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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/108130
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dc.contributor.authorSharifi, E.-
dc.contributor.authorSivam, A,-
dc.contributor.authorKaruppannan, S,-
dc.contributor.authorBoland, J,-
dc.contributor.editorGeertman, S.,-
dc.contributor.editorAllan, A.,-
dc.contributor.editorPettit, C.,-
dc.contributor.editorStillwell, J.,-
dc.date.issued2017-
dc.identifier.citationPlanning Support Science for Smarter Urban Futures, 2017 / Geertman, S., , Allan, A., , Pettit, C., , Stillwell, J., (ed./s), Ch.24, pp.433-447-
dc.identifier.isbn3319578189-
dc.identifier.isbn9783319578187-
dc.identifier.urihttp://hdl.handle.net/2440/108130-
dc.descriptionMeeting: CUPUM 2017: 15th International Conference on Computers in Urban Planning and Urban Management (11-14 July 2017 Adelaide, Australia )-
dc.description.abstractSmarter urban futures require resilient built environment in the context of climate change. This chapter demonstrates the application of satellite-based surface cover and temperature data to support planning for urban heat resilience. Landsat 7 ETM+ and Landsat 8 data is used to analyse the correlation of urban surface covers to the urban heat island effect in Adelaide. Methods for data source selection, surface cover classification, surface temperature calculation and analysis are detailed in this chapter. Results indicate that tree canopy and surface water covers had the least surface temperature variations in mesoscale. The average minimum surface temperature of tree canopy cover was 2.79 °C lower than asphalt and 4.74 °C lower than paved areas. Freely available satellite urban surface temperature data can assist urban planning authorities in planning heat resilient urban spaces for smarter urban futures in the context of climate change.-
dc.description.statementofresponsibilityEhsan Sharifi, Alpana Sivam, Sadasivam Karuppannan and John W Boland-
dc.language.isoen-
dc.publisherSpringer International Publishing-
dc.relation.ispartofseriesLecture Notes in Geoinformation and Cartography-
dc.rights© Springer International Publishing AG 2017-
dc.source.urihttp://dx.doi.org/10.1007/978-3-319-57819-4_24-
dc.subjectUrban cover; land use; urban heat island; remote sensing; urban greenery-
dc.titleLandsat surface temperature data analysis for urban heat resilience: case study of Adelaide-
dc.typeBook chapter-
dc.identifier.doi10.1007/978-3-319-57819-4_24-
dc.publisher.placeGewerbestrasse-
pubs.publication-statusPublished-
dc.identifier.orcidSharifi, E. [0000-0003-1309-925X]-
Appears in Collections:Architecture publications
Aurora harvest 8

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