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http://dx.doi.org/10.7744/cnujas.2012.39.1.087

Assessment of the Urban Heat Island Effects with LANDSAT and KOMPSAT-2 Data in Cheongju  

Na, Sang-Il (Department of Agriculture and Rural Engineering, Chungbuk National University)
Park, Jong-Hwa (Department of Agriculture and Rural Engineering, Chungbuk National University)
Publication Information
Korean Journal of Agricultural Science / v.39, no.1, 2012 , pp. 87-95 More about this Journal
Abstract
Land surface temperature (LST) is an important factor in human health, thermal environment, heat balance, global change studies, and as control for climate change. The objective of this study was to assess the influence of Urban Heat Island (UHI) Effects on the LST and NDVI in Cheongju, Korea. The aim was to evaluate the effect of urban thermal environment for LST comparison of satellite-derived and in situ measured temperature. In this study, LANDSAT TM and KOMPSAT scene were used. The results indicated that the minimum LST is observed over dense forest as about $21{\sim}25^{\circ}C$ and maximum LST is observed over industrial area of about $28{\sim}32^{\circ}C$. The estimated LST showed that industrial area, bare soils and built-up areas exhibit higher surface temperatures, while forest, water bodies, agricultural croplands, and dense vegetations have lower surface temperatures during the summer daytime. Result corroborates the fact that LST over land use/land cover (LULC) types are greatly influenced by the amount of vegetation and water bodies present. The LST of industrial area and urban center is higher than that of suburban area, so it is clearly proved that there are obvious UHIE in Cheongju.
Keywords
Urban heat island (UHI); KOMPSAT; LANDSAT; NDVI; Land surface temperatures (LST);
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1 Bauer ME, Heinert NJ, Doyle JK, Yuan F. 2004. Impervious surface mapping and change monitoring using satellite remote sensing. Proc. Ame. Soc. of Pho. and Rem. Sen. Annual Conference, CD ROM, 10 pp.
2 Chander G, Markham B. 2003. Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing 41(11): 2674-2677.   DOI   ScienceOn
3 Dousset B, Gourmelon F. 2003. Satellite multi-sensor data analysis of urban surface temperatures and land cover. ISPRS J. Photogramm. Remote Sens. 58: 43-54.   DOI   ScienceOn
4 IPCC (Intergovernmental Panel on Climate Change). 2007. Climate Change 2007: The Physical Science Basis. edited by S. Solomon et al., 989 pp., Cambridge Univ. Press.
5 Kim YH, Baik JJ. 2005. Spatial and temporal structure of the urban heat island in Seoul. J. Appl. Meteor. 44: 591-605.   DOI   ScienceOn
6 NSO (Korea National Statistical Office). 2010. Statistical Yearbook.
7 Na SI, Park JH. 2010a. Quantification of the relationship between Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) in arable land. Proceedings of SPIE. 7824: 78242H.
8 Na SI, Park JH, Park JK. 2010b. Estimation of cabon absorption distribution by land use changes using RS/GIS method in green land. J. of the Korean Society of Agr. Eng. 52(3): 39-46. [in Korean]
9 Oke T. 1973. City size and the urban heat island. Atmos. Environ. 7: 769-779.   DOI   ScienceOn
10 Owen T, Carlson TN, Gillies RR. 1998. An assessment of satellite remotely sensed land cover parameters in quantitatively describing the climatic effect of urbanization. Int. J. Remote Sens. 19(9): 1663-1681.   DOI   ScienceOn
11 Park JH, Na SI. 2010. SST and SS changes during Saemangeum seawall construction using Landsat TM and ETM imagery. Proc. SPIE. 7831: 78311F.
12 Schneider K, Mauser W. 1996. Processing and accuracy of landsat thematic mapper data for lake surface temperature measurement. Int. J. of Rem. Sen. 17: 2027-2041.   DOI   ScienceOn
13 Voogt J, Oke T. 2003. Thermal remote sensing of urban climates. Remote Sensing of Environment 86(3): 370-384.   DOI   ScienceOn
14 Weng Q, Lu D, Schubring J. 2004. Estimation of land surface temperature - vegetation abundance relationship for urban heat island studies. Rem. Sen. of Env. 89(4): 467-483.   DOI   ScienceOn