Abstract
Rapid urbanization along with multiplicity of economic activities is degrading the quality of urban environment globally. The slowly rising temperature of urban environment also brings about a complex microclimatic condition with far reaching implications to urban dwellers. The role of urban greenery towards regulation and management of urban microclimate is considered highly significant. Therefore, this chapter makes an attempt to assess the effect of urban growth and declining urban green space on land surface temperature (LST) and associated microclimatic conditions in Siliguri city of West Bengal. The formation of urban heat island conditions in the city is studied using the Landsat data for (1990–2020). The spatial distribution of LST across the city area is analysed to understand its local effects on urban heat island (UHI) development. The nature and extent of relationship among LST, the built-up index (BI) and the normalized difference vegetation index (NDVI) is examined to explore the influence of the growth of built-up land and urban green space loss on urban micro-climate. The results reveal that the densely built-up core areas display higher temperature than the other part of the city and the areas covered by vegetation and water bodies’ exhibit lower temperature. Thus, the study shows that urban green space can help mitigate the condition of rising surface temperature and associated urban micro-climate, which would be important for sustainable urban development as well as for maintenance of healthy urban life.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Agnihotri, A. K., Ohri, A., & Mishra, S. (2018). Impact of green spaces on the microclimate through landsat 8 and TIRS data, in Varanasi, India. International Journal of Environment and Sustainability (IJES), 7(2), 72–80.
Artis, D. A., & Carnahan, W. H. (1982). Survey of emissivity variability in thermography of urban areas. Remote Sensing of Environment, 12(4), 313–329.
Census of India. (2011). District census handbook, Darjeeling and Jalpaiguri District, West Bengal.
Chen, J., Gong, P., He, C., Pu, R., & Shi, P. (2003). Land use/land cover change detection using improved change vector analysis. Photogrammetric Engineering & Remote Sensing, 69(4), 369–379.
Chetia, S., Saikia, A., Basumatary, M., & Sahariah, D. (2020). When the heat is on: Urbanisation and land surface temperature in Guwahati, India. Acta Geophysica. https://doi.org/10.1007/s11600-020-00422-3
Ghosh, S., & Siddique, G. (2018). Change detection of built-up areas applying built-up index for Chandannagar city. International Journal of Technology Research and Management, 5(4), 1–7.
Grover, A., & Singh, R. B. (2015). Analysis of urban heat island (UHI) in relation to normalized difference vegetation index (NDVI): A comparative study of Delhi and Mumbai. Environments, 2, 125–138.
Hoque, I., & Lepcha, K. (2019). A geospatial analysis of land use dynamics and its impact on land surface temperature in Siliguri-Jalpaiguri development region, West Bengal. Applied Geomatics. https://doi.org/10.1007/s12518-019-00288-1
Jiang, Y., Fu, P., & Weng, Q. (2015). Assessing the impacts of urbanisation associated land use/land cover change on land surface temperature and surface moisture: A case study in the Midwestern United States. Remote Sensing, 7(4), 4880–4898.
Jusuf, S. K., Wong, N. H., Hagen, E., Anggoro, R., & Hong, Y. (2007). The influence of land use on the urban heat islands in Singapore. Habitat International, 31, 232–242.
Kant, Y., Bharath, B. D., Mallick, J., Atzberger, C., & Kerle, N. (2009). Satellite-based analysis of the role of land use/land cover and vegetation density of surface temperature regime of Delhi, India. Journal of the Indian Society of Remote Sensing, 37, 201–214.
Kim, H. H. (1992). Urban heat island. International Journal of Remote Sensing, 13(12), 2319–2336.
Kuang, W., Chi, W., Lu, D., & Dou, Y. A. (2014). A comparative analysis of megacity expansions in China and the U.S.: pattern, rates and driving forces. Landscape of Urban Planning, 132, 121–135.
Landsat Project Science Office. (2002). Landsat 7 science data user’s handbook. Washington, DC: Goddard Space Flight Centre, NASA. https://landsat.gsfc.nasa.gov/article/landsat-7-science-data-users-handbook/.
