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Analysis of Land Surface Temperature Dynamics in Islamabad by Using MODIS Remote Sensing Data

Author

Listed:
  • Noor ul Ain Binte Wasif Ali

    (Department of Environmental Science, International Islamic University, Islamabad 44000, Pakistan)

  • Sarah Amir

    (Department of Environmental Science, International Islamic University, Islamabad 44000, Pakistan)

  • Kanwar Muhammad Javed Iqbal

    (National Institute of Maritime Affairs (NIMA), Bahria University, Islamabad 44000, Pakistan)

  • Ashfaq Ahmad Shah

    (Research Center for Environment and Society, Hohai University, Nanjing 210098, China
    School of Public Administration, Hohai University, 8 Fochengxi Road, Jiangning District, Nanjing 210098, China)

  • Zafeer Saqib

    (Department of Environmental Science, International Islamic University, Islamabad 44000, Pakistan)

  • Nadia Akhtar

    (Department of Environmental Science, International Islamic University, Islamabad 44000, Pakistan)

  • Wahid Ullah

    (Department of Sociology, University of Chakwal, Chakwal 48800, Pakistan)

  • Muhammad Atiq Ur Rehman Tariq

    (College of Engineering and Science, Victoria University, Melbourne, VIC 8001, Australia
    College of Engineering, IT & Environment, Charles Darwin University, Darwin, NT 0810, Australia)

Abstract

The rapid pace of unattended urbanization has caused the urban heat island phenomenon, due to which the United Nations SDGs agenda 2030 calls for immediate actions for “sustainable cities and communities”. In this context, the case of the emerging metropolitan city Islamabad has been studied based on its developmental discourse vis-à-vis associated environmental problems. A time-series trend for the land surface temperature was generated by investigating the change in minimum and maximum variability against a dataset of 1960–2012 which was obtained from the Pakistan Meteorological Department, along with MODIS LST images from January 2000 to December 2015. The statistical comparison of an eight-day composite of the maximum (Tmax) and minimum (Tmin) temperature reveals an increasing trend with R 2 values of 0.2507 (Tmin) and 0.1868 (Tmax). The box plots for both the Tmin and Tmax depict changes in seasonal patterns for Islamabad, with summers becoming longer and winters becoming harsher. Moreover, the application of the Mann–Kendall test affirmed the slope of the R 2 linear trend map and showed the temperature regression in the Margalla Hills National Park and in such urban zones which had an expanded vegetative cover. These findings will act as a guide for urban planners and future researchers to maintain a standardized urban heat island and promote the concept of sustainable cities in the future course of action.

Suggested Citation

  • Noor ul Ain Binte Wasif Ali & Sarah Amir & Kanwar Muhammad Javed Iqbal & Ashfaq Ahmad Shah & Zafeer Saqib & Nadia Akhtar & Wahid Ullah & Muhammad Atiq Ur Rehman Tariq, 2022. "Analysis of Land Surface Temperature Dynamics in Islamabad by Using MODIS Remote Sensing Data," Sustainability, MDPI, vol. 14(16), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:9894-:d:884992
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    References listed on IDEAS

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    1. Arshad, Salman & Ahmad, Sajid Rashid & Abbas, Sawaid & Asharf, Ather & Siddiqui, Nadia Asad & Islam, Zia ul, 2022. "Quantifying the contribution of diminishing green spaces and urban sprawl to urban heat island effect in a rapidly urbanizing metropolitan city of Pakistan," Land Use Policy, Elsevier, vol. 113(C).
    2. Muhammad Sadiq Khan & Sami Ullah & Tao Sun & Arif UR Rehman & Liding Chen, 2020. "Land-Use/Land-Cover Changes and Its Contribution to Urban Heat Island: A Case Study of Islamabad, Pakistan," Sustainability, MDPI, vol. 12(9), pages 1-17, May.
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