Please wait a minute...
img

官方微信

遥感技术与应用  2010, Vol. 25 Issue (1): 8-14    DOI: 10.11873/j.issn.1004-0323.2010.1.8
研究与应用     
基于TM影像的城市热岛效应监测与预测分析
盛辉,万红,崔建勇,郭鹏
中国石油大学(华东)地球资源与信息学院,山东 青岛266555
Urban Heat Island Effect Study and Pridiction Analysis Based on Landsat TM Data
SHENG Hui,WAN Hong,CUI Jian-yong,GUO Peng
College of Geo-resources and Information,China University of Petroleum (East China),Qingdao 266555,China
 全文: PDF(3520 KB)  
摘要:

近些年,随着城市建设的高速发展,热岛效应也越来越被人们所重视。采用1999年、2005年、2009年的TM遥感影像,分析了东营市的热岛效应时空演化规律并应用马尔科夫模型对其未来发展趋势进行了预测。研究发现:东营市热岛效应明显且稳定存在,热岛中心主要分布在西城区、东城区人口密度大以及工业区聚集的地方,植被和水体有减弱热岛效应的作用。随着城市的扩展,热岛区分布变广,呈现小而广的分布状态,且随着城市注重环境治理和注重绿化,未来10年东营市热岛效应有减弱的趋势,但是速度较慢。

关键词: 遥感/城市热岛效应Landsat亮温马尔科夫模型    
Abstract:

Recently,along with the fast\|developing urban construction,the urban heat effect (UHI) has caught great attention.Using the Landsat TM images which were obtained on 1999,2005 and 2009,the evolution of the urban heat island distribution in Dongying city are analyzed and future tendency of urban heat island are predicted,following the Markov Model in this paper.The result showed that the UHI in Dongying city was obvious and existed steadily,the centers of UHI present to the Xicheng district,Dongcheng district,which are all the densely inhabited district and industrial park gathering,vegetation and water have reduced the role of heat island effect with the developing of urban expanding,the distributing of heat island become wide ,besides the distributing show a small and wide.With the urban pay more attention to environmental governace and urban greening,the trend of Dongying heat island effect has weakened in the next decade,but the speed is slow.

Key words:  RS    Urban Heat Island Effect    Land sat    Brightness temperature    Markov model
收稿日期: 2009-03-24 出版日期: 2011-11-04
通讯作者: 盛辉 Email :Shenghui@mail.hdpu.edu.cn   
作者简介: 盛辉(1972-),男,副教授,博士研究生,主要从事摄影测量与遥感、GIS 方面的教学与研究工作。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
盛辉
万红
崔建勇
郭鹏

引用本文:

盛辉, 万红, 崔建勇, 郭鹏. 基于TM影像的城市热岛效应监测与预测分析[J]. 遥感技术与应用, 2010, 25(1): 8-14.

SHENG Hui, WAN Hong, CUI Jian-yong, GUO Peng. Urban Heat Island Effect Study and Pridiction Analysis Based on Landsat TM Data. Remote Sensing Technology and Application, 2010, 25(1): 8-14.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2010.1.8        http://www.rsta.ac.cn/CN/Y2010/V25/I1/8

[1]Peng Shaolin,Zhou Kai,Ye Youhua,et al.Research Progress in Urban Heat Island[J].Ecology and Environmental Sciences,2005,14(4):574-579.[ 彭少麟,周凯,叶有华,等.城市热岛效应研究进展[J].生态环境,2005,14(4):574-579.]

 

[2]Howard L.Climate of London Deduced from Metrological Obser-vations[M].3rd Edition.London:Harvey and Dorton Press,1833:348.

[3]Mnaley G.On the Frequency of Snowfall in Metropolitan England[J].Quarterly Journal of the Royal Meteorological Society,1958,84:70-72.

 

[4]Hu Hualang,Chen Yunhao,Gong Adu.Advances in the Application of Remotely Sensed Data to the Study of Urban Heat Island[J].Remote Sensing for Land & Resources,2005,(6):52-91.[胡华浪,陈云浩,宫阿都.城市热岛的遥感研究进展[J].国土资源遥感,2005,(6):52-91.]

[5]Yang Yingbao,Su Weizhong,Jiang Nan.Application of Remote Sensing to Study Urban Heat Island Effect[J].Geography and Geo-information Science,2006,22(5):362-401.[杨英宝,苏伟忠,江南.基于遥感的城市热岛效应研究[J].地理与地理信息科学,2006,22(5):362-401.]

 

[6]Peng Jing,Liu Weidong,Long Buju,et al.A Study of the Urban Heat Island of Beijing Based on Remote Sensing Images[J].Progress in Geophysics,2007,22(6):1942-1947.[彭静,刘伟东,龙不菊,等.北京城市热岛的时空变化分析[J].地球物理学进展,2007,22(6):1942-1947.]

