Assessment of Urban Heat Island and Spatiotemporal Landscape Transformation In Three Cities Of Sindh, Pakistan
Main Article Content
Abstract
Urban Heat Island is considered one of the main causes of urbanization. It impacts the overall livability of a city. It is mainly due to the biophysical changes of the land surface due to urbanization. This study is based on three cities of Sindh namely: Hyderabad, Sukkur and Larkana. To study the UHI effects, a Land Surface Temperature algorithm is used. Land use land cover changes are identified by using Maximum likelihood classification. This study reveals that there is a major change in urban development in Hyderabad and Sukkur that is (82 to 97) Km2 and (18 to 25.7) Km2, respectively. While, in Larkana, minimal urban development is observed (33 to 34.6) Km2. Similarly, massive changes in vegetation are also observed in Sukkur and Larkana from 1990 to 2020 that are (90 to 161) Km2 and (82 to 331) Km2, respectively. Increase in vegetation is majorly due to the agricultural activities mainly occurring in different seasons. This study confirms that the LST has a strong negative correlation with NDVI because with increasing vegetation the LST is reduced. The findings also reveal that the major source of increased surface temperature is not only urban areas but the bare lands. The study finds that the skin temperature of the ground drops at least 3-5 degrees in the areas having a water body or any vegetation. This research highlights the importance of the inclusion of green strategies in better and effective urban planning to maintain a healthy urban environment.
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Mariam Khan, & Huzaifa Muhammad Mukhtiar. (2022). Assessment of Urban Heat Island and Spatiotemporal Landscape Transformation In Three Cities Of Sindh, Pakistan . Sindh University Research Journal - SURJ (Science Series), 54(1). https://doi.org/10.26692/surj.v54i1.4494
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
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[23] X. Huang and Y. Wang, “ISPRS Journal of Photogrammetry and Remote Sensing Investigating the effects of 3D urban morphology on the surface urban heat island effect in urban functional zones by using high-resolution remote sensing data : A case study of Wuhan , Central China,” ISPRS J. Photogramm. Remote Sens., vol. 152, no. April, pp. 119–131, 2019, doi: 10.1016/j.isprsjprs.2019.04.010.
[24] S. Jain, S. Sannigrahi, S. Sen, and S. Bhatt, “Urban heat island intensity and its mitigation strategies in the fast- growing urban area,” J. Urban Manag., vol. 9, no. 1, pp. 54–66, 2019, doi: 10.1016/j.jum.2019.09.004.
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[28] D. X. Tran, F. Pla, P. Latorre-Carmona, S. W. Myint, M. Caetano, and H. V. Kieu, “Characterizing the relationship between land use land cover change and land surface temperature,” ISPRS J. Photogramm. Remote Sens., vol. 124, pp. 119–132, Feb. 2017, doi: 10.1016/j.isprsjprs.2017.01.001.
[29] S. Chakraborti, A. Banerjee, S. Sannigrahi, S. Pramanik, A. Maiti, and S. Jha, “Assessing the dynamic relationship among land use pattern and land surface temperature: A spatial regression approach,” Asian Geogr., vol. 36, no. 2, pp. 93–116, 2019, doi: 10.1080/10225706.2019.1623054.
[30] T. Adulkongkaew, T. Satapanajaru, S. Charoenhirunyingyos, and W. Singhirunnusorn, “Effect of land cover composition and building configuration on land surface temperature in an urban-sprawl city, case study in Bangkok Metropolitan Area, Thailand,” Heliyon, vol. 6, no. 8, p. e04485, 2020, doi: 10.1016/j.heliyon.2020.e04485.
[31] X. Yang et al., “Contribution of urbanization to the increase of extreme heat events in an urban agglomeration in east China,” Geophys. Res. Lett., vol. 44, no. 13, pp. 6940–6950, Jul. 2017, doi: 10.1002/2017GL074084.
[32] M. B. Peerzado, H. Magsi, and M. J. Sheikh, “Urbanization and causes of agricultural land conversion in Hyderabad, Sindh, Pakistan,” Int. J. Dev. Sustain., vol. 7, no. 2, pp. 755–763, 2018, doi: 10.17485/ijst/2018/v11i5/119053.
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[34] A. Jawed, M. A. H. Talpur, I. A. Chandio, and P. N. Mahesar, “Impacts of In-Accessible and Poor Public Transportation System on Urban Enviroment: Evidence from Hyderabad, Pakistan,” Eng. Technol. Appl. Sci. Res., vol. 9, no. 2, pp. 3896–3899, 2019, doi: 10.48084/etasr.2482.
[35] N. P. Abbasi, A. Shahani, S. A. Ghanghro, G. P. Abbasi, and A. M. Soomro, “Evaluating And Detecting The Area Of Date Palm Canopies Using Quickbird Data In Assessing The Ndvi And Cataloging The land cover monitoring in sukkur, khairpur districts of sindh.,” Pakistan Geogr. Rev., vol. 74, no. 2, pp. 90–103, 2019.
[36] S. Sultana and A. N. V. Satyanarayana, “Urban heat island intensity during winter over metropolitan cities of India using remote-sensing techniques: impact of urbanization,” Int. J. Remote Sens., vol. 39, no. 20, pp. 6692–6730, 2018,
[37] M. Imran, A. Stein, and R. Zurita-milla, “International Journal of Geographical Using geographically weighted regression kriging for crop yield mapping in West Africa,” Int. J. Geogr. Inf. Sci., vol. 29.2, pp. 234–257, 2015, doi: 10.1080/13658816.2014.959522.
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