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Urbani izziv Volume 30, No. 2, December 2019 : 105-112

UDK: 911.375.1(497.711)
DOI: 10.5379/urbani-izziv-en-2019-30-02-004

 

   Article in PDF format

 

Author

Gordana Kaplan

Eskisehir Technical University, Earth and Space Sciences Institute, Eskisehir, Turcija
kaplangorde@gmail.com

 

Title

Evaluating the roles of green and built-up areas in reducing a surface urban heat island using remote sensing data

 

Abstract

Rapid urbanization has several negative effects on both the environment and human health. Urbanization has also become an important contributor to global warming. One of these effects is the urban heat island (UHI), which is caused by human activities and defined as the temperature difference between urban and surrounding rural areas. With rapid urbanization in the past few decades, Skopje has experienced remarkable UHI effects. To investigate the roles of built-up and green areas in a surface UHI, this article uses satellite data from Landsat ETM+ to analyse the land surface temperature and high-resolution Planet Scope DOVE data to analyse built-up and green areas. For geostatistical analyses, seventeen randomly selected subareas in Skopje were used. The results show a significant correlation between the UHI and built-up areas, and strong correlation between green areas and areas not affected by the UHI, indicating that the UHI effect can be significantly weakened with additional green areas. One of the significant findings in the study is the ideal proportion of built-up (40%) and green areas (60%), where the UHI effect is weak, or in some cases prevented. For future studies, investigating other factors that may contribute to the UHI phenomenon is suggested.

 

Key Words

surface urban heat island, remote sensing, satellite imagery, urbanization, land surface temperature

 

 

 

 

PUBLISHER

Urbanistični inštitut RS
Urbani izziv - Editorial Board
Trnovski pristan 2, 1000 Ljubljana, SLO

  + 386 (0)1 420 13 10
  urbani.izziv@uirs.si

ISSN

Print edition: 0353-6483
Web edition: 1855-8399

INDEX

GOOGLE SCHOLAR
h5-index: 12
h5-median: 17
INDEX COPERNICUS
ICV 2018: 121,25
CLARIVATE ANALYTICS
Indexed in ESCI


SCOPUS ELSEVIER

SCImago Journal & Country Rank

SNIP: 0,357 (Quartile: Q2)
CiteScore: 0,44

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