Advertisement

Spatio-temporal Change Detection of Urban Heat Islands Using Spatial Interpolation

  • Shrutilipi Bhattacharjee
  • Titas Aikat
  • Soumya K. Ghosh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8251)

Abstract

The urban heat island has drawn significant attention in recent years. It has grabbed an unprecedented research interest in the field of remote sensing and geographic information system. This work focuses on spatial interpolation based change detection of heat islands and finding the dynamics of the heat islands. Performance checking is done on derived spatial attribute, land surface temperature (LST). The LSTs of two distinct Landsat ETM+ satellite images (of years 2000 and 2010) are used to verify the accuracy of the proposed algorithm.

Keywords

Urban Heat Island Geographic Information System Spatial Interpolation Inverse Distance Weighting 

References

  1. 1.
    United Nations World urbanization prospects: The 2005 revision (2006)Google Scholar
  2. 2.
    Li, J., Heap, A.D.: A review of comparative studies of spatial interpolation methods in environmental sciences: Performance and impact factors. Ecological Informatics 6(3), 228–241 (2011)CrossRefGoogle Scholar
  3. 3.
    Hekster, F., De Voogt, P., Pijinenburg, A., Laane, R.: Perfluoroalkylated substances: Aquatic environmental assessment. Rijksinstituut voor Kust en Zee/RIKZ 99 (2002)Google Scholar
  4. 4.
    Rizwan, A.M., Dennis, L.Y., Liu, C.: A review on the generation, determination and mitigation of urban heat island. Journal of Environmental Sciences 20(1), 120–128 (2008)CrossRefGoogle Scholar
  5. 5.
    US EPA: Draft Report: In reducing urban heat islands: Compendium of strategies. Urban Heat Island basics (2003)Google Scholar
  6. 6.
    Oleson, K.W., Bonan, G.B., Feddema, J., Jackson, T.: An examination of urban heat island characteristics in a global climate model. International Journal of Climatology 31(12), 1848–1865 (2011)CrossRefGoogle Scholar
  7. 7.
    Weng, Q.: Fractal analysis of satellite-detected urban heat island effect. Photogrammetric Engineering and Remote Sensing 69(5), 555–566 (2003)CrossRefGoogle Scholar
  8. 8.
    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 Sensing of Environment 106(3), 375–386 (2007)CrossRefGoogle Scholar
  9. 9.
    Miao, S., Chen, F., LeMone, M.A., Tewari, M., Li, Q., Wang, Y.: An observational and modeling study of characteristics of urban heat island and boundary layer structures in beijing. Journal of Applied Meteorology and Climatology 48(3), 484–501 (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Shrutilipi Bhattacharjee
    • 1
  • Titas Aikat
    • 1
  • Soumya K. Ghosh
    • 1
  1. 1.School of Information TechnologyIndian Institute of Technology KharagpurIndia

Personalised recommendations