Analysis of urban heat island (Uhi) in relation to normalized difference vegetation index (ndvi): A comparative study of delhi and mumbai

Environments - MDPI

Volumn 2, Issue 2, 2015, Pages 125-138

  Grover, Aakriti ^a   Singh, Ram Babu ^b  

^a UNIVERSITY OF DELHI   (India)

^b UNIVERSITY OF DELHI   (India)

Author keywords

Delhi; Land surface temperature; Land use cover; Landsat satellite images; Metropolitan; Mumbai; Urban microclimates

Indexed keywords

EID: 84971531439     PISSN: None     EISSN: 20763298     Source Type: Journal    
DOI: 10.3390/environments2020125     Document Type: Article

References (42)

1. Voogt, J.A.; Oke, T.R. Thermal remote sensing of urban climates. Remote Sens. Environ. 2003, 86, 370–384.
2. Valsson, S.; Bharat, A. Urban heat island: Cause for microclimate variations. Architecture-Time Space & People, April 2009, 21–25.
3. Singh, R.B.; Grover, A. Remote sensing of urban microclimate with special reference to urban heat island using Landsat thermal data. Geogr. Polonica 2014, 87, 555–568.
4. Weng, Q.; Dengshang, L.; Jacquelyn, S. Estimation of land surface temperature—Vegetation abundance relationship for urban heat island studies. Remote Sens. Environ. 2004, 89, 467–483.
5. Amiri, R.; Weng, Q.; Alimohammadi, A.; Alavipanah, S.K. Spatial-temporal dynamics of land surface temperature in relation to fractional vegetation cover and land use/cover in the Tabriz urban area, Iran. Remote Sens. Environ. 2009, 113, 2606–2617.
6. Le-Xiang, Q.; Hai-Shan, C.; Jie, C. Impacts of land use and cover change on land surface temperature in the Zhujiang Delta. Pedosphere 2006, 16, 681–689.
7. Kuang, W.; Chi, W.; Lu, D.; Dou, Y. A comparative analysis of megacity expansions in China and the U.S.: Patterns, rates and driving forces. Landsc. Urban Plan. 2014, 132, 121–135.
8. Ding, H.; Shi, W. Land-use/land-cover change and its influence on surface temperature: A case study in Beijing city. Int. J. Remote Sens. 2013, 34, 5503–5517.
9. Jusuf, S.K.; Wong, N.H.; Hagen, E.; Anggoro, R.; Hong, Y. The influence of land use on the urban heat island in Singapore. Habitat Int. 2007, 31, 232–242.
10. Zhang, H.; Qi, Z.-F.; Ye, X.-Y.; Cai, Y.-B.; Ma, W.-C. Analysis of land use/land cover change, population shift, and their effects on spatiotemporal patterns of urban heat islands in metropolitan Shanghai, China. Appl. Geogr. 2013, 44, 121–133.
11. Li, J.; Song, C.; Cao, L.; Zhu, F.; Meng, X.; Wu, J. Impacts of landscape structure on surface urban heat islands: A case study of Shanghai, China. Remote Sens. Environ. 2011, 115, 3249–3263.
12. Kuang, W.; Liu, Y.; Dou, Y.; Chi, W.; Chen, G.; Gao, C.; Yang, T.; Liu, J.; Zhang, R. What are hot and what are not in an urban landscape: Quantifying and explaining the land surface temperature pattern in Beijing, China. Landsc. Ecol. 2015, 30, 357–373.
13. Kuang, W.; Dou, Y.; Zhang, C.; Chi, W.; Liu, A.; Liu, Y.; Zhang, R.; Liu, J. Quantifying the heat flux regulation of metropolitan land use/land cover components by coupling remote sensing modeling with in situ measurement. J. Geophys. Res. Atmos. 2015, 120, 113–130.
14. Xiong, Y.; Huang, S.; Chen, F.; Ye, H.; Wang, C.; Zhu, C. The impacts of rapid urbanization on the thermal environment: A remote sensing study of Guangzhou, South China. Remote Sens. 2012, 4, 2033–2056.
15. Zhang, J.; Wang, Y. Study of the relationships between the spatial extent of surface urban heat islands and urban characteristic factors based on Landsat ETM+ Data. Sensors 2008, 8, 7453–7468.
16. Singh, R.B.; Grover, A.; Zhan, J. Inter-seasonal variations of surface temperature in the urbanized environment of Delhi using Landsat thermal data.Energies 2014, 7, 1811–1828.
17. Li, Y.Y.; Zhang, H.; Kainz, W. Monitoring patterns of urban heat islands of the fast-growing Shanghai metropolis, China: Using time-series of Landsat TM/ETM+ data. Int. J. Appl. Earth Obs. Geoinf. 2012, 19, 127–138.
18. Lo, C.P.; Quattrochi, D.A. Land-use and land-cover change, urban heat island phenomenon, and health implications: A remote sensing approach. Photogramm. Eng. Remote Sens. 2003, 69, 1053–1063.
