Analysis on the long-term variance of surface urban heat island (SUHI) using Landsat thermal infrared: in case of the city of Seoul

서지정보

· 발행기관 : 한국지적정보학회
· 수록지 정보 : 한국지적정보학회지 / 21권 / 1호 / 66 ~ 85페이지
· 저자명 : 윤동현, 이태겸, 노세호, 고준환

초록

Unique heat sources different from peripheral rural areas are formed in urban areas due to impermeable surfaces and thermal peculiarities of absorbance processes. Urban heat island is a symptom that displays higher temperature in urban areas, compared to rural areas. Rural areas surrounding urban areas generate temperature differences. Land surface temperature consisting of two areas is leaded by the pattern of land use and land cover. A Land surface temperature is estimated, and are used as an index to evaluate urban heat island. Accumulated land surface temperature information from long-term studies could be important quantitative data to understand the progress and current situation in urban heat island. In this study, the Landsat thermal infrared sensors of the remote sensing satellite that cover from 1994 to 2015 are utilized to identify long-term changes of the surface urban heat island and its trends in the study area of Seoul, Korea. Each satellite image is used to measure surface temperature, and produce land cover/land use map simultaneously. However, atmospheric mutual responses produced in surface observation with optical satellite remote sensing cause inaccurate results affected by information contamination. In this study, the cosine approximation model atmospheric correction in visible and near infrared bands and single channel algorithm in thermal infrared band are conducted to secure valid information level in the process of surface urban heat island calculation. surface urban heat island in Seoul for 20 years was gradually increased from the results of this study. In case of especially celestial longitude classified from 45 to 120 in the period from May 5 to August 23 every year, surface urban heat island was increased from 2.51 to 3.98. It was identified that its incremental progress has high statistical correlations.

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