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Assessing land transformation and its relation with land surface temperature in Mumbai city, India using geospatial techniques

Author

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  • Mehebub Sahana
  • Shyamal Dutta
  • Haroon Sajjad

Abstract

Land transformation as a result of unprecedented urbanization has introduced changes in local climate and surface energy budget. Land surface temperature (LST) is an important factor influencing local climate and ecology. Mumbai being second largest populated city is experiencing significant changes in land use/land cover (LULC) and surface energy fluxes. Hence, the main objective of the study is to assess the spatial variation in land surface temperature due to land use/land cover change. Several indices like; Normalized difference vegetation index (NDVI), normalized difference moisture index (NDMI), modified normalized difference water index (MNDWI) and normalized difference built up index (NDBI) were derived to validate the spatial variability of LST in different land use/land cover classes. The study utilized Landsat5/TM and Landsat8/TIRS data for assessing land transformation and its relation with LST in Mumbai city. January, June and October months of three time series 1990, 2000 and 2015 were chosen as representative of three seasons to analyze variation in LST. Pixel to pixel overlay analysis for different indices and LST was carried out to examine the relation of LST with different indices. The study revealed the maximum change in LST was recorded during the month of June over the study period. Land transformation from vegetation and agricultural land to urban built up has been found to be the main cause of increased LST in the study area. The finding of the study may help in promulgating sustainable urban land use policies and avoiding the effect of urban heat island.

Suggested Citation

  • Mehebub Sahana & Shyamal Dutta & Haroon Sajjad, 2019. "Assessing land transformation and its relation with land surface temperature in Mumbai city, India using geospatial techniques," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 23(2), pages 205-225, April.
    • Handle: RePEc:taf:rjusxx:v:23:y:2019:i:2:p:205-225
    DOI: 10.1080/12265934.2018.1488604
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    Citations

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    Cited by:

    1. Rao, Yingxue & Dai, Jingyi & Dai, Deyi & He, Qingsong, 2021. "Effect of urban growth pattern on land surface temperature in China: A multi-scale landscape analysis of 338 cities," Land Use Policy, Elsevier, vol. 103(C).
    2. Yuanzheng Li & Zezhi Zhao & Yashu Xin & Ao Xu & Shuyan Xie & Yi Yan & Lan Wang, 2022. "How Are Land-Use/Land-Cover Indices and Daytime and Nighttime Land Surface Temperatures Related in Eleven Urban Centres in Different Global Climatic Zones?," Land, MDPI, vol. 11(8), pages 1-22, August.
    3. Pennan Chinnasamy & Aashni Parikh, 2021. "Remote sensing-based assessment of Coastal Regulation Zones in India: a case study of Mumbai, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7931-7950, May.
    4. S. M. Talha Qadri & Ateeb Hamdan & Veena Raj & Muhsan Ehsan & Norazanita Shamsuddin & Mohammed Hail Hakimi & Khairul Azlan Mustapha, 2023. "Assessment of Land Surface Temperature from the Indian Cities of Ranchi and Dhanbad during COVID-19 Lockdown: Implications on the Urban Climatology," Sustainability, MDPI, vol. 15(17), pages 1-23, August.

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