Le-Xiang, Q., Hai-Shan, C., & Jie, C. (2006). Impacts of land use and land cover change on land surface temperature in the Zhujiang Delta. Pedosphere, 16, 681–689.
Li, J., Song, C., Cao, L., Zhu, F., Meng, X., & Wu, J. (2011). Impacts of landscape structure on surface urban heat islands: A case study of Shanghai, China. Remote Sensing of Environment, 115, 3249–3263.
Liu, L., & Zhang, Y. (2011). Urban heat island analysis using the Landsat TM data and ASTER data: A case study in Hong Kong. Remote Sensing, 3, 1535–1552.
Mallick, J., Kant, Y., & Bharath, B. D. (2008). Estimation of land surface temperature over Delhi using landsat-7 ETM. Journal of Indian Geophysical Union, 12, 131–140.
Nor, S., Buyadi, A., Naim, W. M., & Misni, A. (2013). Green spaces growth impact on the urban microclimate. Procedia-Social and Behavioral Sciences, 105, 547–557.
Owen, T. W., Carlson, T. N., & Gillies, R. R. (1998). An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization. International Journal of Remote Sensing, 19(9), 1663–1681.
Pal, S., & Ziaul, S. (2016). 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 National Authority for Remote Sensing and Space Sciences, 20(1), 125–145.
Sharma, R., & Joshi, P. K. (2013). Monitoring urban landscape dynamics over Delhi (India) using remote sensing (1998–2011) inputs. Journal of the Indian Society of Remote Sensing, 41, 641–650.
Snyder, W. C., Wan, Z., Zhang, Y., & Feng, Y. Z. (1998). Classification-based emissivity for land surface temperature measurement from space. International Journal of Remote Sensing, 19(14), 2753–2774.
Suhail, M., Khan, M. S., & Faridi, R. A. (2019). Assessment of urban heat islands effect and land surface temperature of Noida, India by using landsat satellite data. MAPAN-Journal of Metrology Society of India, 34(4), 431–441.
Townshend, J. R., & Justice, C. O. (1986). Analysis of the dynamics of African vegetation using the normalized difference vegetation index. International Journal of Remote Sensing, 7(11), 1435–1445. https://doi.org/10.1080/01431168608948946
Weng, Q., Lu, D., & Schubring, J. (2004). Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies. Remote Sensing of Environment, 89(4), 467–483.
Xiong, Y., Huang, S., Chen, F., Ye, H., Wang, C., & Zhu, C. (2012). The impacts of rapid urbanisation on the thermal environment: A remote sensing study of Gangzhou, South China. Remote Sensing, 4(7), 2033–2056.
Yuan, F., & Bauer, M. E. (2007). Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery. Remote Sensing Environment, 80(2), 233–240.
Zha, Y., Gao, J., & Ni, A. (2003a). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing, 24(3), 583–594. https://doi.org/10.1080/01431160304987
Zha, Y., Ni, S., & Yang, S. (2003b). An effective approach to automatically extract urban land use from TM imagery. Journal of Remote Sensing, 7, 37–40.
Zhang, J., & Wang, Y. (2008). Study of the relationships between the spatial extent of surface urban heat islands and urban characteristics factors based on landsat ETM+ data. Sensors, 8, 7453–7468.
Zhang, H., Qi, Z.-F., Ye, X.-Y., Cai, Y.-B., & Ma, W.-C. (2013). Analysis of land use/land cover change, population shift, and their effects on spatiotemporal patterns of urban heat islands in metropolitan Shanghai, China. Applied Geography, 44, 121–133.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
Conflict of Interest
Authors declare no conflict of interest.
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Sarkar, C., Kar, B.K. (2023). Assessing the Impact of Urban Growth and Green Space Dynamics on Microclimate in Urban Areas: A Case Study of Siliguri City, 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_3
Download citation
DOI: https://doi.org/10.1007/978-3-031-25914-2_3
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)