Urban Heat Island Analysis Using the Landsat 8 Satellite Data: A Case Study in Skopje, Macedonia

Kaplan, Gordana; Avdan, Uğur; Avdan, Zehra Yiğit

doi:10.3390/ecrs-2-05171

Cited by 88 publications

(73 citation statements)

References 13 publications

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“…e results from the meteorological measurements showed di erences up to 5°C in di erent parts of the city, and the results from thermal imaging showed a 12°C di erence between the city centre and the rural surroundings. Kaplan et al (2018) con rmed the presence of a UHI in Skopje using remote sensing data and also found a correlation between built-up areas and the UHI. Comparing meteorological data in the period between 2009 and 2019, drastic changes in the temperature can also be noticed.…”

Section: Methodsmentioning

confidence: 61%

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

Kaplan

2019

Urbani Izziv

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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.

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Section: Methodsmentioning

confidence: 61%

“…Because an SUHI is de ned as a temperature di erence between the rural and urban areas, an SUHI can be calculated with simple equations. Ma et al (2010) proposed the following equation for calculating an SUHI, which has been successfully used in many studies (Kaplan et al, 2018):…”

Section: Methodsmentioning

confidence: 99%

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

Kaplan

2019

Urbani Izziv

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“…In North Macedonia, research articles are focused on climate vulnerability (Glavinov, 2012), UHI analysis (Kaplan et al, 2018) and the impact of the climatic conditions on human health (Kendrovski et al, 2011;WHO, 2011;Kendrovski et al, 2014;Bislimovska, 2015;Martinez et al, 2016), but there are no specific studies on the OTC.…”

Section: Countries With Low Otc Research Productionmentioning

confidence: 99%

Outdoor thermal comfort research in urban areas of Central and Southeast Europe: A review

Dunjić¹

2019

Geographica Pannonica

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Constant urban population growth and intensive urbanization lead to increased pressure on urban areas leading to uncomfortable living conditions. The quality of urban living conditions often depends on the thermal comfort of the open urban spaces, which are used on the daily basis. That is the reason why the attention towards outdoor thermal comfort (OTC) is increasing in the last decade among the researchers from different fields of expertise. In this article, the review of the outdoor thermal comfort research in urban areas of 11 countries of Central and Southeast Europe in the last decade (2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019). The main aim of the review is to give a comprehensive, systematic and complete insight in the current situation in the OTC research interest. The results of the review show increased but uneven interest in outdoor thermal comfort by the end of the research period in countries of the Central and Southeast Europe. In total, 120 articles on the topic of outdoor thermal comfort were identified in the research area. The most significant contribution to the urban outdoor thermal comfort research comes from Hungary, Serbia and Greece. Furthermore, five research objectives were identified: methodology improvement and development, climate sensitive and comfortable urban design and planning, citizens/pedestrian comfort and health assessment and improvement, tourism and health sector support and literature review.

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“…(2) Extract remote sensing image data: After preprocessing the remote sensing images, the existing land use classifications were obtained through the integration of supervised classification and field investigation. The NDVI was derived from the processing of remote sensing image multi-spectral images [50], and the heat island effect was obtained from an algorithm that was applied to retrieve the land surface temperature (LST) distribution from the Landsat8 data [51]. (3) GIS buffer analysis data: Using the classification criteria of the evaluation factor, the different distances of the buffer were established for the pollution sources, significant infrastructure, road traffic, water area and other factors.…”

Section: The Classification Criteria For the Evaluation Factorsmentioning

confidence: 99%

Urban Green Space Suitability Evaluation Based on the AHP-CV Combined Weight Method: A Case Study of Fuping County, China

Fan

Shen

2018

Sustainability

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Urban green space (UGS) provides critical ecosystem services and alleviates environmental problems caused by rapid urbanization. The Analytic Hierarchy Process (AHP) method is recognized as a traditional technique to identify the weight of the UGS suitability evaluation. We reveal the limitations of the AHP method for its subjectivity and uncertainty. Then, we introduce the AHP and coefficient of variation (AHP-CV) combined weight method to better evaluate the suitability of UGS. Based on the principle of minimum information entropy, the AHP-CV combined weight method takes advantage of both the AHP and CV methods, thus keeping a good balance between subjectivity and objectivity. We used the green space system planning of Fuping County in China as a case study. A new evaluation index system was established using 4 aspects. Our results show that high-suitability areas are mainly distributed around the northern mountainous regions, 2 important rivers and the outer areas of the central city. By comparing the UGS suitability evaluation results obtained by the AHP, CV, and AHP-CV combined weight methods, we found that the AHP-CV method was optimal. Therefore, the AHP-CV combined weight method will not only enrich spatial Multi-Criteria Decision-Making techniques but also have a wide application in the related fields of land-use planning.

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Urban Heat Island Analysis Using the Landsat 8 Satellite Data: A Case Study in Skopje, Macedonia

Cited by 88 publications

References 13 publications

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

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

Outdoor thermal comfort research in urban areas of Central and Southeast Europe: A review

Urban Green Space Suitability Evaluation Based on the AHP-CV Combined Weight Method: A Case Study of Fuping County, China

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