Skip to main content

Impact of Urbanisation on Land Surface Temperature in Nagpur, Maharashtra

  • Chapter
  • First Online:
Book cover Sustainable Smart Cities in India

Part of the book series: The Urban Book Series ((UBS))

Abstract

India has experienced a rapid urbanisation over the last decades due to accelerated demographic and economic growth. The transformations of natural landscapes into impervious urban land due to urbanisation modify the local weather and climate. This paper is an attempt to investigate the urbanisation and its impact on land surface temperature using integrated approach of remote sensing (RS) and geographic information systems (GIS) in Nagpur city, India for the period 1998–2015. The main objective of this study is to investigate the relationship between urbanisation and land surface temperature by analysing spatio-temporal patterns of urbanisation and land surface temperature in Nagpur city using RS data and GIS. Landsat imageries of two different time periods, i.e. 1998 and 2015, were analysed in the core of GIS for detecting urbanisation and assessing land surface temperature in the region. Then, the land surface temperature data was linked to land use data of Nagpur city for further investigations of the relationship between land surface temperature behaviour and urban structures. The results indicate that during the study period, the growth was uneven in urban areas. This rapid urban growth had increased surface radiant temperature by 1.33 °C in the urbanised area. The study also proves that the integrated approach of RS and GIS is an effective approach for monitoring and analysing urban growth patterns and evaluating urbanisation impact on land surface temperature.

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 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 279.99
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

Abbreviations

TM:

Thematic mapper

NMC:

Nagpur Municipal Corporation

NDVI:

Normalised difference vegetation index

NDWI:

Normalised difference water index

NDBI:

Normalised difference built-up index

References

  • Artis DA, Carnahan WH (1982) Survey of emissivity variability in thermography of urban areas. Rem Sens Environ 12:313–329

    Article  Google Scholar 

  • Chen Y, Wang J, Li X (2002) A study on urban thermal field in summer based on satellite remote sensing. Rem Sens Land Res 4:55–59

    Google Scholar 

  • Chen XL, Zhao HM, Li PX, Yin ZY (2006) Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Rem Sens Environ 104:133–146

    Article  Google Scholar 

  • Dousset B, Gourmelon F (2003) Satellite multi-sensor data analysis of urban surface temperatures and land cover. Photog Rem Sens 58:43–54

    Article  Google Scholar 

  • Ehlers M, Jadkowski MA, Howard RR, Brostuen DE (1990) Application of SPOT data for regional growth analysis and local planning. Photog Engin Rem Sens 56:175–180

    Google Scholar 

  • Gallo KP, McNab AL, Karl TR, Brown JF, Hood JF, Tarpley JD (1993) The use of a vegetation index for assessment of the urban heat island effect. Intern J Rem Sens 14:2223–2230

    Article  Google Scholar 

  • Gallo KP, Owen TW (1998) Assessment of urban heat island: A multisensory perspective for the Dallas-Ft. Worth USA Region. Geo Intern 13:35–41

    Article  Google Scholar 

  • Gallo KP, Tarpley JD, McNab AL, Karl TR (1995) Assessment of urban heat islands: a satellite perspective. Atmo Rese 37:37–43

    Article  Google Scholar 

  • Gillies RR, Carlson TN (1995) Thermal remote sensing of surface soil water content with partial vegetation cover for incorporation into climate models. J Appl Meteo 34:745–756

    Article  Google Scholar 

  • Harris PM, Ventura SJ (1995) The integration of geographic data with remotely sensed imagery to improve classification in an urban area. Photog Engin Rem Sens 61:993–998

    Google Scholar 

  • Imhoff ML, Zhang P, Wolfe RE, Bounoua L (2015) Remote sensing of the urban heat island effect across biomes in the continental USA. Rem Sens Environ 114:504–513

    Article  Google Scholar 

  • Jusuf KS, Wong HN, Hagen E, Anggoro R, Hong Y (2007) The influence of land use on the urban heat island in Singapore. Hab Intern 31:232–242

    Article  Google Scholar 

  • Kumar M, Kumar P, Tripathi DK (2012) Urban growth and its impact on surface temperature in greater Mumbai district, Maharashtra: a geographical analysis using geospatial techniques. Annal Natio Associ of Geogr INDIA 32(2):68–79

