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Thermal Infrared Remote Sensing Data Utilization for Urban Heat Island and Urban Planning Studies

  • 이혜경 (단국대학교 초고층빌딩 글로벌 R&BD 센터)
  • Received : 2017.06.08
  • Accepted : 2017.06.19
  • Published : 2017.06.30

Abstract

Population growth and rapid urbanization has been converting large amounts of rural vegetation into urbanized areas. This human induced change has increased temperature in urban areas in comparison to adjacent rural regions. Various studies regarding to urban heat island have been conducted in different disciplines in order to analyze the environmental issue. Especially, different types of thermal infrared remote sensing data are applied to urban heat island research. This article reviews research focusing on thermal infrared remote sensing for urban heat island and urban planning studies. Seven studies of analyses for the relationships between urban heat island and other dependent indicators in urban planning discipline are reviewed. Despite of different types of thermal infrared remote sensing data, units of analysis, land use and land cover, and other dependent variable, each study results in meaningful outputs which can be implemented in urban planning strategies. As the application of thermal infrared remote sensing data is critical to measure urban heat island, it is important to understand its advantages and disadvantages for better analyses of urban heat island based on this review. Despite of its limitations - spatial resolution, overpass time, and revisiting cycle, it is meaningful to conduct future research on urban heat island with thermal infrared remote sensing data as well as its application to urban planning disciplines. Based on the results from this review, future research with remotely sensed data of urban heat island and urban planning could be modified and better results and mitigation strategies could be developed.

Keywords

References

  1. Buyantuyev, A. and Wu, J. (2010). Urban Heat Islands and Landscape Heterogeneity: Linking Spatiotemporal Variations in Surface Temperatures to Land-cover and Socioeconomic Patterns. Landscape Ecology, 25, pp. 17-33. https://doi.org/10.1007/s10980-009-9402-4
  2. Golden, J. (2004). The Built Environment Induced Urban Heat Island Effect in Rapidly Urbanizing Arid Regions - a Sustainable Urban Engineering Complexity. Environmental Sciences, 1(4), pp. 321-349. https://doi.org/10.1080/15693430412331291698
  3. Grossman-Clarke, S., Zehnder, Zehnder, J. A., Stefanov, W. L., Liu, Y., Zoldak, M. A. (2005). Urban Modifications in a Mesoscale Meteorological Model and the Effects on Near-Surface Variables in an Arid Metropolitan Region. Journal of Applied Meteorology, 44(9), pp. 281-297.
  4. Harlan, S., Brazel, A., Jenerette, G., Jones, N., Larsen, L., Prashad, L., Stefanov, W. (2008). In the Shade of Affluence: the Inequitable Distribution of the Urban Heat Island. Research in Social Problems and Public Policy, 15, pp. 173-202.
  5. Jenerette, G. D., Harlan, S. L., Brazel, A., Jones. N., Larsen, L., Stefanov, W. L. (2007). Regional Relationships between Surface Temperature, Vegetation, and Human Settlement in a Rapidly Urbanizing Ecosystem. Landscape Ecology, 22, pp. 353-365. https://doi.org/10.1007/s10980-006-9032-z
  6. Kestens, Y., Brand, A., Fournier, M., Goudreau, S., Kosatsky, T., Maloley, M., Smargiass, A. (2011). Modeling the Variation of Land Surface Temperature as Determinant of RIsk of Heat-related Health Events. International Journal of Health Geographics, 10, pp. 7. https://doi.org/10.1186/1476-072X-10-7
  7. Lee, H. K. (2011). Regional Relationships between Surface Temperature and Population, Land Use Pattern Changes in the City of Dallas and the City of Austin, Texas. Poster session presented at the Association of Collegiate Schools of Planning Annual Conference , October, Salt Lake, UT.
  8. Lo, C. P. and Quattrochi, D. A. (2003). Land-Use and Land-Cover Change, Urban Heat Island Phenomenon, and Health Implications: a Remote Sensing Approach. Photogrammetric Engineering & Remote Sensing, 69(9), pp. 1053-1063. https://doi.org/10.14358/PERS.69.9.1053
  9. Rinner, C. and Hussain, M. (2011). Toronto's Urban Heat Island: Exploring the Relationship between Land Use and Surface Temperature. Remote Sensing, 3, pp. 1251-1265. https://doi.org/10.3390/rs3061251
  10. Stone, B. and Rodgers. M. O. (2001). Urban Form and Thermal Efficiency: How the Design of Cities Influences the Urban Heat Island Effect. Journal of the American Planning Association, 67(2), pp. 186-198. https://doi.org/10.1080/01944360108976228
  11. United Nations (2014). World Urbanization Prospects: The 2014 Revision. Department of Economic and Social Affairs, Population Division, New York.
  12. Voogt, J. A. and Oke, T. R. (2003). Thermal Remote Sensing of Urban Climates. Remote Sensing of Environment, 86, pp. 370-384. https://doi.org/10.1016/S0034-4257(03)00079-8
  13. Weng, Q., Rajasekar, U., Hu. X. (2011). Modeling Urban Heat Islands and Their Relationship with Impervious Surface and Vegetation Abundance by Using ASTER Images. IEEE Transactions on Geoscience and Remote Sensing, 49(10), pp. 4080-4089. https://doi.org/10.1109/TGRS.2011.2128874
  14. 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 of Environment, 106, pp. 375-386. https://doi.org/10.1016/j.rse.2006.09.003