19. Julien, Y.; Sobrino, J.A.; Mattar, C.; Ruescas, A.B.; JimeNez-Munoz, J.C.; SoRia, G.; Hidalgo, V.; Atitar, M.; Franch, B.; Cuenca, J. Temporal analysis of normalized difference vegetation index (NDVI) and land surface temperature (LST) parameters to detect changes in the Iberian land cover between 1981 and 2001. Int. J. Remote Sens. 2011, 32, 2057–2068.
20. Kawashima, S. Relation between vegetation, surface temperature and surface composition in the Tokyo region during winter.Remote Sens. Environ. 1994, 50, 52–60.
21. Zhang, X.X.; Wu, P.F.; Chen, B. Relationship between vegetation greenness and urban heat island effect in Beijing City of China. Procedia Environ. Sci. 2010, 2, 1438–1450.
22. Chen, X.L.; Zhao, H.M.; Li, P.X.; Yin, Z.Y. Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sens. Environ. 2006, 104, 133–146.
23. Zhang, Y.; Yiyun, C.; Qing, D.; Jiang, P. Study on urban heat island effect based on Normalized Difference Vegetated Index: A case study of Wuhan City. Procedia Environ.Sci. 2012, 8, 574–581.
24. Mallick, J.; Singh, C.K.; Shashtri, S.; Rahman, A.; Mukherjee, S. Land surface emissivity retrieval based on moisture index from Landsat TM satellite data over heterogeneous surfaces of Delhi city. Int. J. Appl. Earth Obs. Geoinf. 2012, 19, 348–358.
25. Mallick, J.; Kant, Y.; Bharath, B.D. Estimation of land surface temperature over Delhi using Landsat-7 ETM. J. Indian Geophys. Union 2008, 12, 131–140.
26. Sharma, R.; Joshi, P.K. Monitoring urban landscape dynamics over Delhi (India) using remote sensing (1998–2011) inputs. J. Indian Soc. Remote Sens. 2013, 41, 641–650.
27. Kant, Y.; Bharath, B.D.; Mallick, J.; Atzberger, C.; Kerle, N. Satellite-based analysis of the role of land use/land cover and vegetation density on surface temperature regime of Delhi, India. J. Indian Soc. Remote Sens. 2009, 37, 201–214.
28. Acharya, A.K.; Nangia, P. Population growth and changing land-use pattern in Mumbai metropolitan region of India. Caminhos de Geografia2004, 11, 168–185.
29. Pacione, M. City profile—Mumbai. Cities 2006, 23, 229–238.
30. Grover, A.; Parthasarathy, D. Relocation and changing nature of vulnerability—A case study of Krantinagar Slum, Mumbai. Horizon J. Soc. Sci. 2012, 3, 1–19.
31. Directorate of Census Operations. Provisional Population Totals, NCT of Delhi; Ministry of Home Affairs, Government of India: New Delhi, India, 2011.
32. Directorate of Census Operations. Provisional Population Totals, Maharashtra; Ministry of Home Affairs, Government of India: New Delhi, India, 2011.
33. Forest Survey of India. State of Forest Report; Ministry of Environment & Forests: Dehradun, India, 2011.
34. United States Geological Survey (USGS). Available online: www.earthexplorer.usgs.gov (accessed on 15 October 2014).
35. Singh, R.B.; Grover, A. Spatial correlations of changing land use, surface temperature(UHI) and NDVI in Delhi using Landsat satellite images. In Urban Development Challenges, Risks and Resilience in Asian Megacities; Singh, R.B., Ed.; Springer: Tokyo, Japan, 2015; pp. 83–98.
36. Landsat 7 Science Data Users Handbook; National Aeronautics and Space Administration (NASA): Washington, DC, USA, 2003. Available online: http://landsathandbook.gsfc.nasa.gov/pdfs/Landsat7_Handbook.pdf (accessed on 8 April 2015).
37. Murayama, Y.; Lwin, K.K. Estimation of Landsat TM Surface Temperature Using ERDAS Imagine Spatial Modeler; University of Tsukuba: Ibaraki, Japan, 2010. Available online: http://giswin.geo.tsukuba.ac.jp/sis/tutorial/koko/SurfaceTemp/SurfaceTemperature.pdf (accessed on 15 October 2014).
38. Chander, G.; Markham, B.; Helder, D. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+ and EO-1 ALI sensors. Remote Sens. Environ. 2009, 113, 893–903.
39. Yue, W.; Xu, J.; Tan, W.; Xu, L. The relationship between land surface temperature and NDVI with remote sensing: Application to Shanghai Landsat 7 ETM+ data. Int. J. Remote Sens. 2007, 28, 3205–3226.
40. Roy, S.S.; Singh, R.B.; Kumar, M. An analysis of local spatial temperature patterns in the Delhi Metropolitan Area. Phys. Geogr. 2011, 32, 114–138.
41. Pandey, P.; Kumar, D.; Prakash, A.; Kumar, K.; Jain, V.K. A study of the summertime urban heat island over Delhi. Int. J. Sustain. Sci. Stud. 2009, 1, 27–34.
42. Yuan, F.; Bauer, M.E. Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery. Remote Sens. Environ. 2007, 106, 375–386.