[7]Wang Wenjie,Shen Wenming,Liu Xiaoman,et al.Research on the Relation of the Urbanization and Urban Heat Island Effect Changes in Beijing Based on Remote Sensing[J].Research of Environmental Sciences,2006,19(2):44-48.[王文杰,申文明,刘晓曼,等.基于遥感的北京市城市化发展与城市热岛效应变化关系研究[J].环境科学研究,2006,19(2):44-48.]

 

[8]Tang Xi,Shu Jiong,Yue Qun.Relationship between Vegetation and Urban Heat-island Effect in Shanghai[J].Journal of East China Normal University(Natural Science),2008,1:119-128.[唐曦,束炯,乐群.基于遥感的上海城市热岛效应与植被的关系研究[J].华东师范大学学报(自然科学版),2008,1:119-128.]

 [9]Zhao Lili,Zhao Yunsheng,Dong Guihua.Study on Hot Land in Guangzhou Based on ETM+[J].Environmental Monitoring in China,2006,22(3):59-63.[赵丽丽,赵云升,董贵华.基于ETM+遥感影像的城市热岛效应监测技术研究.中国环境监测,2006,22(3):59-63.]

 

[10]Chen Feng,He Baoyin,Long Zhanyong,et al.A Spatial Analysis of Urban Heat Island and Underlying Surface Using Landsat ETM+[J].Remote Sensing for Land & Resources,2008,2:56-61.[陈峰,何报寅,龙占勇.利用Landsat ETM+分析城市热岛与下垫面的空间分布关系[J].国土资源遥感,2008,2:56-61.]

[11]Yang Yingbao,Su Weizhong,Jiang Nan,et al.Spatial-temporal Characteristics of Urban Heat Island Effect Change of Nanjing City and Its Relation with Land Use Change[J].Geographical Research,2007,26(5):877-886.[杨英宝,苏伟忠,江南.南京市热岛效应变化时空特征及其与土地利用变化的关系[J].地理研究,2007,26(5):877-886.]

 

[12]Chen Gongde,Xu Jianhua,Dai Xiaoyan,et al.Applying Geo-data Mining to Analysis Spatial Variance Characters of Urban Land Surface Temperature[J].Romote Sensing Technology and Application,2008,23(4):405-409.[陈公德,徐建华,戴晓燕,等.运用遥感数据挖掘解析城市地表温度的空间变异规律[J].2008,23(4):405-409.]

[13]Chen Yunhao,Gong Adu,Li Jing.Study of Urban Thermal Environment Using Remote Sensing Data Based on Radiation Normalization[J].Journal of China University of Mining & Technology,2006,35(4):462-467.[陈云浩,宫阿都,李京.基于地表辐射亮温标准化的城市热环境遥感研究[J].中国矿业大学学报,2006,35(4):462-467.]

 

[14]Geng Qinglong,Chen Shujiang,Wei Zhenzhen,et al.Research and Analysis of Urban Heat Island Effect Change Based on Relative Temperature Index[J].Remote Sensing Technology and Application,2007,22(5):618-621.[耿庆龙,陈蜀江,魏真真,等.基于RIT的城市热岛效应变化分析研究--乌鲁木齐市为例[J].遥感技术与应用,2007,22(5):618-621.]

[15]Qiu Jian,Jia Liuqiang,Wang Yong.Spacial Correlation between Heat Island and Green Space in Qingdao City Based on Remote Sensing[J].Journal of Southwest JiaoTong University,2008,43(4):427-433.[邱建,贾刘强,王勇.基于遥感的青岛市热岛与绿地的空间相关性[J].西南交通大学学报,2008,43(4):427-433.]

 

[16]Weng Qihao,Lu Dengsheng,Jacquelyn Schubring.Estimation of Land Surface Temperature-vegetation Bundance Relationship for Urban Heat Island Studies[J].Remote Sensing of Environment,2004,89:497-486.

[17]Griend A A,Owen.On the Relationship between Thermal Imissivity and the Normalized Difference Vegetation Index for Nature Surfaces[J].International Journal of Remote Sensing,1993,14(6):1119-1131.

 

[18]Qin Zhihao,Li Wenjuan,Xu Bin.The Estimation of Land Surface Emissivity for Landsat TM6[J].Remote Sensing for Land & Resources,2004,3:28-41.[覃志豪,李文娟,徐斌,等.陆地卫星TM6波段范围内地表比辐射率的估计[J].国土资源遥感,2004,3:28-41.]

