Skip to main content

Assessment of Land Surface Temperature Using Landsat Images: A Case Study on Durgapur Municipal Corporation, West Bengal, India

  • Chapter
  • First Online:
Urban Environment and Smart Cities in Asian Countries

Abstract

Durgapur Municipal Corporation is the considerable urban agglomeration centre of West Bengal in India. Rapid urbanization of the Durgapur city has an impact on urban landscape and accelerates the high rise of surface temperature throughout the years. This study attempts to evaluates the trend of surface temperature of DMC over the periods by scrutinize the changing scenario of vegetation cover and built up areas with the help of NDVI, NDBI and other indices. LANDSAT 4–5 TM & LANDSAT 8 OLI/TIRS data have been used in this study to calculate the relevant indices. Maps and diagrams are made by using GIS Software and excel software. By analyzing all relevant data, maps and diagrams, it is clearly observed that due to dynamic urbanization, growing industrialization and cutting of trees rigorously the amount of dense vegetation cover has decreased almost 2.34 percentages of its total area. And the built up area has been increased by 1.37 percentages in the core industrial region, but in peripheral zone the increasing trend is not so high. As a result, the industrial area being a heat absorber has a maximum surface temperature of 33 °C and comparatively the fringe area has a range of 18–21 °C surface temperature. Hence, mean temperature has been increased almost 4 °C within the study period. Considering all the major environmental problems, a sustainably planned urbanization process, remotely sensed data analysis and GIS based monitoring should change the devastated face of the city and will control excessive land surface temperature of the city.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  • Alfraihat, R., Mulugeta, G., & Gala, T. S. (2016). Ecological evaluation of Urban Heat Island in Chicago City, USA. Journal of Atmospheric Pollution, 4(1), 23–29. https://doi.org/10.12691/jap-4-1-3

    Article  Google Scholar 

  • Amirtham, L. (2016). Urbanization and its impact on urban heat island intensity in Chennai Metropolitan Area, India. IndianJournal of Science and Technology, 9 (5). https://doi.org/10.17485/ijst/2016/v9i5/87201.

  • Bharath, H. A., Chandan, M. C., Vinay, S., & Ramachandra, T. V. (2018). Modelling urban dynamics in rapidly urbanising Indian cities. Egyptian Journal of Remote Sensing and Space Science, 21(3), 201–210. https://doi.org/10.1016/j.ejrs.2017.08.002

    Article  Google Scholar 

  • Borbora, J., & Das, A. K. (2014). Summertime urban heat Island study for Guwahati City, India. Sustainable Cities and Society, 11, 61–66. https://doi.org/10.1016/j.scs.2013.12.001

    Article  Google Scholar 

  • Chatterjee, U., & Majumdar, S. (2022). Impact of land use change and rapid urbanization on urban heat island in Kolkata city: A remote sensing based perspective. Journal of Urban Management, 11, 59–71. https://doi.org/10.1016/j.jum.2021.09.002

    Article  Google Scholar 

  • Choudhury, D., Das, K., & Das, A. (2019). Assessment of land use land cover changes and its impact on variations of land surface temperature in Asansol-Durgapur Development Region. The Egyptian Journal of Remote Sensing and Space Sciences, 22, 203–218. https://doi.org/10.1016/j.ejrs.2018.05.004.

  • Cui, L., & Shi, J. (2012). Urbanization and its environmental effects in Shanghai, China. Urban Climate. https://doi.org/10.1016/j.uclim.2012.10.008.

  • Das, N., Mondal, P., Sutradhar, S., & Ghosh, R. (2020). Assessment of variation of land use/land cover and its impact on land surface temperature of Asansol subdivision. The Egyptian Journal of Remote Sensing and Space Sciences, 1–19.https://doi.org/10.1016/j.ejrs.2020.05.001.

  • Das, T., Jana, A., Mandal, B., & Sutradhar, A. (2021). Spatio-temporal pattern of land use and land cover and its effects on land surface temperature using remote sensing and GIS techniques: a case study of Bhubaneswar city, Eastern India (1991–2021). GeoJournal. https://doi.org/10.1007/s10708-021-10541-z.

  • Dutta, D., Gupta, S., & Kishtawal, C. M. (2018). Linking LULC change with urban heat islands over 25 years: a case study of the urban-industrial city Durgapur, Eastern India. Journal of Spatial Science, 1–18.https://doi.org/10.1016/j.ejrs.2018.05.004.

  • District Census Handbook: Barddhaman. (2001&2011). West Bengal. India, https://censusindia.gov.in.

  • District Statistical Handbook: Burdwan. (2014). West Bengal. India, http://wbpspm.gov.in.

  • Govind, N., & Ramesh, H. (2013). The impact of spatiotemporal patterns of land use land cover and land surface temperature on an urban cool island: a case studyof Bengaluru. Environ Monit Assess, 191. https://doi.org/10.1007/s10661-019-7440-1.

  • Grimmond, S. (2007). Urbanization and global environmental change: Local effects of urban warming. Geographical Journal, 173, 83–88.

    Article  Google Scholar 

  • Jawaharlal Nehru National Urban Renewal Mission (JNNURM). (2011). Audit Report on Urban Infrastructure and Governance. Delhi. India. https://mohua.gov.in.

  • Kaimaris, D., & Patias, P. (2016). Identification and area measurement of the built-up area with the built-up index. International Journal of Advanced Remote Sensing and GIS, 5(6), 1844–1858.

