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+
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.
参考文献13
-
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.
-
1毛赞猷.用陆地卫星影像编制专题地图[J].地图,1991(1):38-42.
-
202星传回首批数据 将为国土资源工作提供更准确的信息[J].浙江国土资源,2004(3):18-18.
-
3知识窗[J].海洋信息,2004(1):29-30.
-
4刘秉泰,刘春艳.大庆市城市结构模式转型及其驱动力研究[J].大庆师范学院学报,2005,25(2):29-32. 被引量:2
-
5刘海军,刘登忠,何武,徐争强.可可西里盆地构造信息的遥感提取[J].安徽农业科学,2009,37(19):9243-9246.
-
6杨国良.华中区自然景观分类研究[J].四川师范学院学报(自然科学版),1999,20(3):245-249. 被引量:3
-
7我国完成最新遥感图:湿地总面积减少[J].资源与人居环境,2010(12):53-53.
-
8田浩,蒋理兴,时三帅,张强.多源遥感影像融合技术及其在更新土地利用数据库中的应用[J].测绘工程,2005,14(1):67-69. 被引量:5
-
9陈立标,于广深,王福星,张岩,李宗领,赵连清.河北省沿坝地区土地沙化动态试验研究[J].河北林业科技,2001(2):1-6.
-
10我国完成最新湿地遥感制图[J].大众科技,2010(6):3-4.