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Analyzing the Relationship between Urban Patterns and Land Surface Temperature Using WorldView-2 and Landsat-ETM+

Analyzing the Relationship between Urban Patterns and Land Surface Temperature Using WorldView-2 and Landsat-ETM+
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摘要 Global climate destabilization as a result of the increased urbanization is one of today's most urgent issues. The detected urban heat island phenomenon in urbanized areas, combined with the decreased vegetation and the anthropogenic heat discharge, is an example of this climate change and in order to take proper actions to reduce this effect, the urban environmental analysis is more than necessary. This paper aims at analyzing and exploring the relationship between land uses of a densely populated urban area with the LST (land surface temperature) combining with WorldView-2 and Landsat ETM+ satellite imagery. The available thermal band of the Landsat image is used to extract surface temperatures of the study area on a hot summer day. Continuously, the high resolution satellite image of WorldView-2 is used for extracting the land uses. Zonal statistics were applied highlighting the zones with high and low average temperatures. Additional statistical tests (correlation analysis, analysis of variance-ANOVA, etc.) were applied, for evaluating the interaction between the temperature results with the land use types.
出处 《Journal of Earth Science and Engineering》 2014年第4期195-202,共8页 地球科学与工程(英文版)
关键词 Land use land surface temperature WorldView-2 urban heat island statistical analysis. 地球资源卫星 地表温度 城市模式 ETM TM卫星影像 陆地卫星影像 城市地区 土地用途
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  • 1C. Rinner, D. Patychuk, K. Bassil, S. Nasr, S. Gower, M.Campbell, The role of maps in neighborhood-level heat vulnerability assessment for the city of Toronto, Cartography and Geographic Information Science 37 (1) (2010) 31-44.
  • 2E. Wong, Reducing urban heat islands: Compendium of Strategies, Chapter I Draft Report, EPA-United States Environmental Protection Agency Website, http://www.epa.govlhirilresources/compendium.htm (accessed Mar. 24, 2014).
  • 3M.K. Hyung, K.K. Beob, S.Y. Kang, A statistic correlation analysis algorithm between land surface, International Journal of Information Processing Systems 1 (2005) 102-106.
  • 4J. Mallick, Y. Kant, B. Bharath, Estimation ofland surface temperature over Delhi using Landsat-7 ETM+, J. Ind. Geophys. Union 12 (2008) 131-140.
  • 5R. Hamdi, Estimating urban heat island effects on the temperature series of uccle (brussels, belgium), using remote sensing data and land surface scheme, Remote Sensing 2 (2010) 2773-2784.
  • 6C. Rinner, M. Hussain, Toronto's urban heat island-exploring the relationship between land use and surface temperature, Remote Sensing 3 (2011) 1251-1265.
  • 7Digital Globe Home Page, http//www.digitalglobe.com. http://www.digitalglobe.com/index. php/48/Products?prod uct jd=27 (accessed Mar. 24, 2014).
  • 8S.N. Gowardand, D.L. Williams, Landsat and earth systems science: Development of terrestrial monitoring, Photogrammetric Engineering & Remote Sensing 63 (7) (1997) 887-900.
  • 9The United States Geological Survey Home Page, http://www.usgs.gov/ (accessed Mar. 24, 2014).
  • 10A. Stamou, P. Patias, A. Papadopoulos, I. Theodoridou, Study and analysis of WorldView-2 satellite imagery for evaluating the energy efficiency of the urban area of Kalamaria, Greece, South-Eastern European Journal of Earth Observation and Geomatics 1 (1) (2012) 41-54.

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