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Responses of Urban Land Surface Temperature on Land Cover: A Comparative Study of Vienna and Madrid

Author

Listed:
  • Han Xiao

    (Remote Sensing and Digital Earth Institute, Chinese Academy of Sciences, Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Monika Kopecká

    (Institute of Geography, Slovak Academy of Sciences, Bratislava 814 73, Slovakia)

  • Shan Guo

    (Remote Sensing and Digital Earth Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Yanning Guan

    (Remote Sensing and Digital Earth Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Danlu Cai

    (Remote Sensing and Digital Earth Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Chunyan Zhang

    (Remote Sensing and Digital Earth Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Xiaoxin Zhang

    (Remote Sensing and Digital Earth Institute, Chinese Academy of Sciences, Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Wutao Yao

    (Remote Sensing and Digital Earth Institute, Chinese Academy of Sciences, Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

The relationship between the land cover (LC) characteristics and the land surface temperature (LST) is significant for surface urban heat island (SUHI) study and for sustainability research. To better understand how the land surface temperature (LST) responds to LC, two urban areas, Vienna and Madrid, with different climatic conditions are selected and compared, using Landsat-8 OLI data and urban atlas data. To determine a suitable scale for analyzing the relationship between LC and LST, a correlation analysis at different sizes of spatial analytical scales is applied. To demonstrate the LC composition effects on LST, a regression analysis of the whole study area and in the specific circumstance is undertaken. The results show that: (1) In the summer, Vienna presents high temperature in the urban areas and low temperature in the surrounding rural areas, while Madrid displays the opposite appearance, being relatively cooler in the urban areas as compared to the rural areas, with the main different factors affecting elevated urban LST; (2) Suitable analytical scales are suggested in studying the LC–LST relationship between different LC characteristics in the two study areas; (3) Negative effects on the LST appear when the area of cooling sources, such as water or urban greenery, reaches 10% at a 990 × 990 m 2 scale in Vienna. Built-up area is the main factor affecting elevated urban LST where such areas cover the majority at a 990 × 990 m 2 scale in Madrid. These findings provide a valuable view regarding how to balance the urban surface thermal environment through urban planning.

Suggested Citation

  • Han Xiao & Monika Kopecká & Shan Guo & Yanning Guan & Danlu Cai & Chunyan Zhang & Xiaoxin Zhang & Wutao Yao, 2018. "Responses of Urban Land Surface Temperature on Land Cover: A Comparative Study of Vienna and Madrid," Sustainability, MDPI, vol. 10(2), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:2:p:260-:d:128201
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    References listed on IDEAS

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    2. Mo Aqdas & Tariq Mahmood Usmani & Ramzi Benhizia & György Szabó, 2025. "Urban Expansion and Thermal Stress: A Remote Sensing Analysis of LULC and Urban Heat Islands in Ghaziabad, India," Land, MDPI, vol. 14(9), pages 1-27, September.
    3. Shahfahad & Swapan Talukdar & Mohd. Rihan & Hoang Thi Hang & Sunil Bhaskaran & Atiqur Rahman, 2022. "Modelling urban heat island (UHI) and thermal field variation and their relationship with land use indices over Delhi and Mumbai metro cities," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3762-3790, March.
    4. Hyun-Ju Cho & Jin-Hyo Kim & Eun-Jae Lee, 2023. "A Study on the Advancement of Spatial Maps and the Improvement of the Legal System as a Key Tool for Sustainable National Landscape Planning: Case Study of South Korea," Land, MDPI, vol. 12(5), pages 1-20, May.
    5. Ilaria Pigliautile & Guido Marseglia & Anna Laura Pisello, 2020. "Investigation of CO 2 Variation and Mapping Through Wearable Sensing Techniques for Measuring Pedestrians’ Exposure in Urban Areas," Sustainability, MDPI, vol. 12(9), pages 1-14, May.
    6. Martin Šalkovič & Eva Pauditšová, 2023. "Use of Satellite Images to Determine the Temperature of Urban Surfaces for Landscape Management Purposes, Case Study Bratislava (Slovak Republic)," Land, MDPI, vol. 12(2), pages 1-18, January.
    7. Siddique Ullah & Adnan Ahmad Tahir & Tahir Ali Akbar & Quazi K. Hassan & Ashraf Dewan & Asim Jahangir Khan & Mudassir Khan, 2019. "Remote Sensing-Based Quantification of the Relationships between Land Use Land Cover Changes and Surface Temperature over the Lower Himalayan Region," Sustainability, MDPI, vol. 11(19), pages 1-16, October.

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