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Remote Sensing Technology and Application  2015, Vol. 30 Issue (5): 868-875    DOI: 10.11873/j.issn.1004-0323.2015.5.0868
    
Urban Heat Environment and Surface Energy Balance Analysis of Xi an based on LDCM Remote Sensing
Li Yao,Pan Jinghu,Luo Jing
(College of Geographic and Environmental Science,Northwest Normal University,Lanzhou 730070,China)
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Abstract  

Based on Landsat8 image on August 15,2014,this study estimated the land surface temperature(LST)of Xi an City by the method of split-window algorithm.Then quantitatively estimated the scope of urban heat island.Besides,Estimated a variety of surface energy component based on the surface energy balance equation.The results show that:① Urban heat island of Xian central areas mainly distributed in densely inhabited district,populated area and business-intensive areas,economic and technological development zones with less vegetation cover;② Thermal and bowen ratio was positively related to surface temperature,anthropogenic heat and temperature were not significantly correlated,net radiation and latent heat were significantly negatively correlated to the surface temperature;③In the structure of the surface energy of the urban heat island,differences in sensible heat and latent heat mainly caused the differences in the urban heat island.

Key words:  Thermal environment      Split-window algorithm      Urban heat islands      Energy balance equation      Xi an     
Received:  14 September 2014      Published:  08 December 2015
TP 79  
Fund: 

李瑶(1989-),女,甘肃兰州人,硕士研究生,主要从事生态遥感与GIS应用研究。Email:liyao.nwnu@163.com

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Li Yao,Pan Jinghu,Luo Jing. Urban Heat Environment and Surface Energy Balance Analysis of Xi an based on LDCM Remote Sensing. Remote Sensing Technology and Application, 2015, 30(5): 868-875.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2015.5.0868     OR     http://www.rsta.ac.cn/EN/Y2015/V30/I5/868



[1]Hu Juyang,Tang Shihao,Dong Lixin.Land Surface Temperature Retrieval from FY3A/MERSI[J].Remote Sensing Technology and Application,2014,29(4):531-538.[胡菊旸,唐世浩,董立新.FY3A/MERSI地表温度反演[J].遥感技术与应用,2014,29(4):531-538.]

[2]Xu Hanqiu.Retrieval of the Reflectance and Land Surface Temperature of the Newly-Launched Landsat 8 Satellite[J].Chinese Journal of Geophysics(in Chinese),2015,58(3):741-747.[徐涵秋.新型Landsat8卫星影像的反射率和地表温度反演[J].地球物理学报,2015,58(3):741-747.]

[3]Miao S G,Dou J X,Chen F,et al.Analysis of Observations on the Urban Surface Energy Balance in Beijing[J].Science China Earth Sciences,2012,55(11):1881-1890.

[4]Jiang Lei,Li Nana,Ji Mingxia,et al.New Progress in Research on Town Surface Energy Balance Schemes[J].Journal of Lanzhou University (Natural Sciences),2013,49(4):483-490.[蒋磊,李娜娜,季明霞,等.城市地表能量平衡方案研究的新进展[J].兰州大学学报(自然科学版),2013,49(4):483-490.]

[5]Wang Chenggang,Sun Jianning,Hu Fei,et al.Observation and Analysis of the Characteristics of Urban Concrete Surface Energy Balance[J].Journal of Nanjing University(Natural Sciences),2007,43(3):270-279.[王成刚,孙鉴泞,胡非,等.城市水泥下垫面能量平衡特征的观测与分析[J].南京大学学报(自然科学版),2007,43(3):270-279.]

[6]Zhang Xuyang,Ning Haiwen,Du Jiwen,et al.The Impact of Urban Heat Island Effect on High Temperature in Summer in Xian[J].Journal of Arid Land Resources and Environment,2010,24(1):95-101.[张旭阳,宁海文,杜继稳,等.西安城市热岛效应对夏季高温的影响[J].干旱区资源与环境,2010,24(1):95-101.]

[7]NASA.LDCMLaunch[EB/OL].http://www.nasa.gov/mission_pages/landsat/launch/index.html.2013.