    Google Scholar 

  • Lo CP, Quattrochi DA, Luvall JC (1997) Application of high-resolution thermal infrared remote sensing and GIS to assess the urban heat island effect. Intern J Rem Sens 18:287–304

    Article  Google Scholar 

  • Malaret E, Bartolucci LA, Lozano DF Anuta PE, McGillem CD (1985) Landsat-4 and landsat-5 thematic mapper data quality analysis. Photog Engin and Rem Sens 51:1407–1416

    Google Scholar 

  • Mallick J, Kant Y, Bharath BD (2008) Estimation of land surface temperature over Delhi using Landsat-7 ETM Plus. J Ind Geophys Union 12(3):131–140

    Google Scholar 

  • Nemani RR, Running SW (1989) Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data. J Appl Meteo 28:276–284

    Article  Google Scholar 

  • Nichol JE (1994) A GIS-based approach to microclimate monitoring in Singapore’s high rise housing estates. Photog Engin Rem Sens 60:1225–1232

    Google Scholar 

  • Owen TW, Carlson TN, Gillies RR (1998) An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization. Intern J Rem Sens 19:1663–1681

    Article  Google Scholar 

  • Prakash A, Gupta RP (1998) Land-use mapping and change detection in a coal mining area-a case study in the Jharia coalfield. India. Intern J Rem Sens 19(3):391–410

    Article  Google Scholar 

  • Quattrochi DA, Luvall JC (1999) Thermal infrared remote sensing for analysis of landscape ecological processes: methods and applications. Landscape Ecol 14(6):577–598

    Article  Google Scholar 

  • Ramachandra TV, Kumar U (2008) Wetlands of greater Bangalore, India: automatic delineation through pattern classifiers. Elect Green J 26:1076–7975

    Google Scholar 

  • Rao PK (1972) Remote sensing of urban heat islands from an environmental satellite. Bull Am Meteo Soc 53:647–648

    Google Scholar 

  • Rawashdeh SA, Saleh B (2006) Satellite monitoring of urban spatial growth in Amman area, Jordan. J Urb Plann Dev 132(4):211–216

    Article  Google Scholar 

  • Salah AH, Saleh SA (2011) Impact of urban expansion on surface temperature in Baghdad, IRAQ using remote sensing and GIS techniques. Can Jon Environ Const Civil Eng 2(8):193–202

    Google Scholar 

  • Sobrino JA, Jimenez-Munoz JC, Paolini L (2004) Land surface temperature retrieval from LANDSAT TM 5. Rem Sens Environ 90:434–440

    Article  Google Scholar 

  • Streutker DR (2002) A remote sensing study of the urban heat island of Houston, Texas. Intern J Rem Sens 23:2595–2608

    Article  Google Scholar 

  • Streutker DR (2003) Satellite measured growth of the urban heat island of Houston, Texas. Rem Sens Env 85:282–289

    Article  Google Scholar 

  • Treitz PM, Howard PJ, Gong P (1992) Global change and terrestrial ecosystems: the operational plan. International Geosphere-Biosphere Programme Stockholm, IGBP Report 21

    Google Scholar 

  • Voogt JA, Oke TR (2003) Thermal remote sensing of urban climates. Rem Sens Environ 86:370–384

    Article  Google Scholar 

  • Weng Q (2001) A remote sensing-GIS evaluation of urban expansion and its impact on surface temperature in Zhujiang Delta, China. Int J Rem Sens 22(10):1999–2014

    Google Scholar 

  • Weng Q (2009) Thermal infrared remote sensing for urban climate and environmental studies: methods, applications and trends. ISPRS J Photog Rem Sens 64:335–344

    Article  Google Scholar 

  • Weng Q, Lu D, Jacquelyn S (2004) Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies. Rem Sens Environ 89:467–483

    Article  Google Scholar 

  • Yamashita S (1996) Detail structure of heat island phenomena from moving observations from electric trans cars in Metropolitan Tokyo. Atmos Environ 30:429–435

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Manish Kumar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Kumar, M., Tripathi, D.K., Maitri, V., Biswas, V. (2017). Impact of Urbanisation on Land Surface Temperature in Nagpur, Maharashtra. In: Sharma, P., Rajput, S. (eds) Sustainable Smart Cities in India. The Urban Book Series. Springer, Cham. https://doi.org/10.1007/978-3-319-47145-7_15

Download citation

Publish with us

Policies and ethics