DOI QR코드

DOI QR Code

LANDSAT과 KOMPSAT-2 데이터를 이용한 청주지역 도시열섬효과의 평가

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

  • 나상일 (충북대학교 지역건설공학과) ;
  • 박종화 (충북대학교 지역건설공학과)
  • Na, Sang-Il (Department of Agriculture and Rural Engineering, Chungbuk National University) ;
  • Park, Jong-Hwa (Department of Agriculture and Rural Engineering, Chungbuk National University)
  • 투고 : 2012.02.03
  • 심사 : 2012.03.23
  • 발행 : 2012.03.31

초록

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.

키워드

참고문헌

  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. https://doi.org/10.1109/TGRS.2003.818464
  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. https://doi.org/10.1016/S0924-2716(03)00016-9
  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. https://doi.org/10.1175/JAM2226.1
  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. https://doi.org/10.1016/0004-6981(73)90140-6
  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. https://doi.org/10.1080/014311698215171
  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. https://doi.org/10.1080/01431169608948757
  13. Voogt J, Oke T. 2003. Thermal remote sensing of urban climates. Remote Sensing of Environment 86(3): 370-384. https://doi.org/10.1016/S0034-4257(03)00079-8
  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. https://doi.org/10.1016/j.rse.2003.11.005

피인용 문헌

  1. Urbanization and Urban Heat Island Analysis Using LANDSAT Imagery: Sejong City As a Case Study vol.34, pp.3, 2014, https://doi.org/10.12652/Ksce.2014.34.3.1033