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http://dx.doi.org/10.12652/Ksce.2014.34.3.1033

Urbanization and Urban Heat Island Analysis Using LANDSAT Imagery: Sejong City As a Case Study  

Kim, Mi-Kyeong (Yonsei University)
Kim, Sang-Pil (Yonsei University)
Kim, Nam-Hoon (Yonsei University)
Sohn, Hong-Gyoo (Yonsei University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.34, no.3, 2014 , pp. 1033-1041 More about this Journal
Abstract
Rapid urbanization of Korea was an unprecedented example in the world and urban population increased significantly. As a result, unbalanced distribution of population is serious problem in Korea because approximately 50% of the population is concentrated in the capital area that is 10% of nation's territory, thereby occurring various urban problems including UHI. Hence, Sejong Special Autonomous City was inaugurated officially on 2 July 2012 in order to decentralize population of capital area and induce more balanced regional development. The Sejong City has been changed drastically over a period of years as developed practically since the late 2000's and is expected to have new problems of urbanization. The land cover change due to urbanization is the main cause of UHI that urban area is significantly warmer than its surrounding areas and UHI is not only affecting urban climate change but also natural environment. So the purpose of this research is to analyze level of urbanization and UHI effect and to provide the correlation analysis between Land Surface Temperature and spectral indices. To achieve this, satellite imagery from LANDSAT were used. NDVI, NDBI, and UI were calculated using red, near-infrared, mid-infrared ($0.63{\mu}m-1.75{\mu}m$) images and LST was retrieved utilizing thermal infrared ($10.4{\mu}m-12.5{\mu}m$) image. Based on each index and LST, Changes of NDVI, UI and UHI through TVI were analyzed in Sejong City. UHI effect increased around newly constructed multi-functional administrative city, the correlation between LST and NDVI was negative and UI was strong positive.
Keywords
LANDSAT; NDVI; NDBI; LST; UHI; Sejong City;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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1 Park, S. H., Jung, H. S. and Shin, H. S. (2013). "An efficient method to estimate land surface temperature difference (LSTD) using landsat satellite images." Korean Journal of Remote Sensing, Vol. 29, No. 2, pp. 197-207 (in Korean).   과학기술학회마을   DOI   ScienceOn
2 Oke, T. R. (1976). "City size and the urban heat island." Atmospheric Environment, Vol. 7, No. 8, pp. 769-779.
3 Ottle, C. and Stroll, M. (1993). "Effect of atmospheric absorption and surface emissivity of the determination of land surface temperature from infrared satellite data." International Journal of Remote Sensing, Vol. 14, pp. 2025-2037.   DOI   ScienceOn
4 Park, K. H. and Suh, M. S. (2013). "Inter-comparison of three land surface emissivity data sets (MODIS, CIMSS, KNU) in the Asian-Oceanian regions." Korean Journal of Remote Sensing, Vol. 29, No. 2, pp. 219-233 (in Korean).   과학기술학회마을   DOI   ScienceOn
5 Qin, Z., Karnieli, A. and Berliner, P. (2001). "A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region." International Journal of Remote Sensing, Vol. 22, No. 18, pp. 3719-3746.   DOI   ScienceOn
6 Van de Griend, A. A. and Owe, M. (1993). "On the relationship between thermal emissivity and normalized difference vegetation index for natural surfaces." International Journal of Remote Sensing, Vol. 14, No. 6, pp. 1119-1131.   DOI   ScienceOn
7 Villa, P. (2012). "Mapping urban growth using soil and vegetation index and landsat data: The Milan (Italy) City Area Case Study." Landscape and Urban Planning, Vol. 107, No. 3, pp. 245-254.   DOI   ScienceOn
8 Weng, Q. (2001). "A remote sensing-GIS evaluation of urban expansion and its impact on surface temperature in the zhujiang delta, China." International Journal of Remote Sensing, Vol. 22, No. 10, pp. 1999-2014.
9 Yang, L., Huang, C., Homer, C. G., Wylie, B. K. and Coan, M. J. (2003). "An approach for mapping large-area impervious surfaces: Synergistic use of Landsat 7 ETM+ and High Spatial Resolution Imagery." Canadian Journal of Remote Sensing, Vol. 29, No. 2, pp. 230-240.   DOI
10 Yuan, F. and 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, Vol. 106, No. 3, pp. 375-386.   DOI   ScienceOn
11 Zha, Y., Gao, J. and Ni, S. (2003). "Use of normalized difference built-up index in automatically mapping urban areas from TM imagery." International Journal of Remote Sensing, Vol. 24, No. 3, pp. 583-594.   DOI   ScienceOn
12 Jensen, J. R. and Cowen, D. J. (1999). "Remote sensing of urban/suburban infrastructure and socio-economic attributes." Photogrammetric Engineering and Remote Sensing, Vol. 65, No. 5, pp. 611-622.
