Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
권호 표지
DOI QR코드

DOI QR Code

A Preliminary Analysis of the Impact of Urban Green Spaces on the Urban Heat Island Effect Using a Temperature Map

  • Myeong, Soo-Jeong (Korea Adaptation Center for Climate Change, Korea Environment Institute)
  • Received : 2010.12.20
  • Accepted : 2010.12.25
  • Published : 2010.12.30
Download PDF
⟨ Previous Next ⟩

Abstract

Temperature is one of the main issues in climate change, and the urban heat island effect in highly developed urban areas is an important issue that we need to deal with. This study analyzed the extent of the cooling effects of urban green spaces. The study used a surface temperature map of Seoul. It found that the cooling effects of green space was observed within limited distances, although it varied a little depending on the parks investigated. The cooling effect distance ranged from 240m to 360m, averaging about 300m. It also found the size of an urban green space does not make much difference in cooling the surrounding areas. Although further investigation with diverse urban areas should be conducted on this matter, the results did imply that many small green spaces in the neighborhood are more effective than a single big green space in mitigating the heat island effects of cities.

Keywords

References

  1. Balling, R. C. and S. W. Brazel, 1988. Highresolution surface-temperature patterns in a complex urban terrain. Photogrammetric Engineering and Remote Sensing, 54: 1289 - 1293.
  2. Chander, G. and B. Markham, 2003. Revised Landsat-5 TM Radiometric Calibration procedures and postcalibration dynamic ranges. IEEE Transactions on Geoscience and remote sensing, 41(11): 2674 - 2677. https://doi.org/10.1109/TGRS.2003.818464
  3. Chen, X., H. Zhao, P. Li, Z, Yin, 2006. Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environment. 104(2): 133-146. https://doi.org/10.1016/j.rse.2005.11.016
  4. IPCC, 2007. Climate Change 2007: Impact, adaptation and vulnerability. Parry, M.L., O.F. Canziani, J.P. Palutikof, P.J. van der Linden and C.E. Hanson (eds). Cambridge University Press. Cambridge, UK and New York, NY, US.
  5. Lathror, R. J. and T. M. Lillesand, 1987. Calibration of Thematic Mapper Thermal Data for Water Surface Temperature Mapping: Case study on the Great lakes. Remote Sensing of Environment, 22: 297-307. https://doi.org/10.1016/0034-4257(87)90063-0
  6. Lougeay, R., A. Brazel, and M. Hubble, 1996. Monitoring intra-urban temperature patters and associated land cover in Phoenix, Arizona using Landsat thermal data. Geocarto International, 11: 79-89. https://doi.org/10.1080/10106049609354564
  7. NASA. Landsat science data users handbook. http://ltpwww.gsfc.nasa.gov/
  8. Rosenzweig. C., 2007. Environmental monitoring, evaluation, protection program. New York State Energy Research and Development Authority.
  9. Smit, B., O. Pilifosova, I. Burton, B. Challenge, S. Huq, R. J. Klein, and T. Yohe, 2001. Adaptation to climate change in the context of sustainable development and equity; in Climate change 2001: Impacts, Adaptation and Vulnerability.
  10. Steel, T. J. and K. Pye, 1997. The development of salt marsh tidal creek networks: Evidence from the UK, in Proceedings of the Canadian Coastal Conference, pp.267-280, CCSEA.
  11. Stern, N., 2006. Stern Review: The Economics of Climate Change. Cambridge University Press.
  12. Voogt, J. A. and T. R. Oke., 2003. Thermal remote sensing of urban climate, Remote Sensing of Environment, 86(3): 3790-384.
  13. Yuan, F. and M. E. Bauer, 2007. Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effect in Landsat imagery. Remote Sensing of Environment, 106: 375 - 386. https://doi.org/10.1016/j.rse.2006.09.003