IDEAS home Printed from https://ideas.repec.org/a/gam/jworld/v5y2024i4p52-1053d1509458.html
   My bibliography  Save this article

Urban Heat Island and Environmental Degradation Analysis Utilizing a Remote Sensing Technique in Rapidly Urbanizing South Asian Cities

Author

Listed:
  • Md Tanvir Miah

    (Urban and Rural Planning Discipline, Khulna University, Khulna 9208, Bangladesh)

  • Jannatun Nahar Fariha

    (Urban and Rural Planning Discipline, Khulna University, Khulna 9208, Bangladesh)

  • Pankaj Kanti Jodder

    (Department of Earth, Environmental and Geographical Sciences, University of North Carolina at Charlotte, Charlotte, NC 28213, USA)

  • Abdulla Al Kafy

    (Department of Geography & the Environment, The University of Texas at Austin, Austin, TX 78712, USA)

  • Raiyan Raiyan

    (Urban and Rural Planning Discipline, Khulna University, Khulna 9208, Bangladesh)

  • Salima Ahamed Usha

    (Urban and Rural Planning Discipline, Khulna University, Khulna 9208, Bangladesh)

  • Juvair Hossan

    (Environmental Science Discipline, Khulna University, Khulna 9208, Bangladesh)

  • Khan Rubayet Rahaman

    (Department of Geography and Environmental Studies, St. Mary’s University, Halifax, NS B3H 3C3, Canada)

Abstract

Rapid urbanization in South Asian cities has triggered significant changes in land use and land cover (LULC), degrading natural biophysical components and intensifying urban heat islands (UHIs). This study investigated the impact of LULC changes on land surface temperature (LST) and the role of biophysical indicators in enhancing urban resilience to thermal extremes. We used Landsat satellite imageries from 1993 to 2023, conducted a comprehensive analysis of LULC changes, and estimated LST variations at 6-year intervals in the Dhaka, Gazipur, and Narayanganj districts in Bangladesh. Afterward, we performed statistical analysis upon employing correlation, regression, and principal component analysis (PCA) techniques to summarize information. The results reveal that 339.13 km 2 worth of urban expansion has occurred in last 30 years, with an average annual growth rate of 3.5%, accompanied by a substantial reduction in water bodies (−139.17 km 2 ) and vegetation cover. Consequently, summer temperatures exceeded approximately 36.52 °C in dense urban areas. Also, the results highlighted the strong influence of built-up areas (BSI and SAVI) on LST, while vegetation (NDVI) and water indices (NDWI) exhibited a negative association. The findings emphasize the urgency of integrating green infrastructure and deploying sustainable urban planning policies to mitigate the potential adverse impacts of scattered urbanization in the face of climate change.

Suggested Citation

  • Md Tanvir Miah & Jannatun Nahar Fariha & Pankaj Kanti Jodder & Abdulla Al Kafy & Raiyan Raiyan & Salima Ahamed Usha & Juvair Hossan & Khan Rubayet Rahaman, 2024. "Urban Heat Island and Environmental Degradation Analysis Utilizing a Remote Sensing Technique in Rapidly Urbanizing South Asian Cities," World, MDPI, vol. 5(4), pages 1-31, October.
  • Handle: RePEc:gam:jworld:v:5:y:2024:i:4:p:52-1053:d:1509458
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2673-4060/5/4/52/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2673-4060/5/4/52/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abdullah Addas, 2023. "Understanding the Relationship between Urban Biophysical Composition and Land Surface Temperature in a Hot Desert Megacity (Saudi Arabia)," IJERPH, MDPI, vol. 20(6), pages 1-16, March.
    2. de Mast, Jeroen, 2007. "Agreement and Kappa-Type Indices," The American Statistician, American Statistical Association, vol. 61, pages 148-153, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Matthijs Warrens, 2010. "A Formal Proof of a Paradox Associated with Cohen’s Kappa," Journal of Classification, Springer;The Classification Society, vol. 27(3), pages 322-332, November.
    2. Joris Knoben & Leon A. G. Oerlemans & Annefleur R. Krijkamp & Keith G. Provan, 2018. "What Do They Know? The Antecedents of Information Accuracy Differentials in Interorganizational Networks," Organization Science, INFORMS, vol. 29(3), pages 471-488, June.
    3. Ricardo Saldanha Morais & Roberto da Costa Quinino & Emilio Suyama & Linda Lee Ho, 2019. "Estimators of parameters of a mixture of three multinomial distributions based on simple majority results," Statistical Papers, Springer, vol. 60(4), pages 1283-1316, August.
    4. Simon Lysdahlgaard & Sandi Baressi Šegota & Søren Hess & Ronald Antulov & Martin Weber Kusk & Zlatan Car, 2023. "Quality Assessment Assistance of Lateral Knee X-rays: A Hybrid Convolutional Neural Network Approach," Mathematics, MDPI, vol. 11(10), pages 1-21, May.
    5. Matthijs Warrens, 2010. "Inequalities Between Kappa and Kappa-Like Statistics for k×k Tables," Psychometrika, Springer;The Psychometric Society, vol. 75(1), pages 176-185, March.
    6. Matthijs J. Warrens, 2014. "Power Weighted Versions of Bennett, Alpert, and Goldstein’s," Journal of Mathematics, Hindawi, vol. 2014, pages 1-9, December.
    7. Matthijs Warrens, 2010. "Inequalities between multi-rater kappas," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 4(4), pages 271-286, December.
    8. Amalia Vanacore & Maria Sole Pellegrino, 2019. "Checking quality of sensory data via an agreement-based approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2545-2556, September.
    9. Amalia Vanacore & Maria Sole Pellegrino, 2019. "How Reliable are Students’ Evaluations of Teaching (SETs)? A Study to Test Student’s Reproducibility and Repeatability," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 77-89, November.
    10. Guangchao Feng, 2013. "Factors affecting intercoder reliability: a Monte Carlo experiment," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(5), pages 2959-2982, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jworld:v:5:y:2024:i:4:p:52-1053:d:1509458. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.