    Article  Google Scholar 

  • Lan, Y., & Zhan, Q. (2017). How do urban buildings impact summer air temperature? The effects of building configurations in space and time. Building and Environment, 125, 88–98. https://doi.org/10.1016/j.buildenv.2017.08.046.

  • Latif, M. (2014). Land surface temperature retrieval from LANDSAT 8 data using split window algorithm: A case study of Ranchi District. International Journal of Engineering Development and Research, 2(4), 3840–3849.

    Google Scholar 

  • Mandal, J., Ghosh, N., & Mukhopadhyay, A. (2019). Urban growth dynamics and changing land-use land-cover of megacity Kolkata and Its Environs. Journal of the Indian Society of Remote Sensing, 47, 1707–1725.

    Article  Google Scholar 

  • Moda, H. M., Filho, W. L., & Minhas, A. (2019). Impacts of climate change on outdoor workers and their safety: Some research priorities. International Journal of Environmental Research and Public Health, 16(18), 3458. https://doi.org/10.3390/ijerph16183458

    Article  Google Scholar 

  • Mohajerani, A., Bakaric, J., & Jeffrey-Bailey, T. (2017). The urban heat island effect, its causes, and mitigation, with reference to the thermal properties of asphalt concrete. Journal of Environmental Management, 197, 522–538. https://doi.org/10.1016/j.jenvman.2017.03.095

    Article  Google Scholar 

  • NASA POWER Data Archive for Climate: 1990–2020. https://data.nasa.gov.

  • Odindi, J. O., Bangamwabo, V., & Mutanga, O. (2015). Assessing the value of urban green spaces in mitigating multi-seasonal urban heat using MODIS land surface temperature (LST) and Landsat 8 data. International Journal Environment Researcher, 9(1), 9–18.

    Google Scholar 

  • Pal, S. (2015). A study of rapid development of Durgapur rural area into a modern steel city. The Journal of Social Science Researcher, 4(7), 25–38.

    Google Scholar 

  • Pal, S., & Ziaul, S. (2017). Detection of land use and land cover change and land surface temperature in English Bazar urban centre. The Egyptian Journal of Remote Sensing and Space Sciences, 20 (1), 125–145. https://doi.org/10.1016/j.ejrs.2016.11.003.

  • Sarrat, C., Lemonsu, A., Masson, V., & Guedali, D. (2006).Impact of urban heat island on regional atmospheric pollution. Atmospheric Environment, 40 (10), 1743–1758. https://doi.org/10.1016/j.atmosenv.2005.11.037.

  • Seto, K. C., Fragkias, M., Guneralp, B., & Reilly, M. K. (2011). A meta-analysis of global urban land expansion. PLoS ONE. https://doi.org/10.1371/journal.pone.0023777

    Article  Google Scholar 

  • Sharma, S., Nahid, S., Sharma, M., Sannigrahi, S., Anees, M. M., & Sharma, R. (2020). A long-term and comprehensive assessment of urbanization-induced impacts on ecosystem services in the capital city of India. City and Environment Interactions, 7(2), 100047.https://doi.org/10.1016/j.cacint.2020.100047.

  • State Urban Development Agency (W.B.)–Durgapur Municipal Corporation 2019–2020. West Bengal. India, https://www.wburbanservices.gov.in.

  • Taubenbock, H., Wegmann, M., Roth, A., Mehl, H., & Dech, S. (2009). Urbanization in India—Spatiotemporal analysis using remote sensing data. Computers, Environment and Urban Systems, 33(3), 179–188. https://doi.org/10.1016/j.compenvurbsys.2008.09.003

    Article  Google Scholar 

  • Turner, B., Meyer, W. B., & Skole, D. L. (1994). Global land-use/land-cover change: Towards an integrated study. AMBIO Stockholm, 23, 91–95.

    Google Scholar 

  • United Nation. (2018). World urbanization prospects: The 2018 revision. United Nations.

    Book  Google Scholar 

  • United Nation. (2019). World population prospects 2019 highlights. United Nations.

    Book  Google Scholar 

  • Van, T. T., & Bao, H. D. (2010). Study of the impact of urban development on surface temperature using remote sensing in Ho Chi Minh City, Northern Vietnam. Geographical Research, 48, 86–96. https://doi.org/10.1111/j.1745-5871.2009.00607.x.

  • West Bengal Forest Department–Burdwan District (Range Durgapur & Ukhra, 2015). West Bengal. India, http://www.westbengalforest.gov.in.

  • Zha, Y., Gao, J., & Ni, S. (2003). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing, 24, 583–594. https://doi.org/10.1080/01431160304987.

  • Zhang, X., Estoque, R. C., & Murayama, Y. (2017). An urban heat island study in Nanchang City, China based on land surface temperature and social-ecological variables. Sustainable Cities and Society, 32, 557–568. https://doi.org/10.3390/ijgi6070189

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Subham Kumar Roy .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Tah, S., Roy, S.K., Mondal, C. (2023). Assessment of Land Surface Temperature Using Landsat Images: A Case Study on Durgapur Municipal Corporation, West Bengal, India. In: Chatterjee, U., Antipova, A., Ghosh, S., Majumdar, S., Setiawati, M.D. (eds) Urban Environment and Smart Cities in Asian Countries. Human Dynamics in Smart Cities. Springer, Cham. https://doi.org/10.1007/978-3-031-25914-2_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-25914-2_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-25913-5

  • Online ISBN: 978-3-031-25914-2

  • eBook Packages: Social SciencesSocial Sciences (R0)

Publish with us

Policies and ethics