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  • The Utilization of Land Surface Temperature Information as an Input for Coastal City

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    Ardiyansyah644479-Published.pdf (616.4Kb)
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    Author(s)
    Ardiyansyah, A
    Munir, A
    Gabric, A
    Griffith University Author(s)
    Gabric, Albert J.
    Ardiyansyah, Angga
    Year published
    2021
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    Abstract
    Numerous studies have shown that there is a positive correlation between the increase of urban built-up areas with elevated Surface Urban Heat Island (UHI) temperature. It can be considered that SUHI is a by-product of urbanisation. The study found that SUHI in Makassar City is seasonal dependent. High surface temperature tends to occur in the dry season within the urban centre, expanding to the South-Eastern. Furthermore, by combining land surface temperature and Local Climate Zone (LCZ) classification scheme, 16 out of 17 local climate zones were identified, excluding LCZ 7 (light built) within the observation year. In ...
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    Numerous studies have shown that there is a positive correlation between the increase of urban built-up areas with elevated Surface Urban Heat Island (UHI) temperature. It can be considered that SUHI is a by-product of urbanisation. The study found that SUHI in Makassar City is seasonal dependent. High surface temperature tends to occur in the dry season within the urban centre, expanding to the South-Eastern. Furthermore, by combining land surface temperature and Local Climate Zone (LCZ) classification scheme, 16 out of 17 local climate zones were identified, excluding LCZ 7 (light built) within the observation year. In detailed, the combination of LCZ 3 class (compact low rise) and LCZ 10 class (industrial), occupied more than 80 % of the total built-up category with a surface temperature range of 11 C and 16 C respectively. Furthermore, the result indicates a homogenous surface temperature within LCZ 3 with a lower SD of 1.40 C compared to LCZ 10 of 1.95 C. Also, the study explored the correlation of various urban and non-urban indices using artificial neural network. Based on the model used, the indices showed poor correlation with LCZ 3 but adversely correlates to LCZ 10. A final loss value of 0.222 in LCZ 10 was obtained. In contrast, LCZ 3 resulted in high final loss value of 146.554. The result indicated that there are other variables which should be considered in exploring SUHI correlation within LCZ 3 (compact low rise) in Makassar City. In contrast, LCZ 10 (industrial) correlate positively with three urban indices, consisting of NDBI (43.94), BI (37.79), and NDBal (34.77). In brief, the result indicated that SUHI phenomenon in LCZ 3 was poorly represented by the model, whereas the level of city development can be predicted better using LCZ 10 (industrial) areas.
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    Conference Title
    IOP Conference Series: Earth and Environmental Science
    Volume
    921
    Issue
    1
    DOI
    https://doi.org/10.1088/1755-1315/921/1/012004
    Copyright Statement
    © The authors 2021.Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
    Subject
    Environmental sciences
    Publication URI
    http://hdl.handle.net/10072/411859
    Collection
    • Conference outputs

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