Drew ; Amati, Marco ; Boruff, Bryan ; Kaspar, Joseph ; Phelan, Kath ; Saunders, Alex
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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=info:doi10.4225/08/59bf0ce837385&rft.title=Land surface temperature and urban heat island estimates for Australian urban centres&rft.identifier=https://doi.org/10.4225/08/59bf0ce837385&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Land surface temperature (LST) maps, and urban heat island (UHI) maps, for Australian urban centres, calculated over summer 2015/16. Generated as part of an investigation into changes in urban greenspace.\nLineage: Land surface temperatures were calculated using data from the Landsat 8 thermal infrared sensor (TIRS) band 10. Each image was processed using the generalised single channel method of Jiménez-Muñoz et al. (2003, 2009). The required atmospheric parameters were obtained from publicly available observations by the Australian Government Bureau of Meteorology (BOM). The required land surface emissivity (LSE) values were estimated using the NDVI approach (Sobrino & Raissouni 2000). As many overpasses as possible during the summer of 2015/16 were processed, and the results averaged to obtain an estimate of typical summer LST. Urban Heat Island (UHI) was estimated by subtracting from the LST images an estimate of non-urban baseline temperature. This baseline was estimated by a first-order fit to the temperature of native vegetation within and around each urban centre.&rft.creator=Caccetta, Peter &rft.creator=Devereux, Drew &rft.creator=Amati, Marco &rft.creator=Boruff, Bryan &rft.creator=Kaspar, Joseph &rft.creator=Phelan, Kath &rft.creator=Saunders, Alex &rft.date=2017&rft.edition=v2&rft.relation=http://202020vision.com.au/help-hub/the-research-hub/detail/?id=4059&rft.coverage=westlimit=115.0; southlimit=-44.0; eastlimit=154.0; northlimit=-12.0; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO, Horticulture Innovation Australia, RMIT University, The University of Western Australia 2017.&rft_subject=land surface temperature&rft_subject=urban heat island&rft_subject=UHI&rft_subject=Urban analysis and development&rft_subject=Urban and regional planning&rft_subject=BUILT ENVIRONMENT AND DESIGN&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO, Horticulture Innovation Australia, RMIT University, The University of Western Australia 2017.

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Brief description

Land surface temperature (LST) maps, and urban heat island (UHI) maps, for Australian urban centres, calculated over summer 2015/16. Generated as part of an investigation into changes in urban greenspace.
Lineage: Land surface temperatures were calculated using data from the Landsat 8 thermal infrared sensor (TIRS) band 10. Each image was processed using the generalised single channel method of Jiménez-Muñoz et al. (2003, 2009). The required atmospheric parameters were obtained from publicly available observations by the Australian Government Bureau of Meteorology (BOM). The required land surface emissivity (LSE) values were estimated using the NDVI approach (Sobrino & Raissouni 2000). As many overpasses as possible during the summer of 2015/16 were processed, and the results averaged to obtain an estimate of typical summer LST. Urban Heat Island (UHI) was estimated by subtracting from the LST images an estimate of non-urban baseline temperature. This baseline was estimated by a first-order fit to the temperature of native vegetation within and around each urban centre.

Available: 2017-10-16

Data time period: 2015-10-01 to 2016-04-30

This dataset is part of a larger collection

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154,-12 154,-44 115,-44 115,-12 154,-12

134.5,-28

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