[8]Jiang Gaozhen,Han Bin,Gao Yingbo,et al.Review of 40- Year Earth Observation with Landsat Series and Prospects of LDCM[J].Journal of Remote Sensing,2013,17(5):1034-1047.[姜高珍,韩冰,高应波,等.Landsat系列卫星对地观测40年回顾及LDCM前瞻[J].遥感学报,2013,17(5):1034-1047.]

[9]Qin Zhihao.Split Window Algorithms for Retrieving Land Surface Temperature from NOAA-AVHRR Data[J].Remote Sensing for Land & Resources,2001,(2):34-41.[覃志豪.用NOAA-AVHRR热通道数据演算地表温度的劈窗算法[J].国土资源遥感,2001,(2):34-41.]

[10]Rozenstein O,Qin Z H,Dermian Y,et al.Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm[J].Sensors,2014,14:5768-5780.

[11]Li Yao,Pan Jinghu.Spatial Pattern On Urban Heat Environment Using Split Window Algorithm and Spectral Mixture Analysis based on Landsat 8 Images——A Case Study in Lanzhou[J].Arid Land Geograph,2015,38 (1):111-119.[李瑶,潘竟虎.基于Landsat 8劈窗算法与混合光谱分解的城市热岛空间格局分析——以兰州市中心城区为例[J].干旱区地理,2015,38 (1):111-119.]

[12]Chen Hanyue,Niu Zheng,Bi Haibo.A Comparison of Two Split- Window Algorithms for Retrieving Land Surface Temperature from MODIS Data[J].Remote Sensing Technology and Application,2013,28(2):174-181.[陈瀚阅,牛铮,毕海波.MODIS数据地表温度反演劈窗算法比较[J].遥感技术与应用,2013,28(2):174-181.]

[13]Gao Maofang,Qin Zhihao,Xu Bin.Estimation of the Basic Parameters for Deriving Surface Temperature from MODIS Data[J].Arid Zone Research,2007,24(1):113-119.[高懋芳,覃志豪,徐斌.用MODIS数据反演地表温度的基本参数估计方法[J].干旱区研究,2007,24(1):113-119.]

[14]Pan Jinghu,Yang Wangming.Spatiotemporal Pattern of Urban Heat Island in Lanzhou of Northwest China based on Fractal Net Evolution Approach and Spectral Mixture Analysis[J].Chinese Journal of Ecology,2013,32(1):178-185.[潘竟虎,杨旺明.基于分型网络演化算法和混合光谱分解的兰州市中心城区热岛的时空格局[J].生态学杂志,2013,32(1):178-185.]

[15]Xiao Jieying,Zhang Qian,Wang Yan,et al.Urban Surface Heat Flux Analysis based on Remote Sensing:A Case Study of Shijiazhuang City[J].Scientia Geographica Sinica,2014,34(3):338-343.[肖捷颖,张倩,王燕,等.基于地表能量平衡的城市热环境遥感研究——以石家庄市为例[J].地理科学,2014,34(3):338-343.]

[16]Li Baofu,Chen Yaning,Li Weihong,et al.Remote Sensing and the SEBAL Model for Estimating Evapotranspiration in the Tarim River[J].Acta Geographica Sinica,2011,66(9):1230-1238.[李宝富,陈亚宁,李卫红,等.基于遥感和SEBAL模型的塔里木河干流区蒸散发估算[J].地理学报,2011,66(9):1230-1238.]

[17]Voogt J A,Grimmond C S B.Modeling Surface Sensible Heat Flux Using Surface Radiative Temperatures in a Simple Urban Area[J].Journal of Applied Meteorology,2000,39:1679-1699.

[18]Allen R G,Pereira L S,Raes D,et al.Crop Evapotranspiration Guidelines for Computing Crop Water Requirements[M].Rome:FAO Irrigation and Drainage Paper,1998:300.

[19]Liang Youjia,Xu Zhongmin.Estimation of FAO Penman Monteith Model in the Middle Reaches of Heihe River based on System Dynamics[J].Pastcultral Science,2011,28(10):18\|26.[梁友嘉,徐中民.基于系统动力学的黑河中游地区FAO Penman\|Monteith模型评价研究[J].草业科学,2011,28(10):18\|26.]

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