Simulating land cover changes and their impacts on land surface temperature in Dhaka, Bangladesh

Bayes Ahmed, Md. Kamruzzaman, Xuan Zhu, Md. Shahinoor Rahman, Keechoo Choi

    Research output: Contribution to journalArticleResearchpeer-review

    63 Citations (Scopus)

    Abstract

    Despite research that has been conducted elsewhere, little is known, to-date, about land cover dynamics and their impacts on land surface temperature (LST) in fast growing mega cities of developing countries. Landsat satellite images of 1989, 1999, and 2009 of Dhaka Metropolitan (DMP) area were used for analysis. This study first identified patterns of land cover changes between the periods and investigated their impacts on LST; second, applied artificial neural network to simulate land cover changes for 2019 and 2029; and finally, estimated their impacts on LST in respective periods. Simulation results show that if the current trend continues, 56 and 87 of the DMP area will likely to experience temperatures in the range of greater than or equal to 30C in 2019 and 2029, respectively. The findings possess a major challenge for urban planners working in similar contexts. However, the technique presented in this paper would help them to quantify the impacts of different scenarios (e.g., vegetation loss to accommodate urban growth) on LST and consequently to devise appropriate policy measures.
    Original languageEnglish
    Pages (from-to)5969 - 5998
    Number of pages30
    JournalRemote Sensing
    Volume5
    Issue number11
    DOIs
    Publication statusPublished - 2013

    Cite this

    Ahmed, Bayes ; Kamruzzaman, Md. ; Zhu, Xuan ; Rahman, Md. Shahinoor ; Choi, Keechoo. / Simulating land cover changes and their impacts on land surface temperature in Dhaka, Bangladesh. In: Remote Sensing. 2013 ; Vol. 5, No. 11. pp. 5969 - 5998.
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    Simulating land cover changes and their impacts on land surface temperature in Dhaka, Bangladesh. / Ahmed, Bayes; Kamruzzaman, Md.; Zhu, Xuan; Rahman, Md. Shahinoor; Choi, Keechoo.

    In: Remote Sensing, Vol. 5, No. 11, 2013, p. 5969 - 5998.

    Research output: Contribution to journalArticleResearchpeer-review

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    AU - Ahmed, Bayes

    AU - Kamruzzaman, Md.

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    AU - Choi, Keechoo

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    AB - Despite research that has been conducted elsewhere, little is known, to-date, about land cover dynamics and their impacts on land surface temperature (LST) in fast growing mega cities of developing countries. Landsat satellite images of 1989, 1999, and 2009 of Dhaka Metropolitan (DMP) area were used for analysis. This study first identified patterns of land cover changes between the periods and investigated their impacts on LST; second, applied artificial neural network to simulate land cover changes for 2019 and 2029; and finally, estimated their impacts on LST in respective periods. Simulation results show that if the current trend continues, 56 and 87 of the DMP area will likely to experience temperatures in the range of greater than or equal to 30C in 2019 and 2029, respectively. The findings possess a major challenge for urban planners working in similar contexts. However, the technique presented in this paper would help them to quantify the impacts of different scenarios (e.g., vegetation loss to accommodate urban growth) on LST and consequently to devise appropriate policy measures.

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