Estimating Urban Temperature by Combining Remote Sensing Data and Terrain Based Spatial Interpolation Method (원격탐사 자료와 지형 기반 공간 보간법을 결합한 도시 기온 추정)

Yim, Jongseo (임종서); Lee, Gunhak (이건학)

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.

KEYWORDS

Urban temperature, Spatial interpolation, Co-kriging, Remote sensing, Landsat 8, AWS

Citation status

* References for papers published after 2023 are currently being built.

[journal] 구자용 / 2012 / The Study on the Grid Size Regarding Spatial Interpolation for Local Climate Maps / 국토지리학회지 / 국토지리학회 46(4) : 489~500

[journal] 구자용 / 2014 / Development of Land Surface Temperature Map Generation Method with Landsat 8 TIRS Imagery and Automatic Weather System Data / 한국지도학회지 / 한국지도학회 14(1) : 17~27

[journal] 권영아 / 2006 / Analysis of Urban Thermal Environment Properties using Landsat ETM+ in Seoul / 한국도시지리학회지 / 한국도시지리학회 9(1) : 147~157

[journal] 박노욱 / 2008 / Mapping of Temperature and Rainfall Using DEM and Multivariate Kriging / 대한지리학회지 / 대한지리학회 43(6) : 1002~1015

[journal] 박숭환 / 2013 / An Efficient Method to Estimate Land Surface Temperature Difference (LSTD) Using Landsat Satellite Images / 대한원격탐사학회지 / 대한원격탐사학회 29(2) : 197~207

[journal] 박유민 / 2011 / Agriculture Location Analysis Using Kriging and Analytic Hierarchy Process (AHP) / 한국지도학회지 / 한국지도학회 11(2) : 75~90

[book] 이승호 / 2007 / 기후학 / 푸른길

[journal] 정재준 / 2013 / GIS-based Climate Map Making / 한국지도학회지 / 한국지도학회 13(2) : 55~66

[journal] 지준범 / 2014 / Analysis of Land Surface Temperature from MODIS and Landsat Satellites using by AWS Temperature in Capital Area / 대한원격탐사학회지 / 대한원격탐사학회 30(2) : 315~329

[journal] 홍기옥 / 2007 / Estimation of High Resolution Gridded Temperature Using GIS and PRISM / 대기 / 한국기상학회 17(3) : 255~268

[web] Anderson, S. / 2002 / An evaluation of spatial interpolation methods on air temperature in Phoenix, AZ / Department of Geography, Arizona State University / http://www.cobblestoneconcepts.com/ucgis2summer/anderson/anderson.htm

[journal] Baik, J. J. / 2007 / Effects of boundary-layer stability on urban heat island-induced circulation / Theoretical and Applied Climatology 89(1) : 73~81

[journal] Gillespie, A. / 1998 / A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images / IEEE Transactions on Geoscience and Remote Sensing 36(4) : 1113~1126

[journal] Huff, F. A. / 1986 / Urban hydrological review / Bulletin of the American Meteorological Society 67 : 703~712

[journal] Ishida, T. / 1993 / Use of cokriging to estimate surface air temperature from elevation / Theoretical and Applied Climatology 47(3) : 147~157

[journal] Li, Z. L. / 2013 / Satellitederived land surface temperature: Current status and perspectives / Remote Sensing of Environment 131 : 14~37

[journal] Liebhold, A. M. / 1993 / Geostatistics and geographic information systems in applied insect ecology / Annual Review of Entomology 38(1) : 303~327

[journal] Matheron, G. / 1973 / The intrinsic random functions and their applications / Advances in Applied Probability 5(3) : 439~468

[journal] Miao, S. / 2011 / Impacts of urban processes and urbanization on summer precipitation: a case study of heavy rainfall in Beijing on 1 August 2006 / Journal of Applied Meteorology and Climatology 50(4) : 806~825

[journal] Prihodko, L. / 1997 / Estimation of air temperature from remotely sensed surface observations / Remote Sensing of Environment 60(3) : 335~346

[journal] Ren, G. / 2008 / Urbanization effects on observed surface air temperature trends in North China / Journal of Climate 21(6) : 1333~1348

[journal] Shepherd, J.M. / 2005 / A review of current investigations of urban-induced rainfall and recommendations for the future / Earth Interactions 9(12) : 1~27

[journal] Stewart, I.D. / 2012 / Local climate zones for urban temperature studies / Bulletin of the American Meteorological Society 93(12) : 1879~1900

[journal] Suga, Y. / 2003 / Detection of surface temperature from Landsat-7/ETM+ / Advances in Space Research 32(11) : 2235~2240

[journal] Tatalovich, Z. / 2006 / A comparison of Thiessen polygon, kriging and spline models of potential UV exposure / Cartography and Geographic Information Science 33(3) : 217~231

[journal] Vidal, A. / 1991 / Atmospheric and emissivity correction of land surface temperature measured from satellite using ground measurements or satellite data / International Journal of Remote Sensing 12(12) : 2449~2460

[journal] Yang, J. S. / 2004 / Estimation of land surface temperature using spatial interpolation and satellite-derived surface emissivity / Journal of Environmental Informatics 4(1) : 40~47

[journal] Zhang, J. / 2006 / A C++ program for retrieving land surface temperature from the data of Landsat TM/ETM+ band6 / Computers & Geosciences 32(10) : 1796~1805

[web] / 기상자료개방포털 / http://data.kma.go.kr

[web] USGS / Landsat 8 Operational Land Imager and Thermal Infrared Sensor calibration notices / United States Geological Survey / http://landsat.usgs.gov/calibration_notices.php

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