13 Carlson, T. N. and Arthur, S. T. (2000). "The impact of land use/land cover changes due to urbanization on surface microclimate and hydrology: A Satellite Perspective." Global and Planetary Change, Vol. 25, pp. 49-65.   DOI   ScienceOn
14 Civco, D. L., Hurd, J. D., Wilson, E. H., Arnold, C. L. and Prisloe, M. P. (2002). "Quantifying and describing urbanizing landscapes in the Northeast United States." Photogrammetric Engineering and Remote Sensing, Vol. 68, No. 10, pp. 1083-1090.
15 Jang, Y. J. (2010). A study of urban heat island in Chuncheon area using meteorological model and in situ observation, Master Thesis, Kangwon National University, Korea (in Korean).
16 Jung, G. S., Koo, S. and Yoo, H. H. (2011). "Temperature change analysis for land use zoning using landsat satellite imagery." Journal of the Korean Society for Geo-Spatial Information System, Vol. 7, No. 8, pp. 55-61 (in Korean).
17 Myeong, S., Nowak, D. J., Hopkins, P. F. and Brock, R. H. (2001). "Urban cover mapping using digital, high-spatial resolution aerial imagery." Urban Ecosystems, Vol. 5, No. 4, pp. 243-256.   DOI   ScienceOn
18 Kim, H. O. and Yeom, J. M. (2012). "Effect of the urban land cover types on the surface temperature: Case Study of Ilsan New City." Korean Journal of Remote Sensing, Vol. 28, No. 2, pp. 203-214.   과학기술학회마을   DOI
19 Li, J. (2006). "Estimating land surface temperature from Landsat-5 TM." Remote Sensing Technology and Application, Vol. 21, No. 4, pp. 322-326.
20 Liu, L. and Zhang, Y. (2011). "Urban heat island analysis using the landsat TM data and ASTER data: A Case Study in Hong Kong." Remote Sensing, Vol. 3, No. 7, pp. 1535-1552.   DOI
21 Na, S. I. and Park, J. H. (2012). "Assessment of the urban heat island effects with LANDSAT and KOMPSAT-2 data in cheongju." Journal of Agricultural Science, Vol. 39, No. 1, pp. 87-95.   과학기술학회마을   DOI   ScienceOn
22 NASA User Handbook (2013). Landsat 7 science data users handbook, Available at: http://landsathandbook.gsfc.nasa.gov/.
23 Bhattacharya, B. K., Mallick, K., Padmanabhan, N., Patel, N. K. and Parihar, J. S. (2009). "Retrieval of land surface albedo and temperature using data from the Indian geostationary satellite: A Case Study for the Winter Months." International Journal of Remote Sensing, Vol. 30, No. 12, pp. 3239-3257.   DOI   ScienceOn
24 Ackerman, B. (1985). "Temporal march of the Chicago heat island." Journal of Applied Meteorology and Climatology, Vol. 24, No. 6, pp. 547-554.   DOI
25 Arthur, S. T., Carlson, T. N. and Ripley, D. A. J. (2000). "Land use dynamics of chester county, Pennsylvania, from a satellite remote sensing perspective." Geocarto International, Vol. 15, No. 1, pp. 25-35.
26 Ministry of Land, Infrastructure and Transport (MOLIT) & Korea Land and Housing cooperation (LH) (2013). 2012 city planning status, Available at: http://www.city.go.kr/jsp/board/boardDown.jsp?file_seq =34589 (in Korean).
27 Bauer, M. E., Heinert, N. J., Doyle, J. K. and Yuan, F. (2004). "Impervious surface mapping and change monitoring using landsat remote sensing." Proc. of ASPRS annual conference, May 23-28, 2004, Denver, Colorado., unpaginated CD-ROM, p. 10.
28 Zhang, J., Wang, Y. and Li, Y. (2006). "A C++ program for retrieving land surface temperature from the data of Landsat TM/ETM Band 6." Computers and Geosciences, Vol. 32, No. 10, pp. 1796-1805.   DOI
29 Zhang, Y., Odeh, I. O. A. and Han, C. (2009). "Bi-temporal characterization of land surface temperature in relation to impervious surface area, NDVI and NDBI, using a sub-pixel image analysis." International Journal of Applied Earth Observation and Geoinformation, Vol. 11, No. 4, pp. 256-264.   DOI