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Estimating Urban Temperature by Combining Remote Sensing Data and Terrain Based Spatial Interpolation Method

  • Journal of the Korean Cartographic Association
  • Abbr : JKCA
  • 2017, 17(2), pp.75-88
  • Publisher : The Korean Cartographic Association
  • Research Area : Social Science > Geography > Geography in general > Cartography
  • Published : August 31, 2017

Yim, Jongseo 1 Lee, Gunhak 1

1서울대학교

Accredited

ABSTRACT

Natural disasters in urban area are becoming very serious social problems due to the rapid weather changes. In this sense, it is quite important to obtain reliable weather data for effective prediction and response to natural environmental change in the city. This study suggests an alternative method of more accurate estimation focusing on the temperature among various weather factors in the city. In particular, we introduce a method of estimating urban temperature for improving spatial-temporal resolution and accuracy, by combining remotely sensed imagery data and terrain based spatial interpolation. As a result of analysis, each of estimating methods has its own advantage of showing the spatial variations of temperature, while the ranges of estimated temperature are similar. Especially, estimating results from remote sensing data only seem to be proper for representing the temperature variation according to land cover types, and the suggested estimating method has an advantage of representing the temperature variation with surface elevation. Regarding the accuracy of estimation, our method combining remote sensing data and terrain based spatial interpolation performs very well with relatively high accuracy. Overall, the suggested temperature estimation in this research is more accurate compared with other estimation methods, and is highly capable of representing the spatial variation of temperature with respect to land cover type and elevation over surface. Therefore, we expect that our method can be utilized for presenting continuous temperature values more accurately including temperature surface map.

Citation status

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