[19]Wang Xuelei,Wu Yijin.The Application of the Markov Model on the Dynamic Change of Wetland Landscape Pattern in Four-lake Area[J].Journal of Huazhong Agricultural University,2002,21(3):288-292.[王学雷,吴宜近.马尔科夫模型在四湖地区湿地景观变化研究中的应用[J].华中农业大学学报,2002,21(3):288-292.]

 

[20]Bian Yanhui,Zhang Guanghui,Bao Hongfu,et al.Study on Honghe Wetland Landscape Change Using Markov Model[J].Journal of Northeast Agricultural University,2008,39(3):53-57.[边延辉,张光辉,包洪福,等.马尔科夫模型在洪河湿地景观变化研究中的应用[J].东北农业大学学报,2008,39(3):53-57.]

[21]Xu Hanqiu,Chen Benqing.An Image Processing Technique for the Study of Changes Using Different Seasonal Remote Urban Heat Island Sensing Data[J].Remote Sensing Technology and Application,2003,18(3):129-133.[徐涵秋,陈本清.不同时相的遥感热红外图像在研究城市热岛变化中的处理方法[J].遥感技术与应用,2003,18(3):129-133.]

 

[22]Xu Hanqiu.Fast Information Extraction of Urban Built-up Land Based on the Analysis of Spectral Signature and Normalized Difference Index[J].Geographical Research,2005,24(2):311-320.[徐涵秋.基于谱间特征和归一化指数分析的城市建筑用地信息提取[J].地理研究,2005,24(2):311-320.]

[23]Jia Haifeng,Liu Xuehua.The Principle of Environmental Remote Sensing and Its Applications[M].Beijing:Tsinghua University press,2006.[贾海峰,刘雪华.环境遥感原理与应用[M].北京:清华大学出版社,2006.]
[1] 汪子豪,秦其明,孙元亨. 基于BP神经网络的地表温度空间降尺度方法[J]. 遥感技术与应用, 2018, 33(5): 793-802.
[2] 李军,龚围,辛晓洲,高阳华. 重庆地表温度的遥感反演及其空间分异特征[J]. 遥感技术与应用, 2018, 33(5): 820-829.
[3] 金点点,宫兆宁. 基于Landsat 系列数据地表温度反演算法对比分析—以齐齐哈尔市辖区为例[J]. 遥感技术与应用, 2018, 33(5): 830-841.
[4] 韩涛,潘剑君,张培育,曹罗丹. Sentinel-2A与Landsat-8影像在油菜识别中的差异性研究[J]. 遥感技术与应用, 2018, 33(5): 890-899.
[5] 施佩荣,陈永富,刘华,吴云华. 基于分割评价函数的多尺度分割参数的选择[J]. 遥感技术与应用, 2018, 33(4): 628-637.
[6] 李晨伟,张瑞丝,张竹桐,曾敏 . 基于多源遥感数据的构造解译与分析—以西藏察隅吉太曲流域为例[J]. 遥感技术与应用, 2018, 33(4): 657-665.
[7] 卢惠敏,李飞,张美亮,杨刚,孙伟伟. 景观格局对杭州城市热环境年内变化的影响分析[J]. 遥感技术与应用, 2018, 33(3): 398-407.
[8] 钟函笑,边金虎,李爱农. Landsat-8 OLI与Sentinel-2 MSI山区遥感影像辐射一致性研究[J]. 遥感技术与应用, 2018, 33(3): 428-438.
[9] 史新,周买春. 基于Landsat 8数据的3种地表温度反演算法在三河坝流域的对比分析[J]. 遥感技术与应用, 2018, 33(3): 465-475.
[10] 侯海艳,侯金,黄春林,王昀琛. 基于人工神经网络和AMSR2多频微波亮温的北疆地区雪深反演[J]. 遥感技术与应用, 2018, 33(2): 241-251.
[11] 李珊珊,蒋耿明. 基于通用分裂窗算法和Landsat-8数据的地表温度反演研究[J]. 遥感技术与应用, 2018, 33(2): 284-295.
[12] 张宜振,韩震,朱情逸,王艺晴,胡旭冉. 不同季节海面风矢量对海表面亮温增益的影响研究[J]. 遥感技术与应用, 2018, 33(2): 331-336.
[13] 赵航,陈方, 张美美. 基于改进C-V模型的冰湖轮廓提取方法研究[J]. 遥感技术与应用, 2018, 33(1): 177-184.
[14] 张雅,尹小君,王伟强. 基于Landsat 8 OLI遥感影像的天山北坡草地地上生物量估算[J]. 遥感技术与应用, 2017, 32(6): 1012-1021.
[15] 扎西央宗,李林,卓玛,冯岩,李学东,白玛央宗. 西藏年楚河流域冰川变化监测方法研究[J]. 遥感技术与应用, 2017, 32(6): 1126-1131.