基于Landsat 8卫星OLI影像的滁州市城市热岛效应分析
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摘要
以2013年8月11日Landsat 8影像为数据源,以ENVI5.1遥感软件为平台,对安徽省滁州市城市热岛效应进行分析.首先采用单窗算法对Landsat 8影像热红外波段进行热辐射亮度和地表亮度温度反演,并对亮度温度进行归一化处理;其次按等差级数将滁州市热岛效应分为强绿岛区、绿岛区、正常区、热岛区和强热岛区;最后在此基础上对滁州市城市热岛效应时、空分布规律进行研究.结果表明:(1)滁州市市区地表温度明显高于郊区,市中心温度最高,城市热岛效应显著.(2)研究区内强热岛区和热岛区主要分布在市区建成区,占研究区面积的5%;强绿岛区和绿岛区主要分布在郊区和农村附近,占研究区面积的78%.(3)研究成果可为滁州市城市建设和城市规划提供参考.
This article used the image of the Landsat-8 on 11 th,August 2013 as the data source and the ENVI 5. 1( Remote Sensing Software) as the platform to analyze the urban heat island effect of Chuzhou City in Anhui Province. First of all,the mono- window algorithm method was used to invert the thermal radiation brightness temperature and the surface brightness temperature with the thermal infrared band image of the Landsat- 8,and the surface brightness temperature was concentrated. Besides,the urban heat island effect into the strong green island zone,green island zone,normal zone,heat island zone and strong heat island zone were devided. Finally,the spatial and temporal distribution of the urban heat island effect in Chuzhou City was analyzed. The results showed that firstly,the surface temperature was significantly higer than the surbub,the highest temperature was in the city center and the urban heat island effect was significant. Secondly,the strong heat island zone and the heat island zone were mainly distributed in the built-up area of the city,occupied the 5% of the study area,while the strong green island zone and green island zone were mainly distributed in the surbubs and nearby the rural,occupied the 78% of the study area. Finally,the research results,to some extent,could provide some references for Chuzhou City in urban construction and urban planning.
This article used the image of the Landsat-8 on 11 th,August 2013 as the data source and the ENVI 5. 1( Remote Sensing Software) as the platform to analyze the urban heat island effect of Chuzhou City in Anhui Province. First of all,the mono- window algorithm method was used to invert the thermal radiation brightness temperature and the surface brightness temperature with the thermal infrared band image of the Landsat- 8,and the surface brightness temperature was concentrated. Besides,the urban heat island effect into the strong green island zone,green island zone,normal zone,heat island zone and strong heat island zone were devided. Finally,the spatial and temporal distribution of the urban heat island effect in Chuzhou City was analyzed. The results showed that firstly,the surface temperature was significantly higer than the surbub,the highest temperature was in the city center and the urban heat island effect was significant. Secondly,the strong heat island zone and the heat island zone were mainly distributed in the built-up area of the city,occupied the 5% of the study area,while the strong green island zone and green island zone were mainly distributed in the surbubs and nearby the rural,occupied the 78% of the study area. Finally,the research results,to some extent,could provide some references for Chuzhou City in urban construction and urban planning.
引文
[1]盛辉,万红,崔建勇.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.
[2]白杨,王晓云,姜海梅,等.城市热岛效应研究进展[J].气象与环境学报,2013,29(2):101-106.
[3]覃志豪,ZHANG M H,ARNON K,等.用陆地卫星TM6数据演算地表温度的单窗算法[J].地理学报,2001,56(4):457-466.
[4]贾宝全,邱尔发.基于TM卫星遥感影像的西安市城市热岛效应变化分析[J].干旱区研究,2013,30(2):347-355.
[5]彭少麟,叶有华.城市热岛效应对城市规划的影响[J].中山大学学报(自然科学版),2007,46(5):59-63.
[6]赵红旭.昆明市热岛效应卫星监测研究[J].国土资源遥感,1999,45(4):29-33.
[7]朱焱,杨金彪,朱连芳,等.苏州程式化进程与城市气候变化关系研究[J].气象科学,2012,32(3):317-324.
[8]高红燕,蔡新玲,贺皓,等.西安城市化对气温变化趋势的影响[J].地理学报,2009,64(9):1093-1102.
[9]张明湖,李鹏山,苏珊,等.海口市滨海旅游区LUCC变化趋势预测[J].海南师范大学学报(自然科学版),2010,23(2):198-203.
[10]李福建,马安青,丁原东,等.基于Landsat数据的城市热岛效应研究[J].遥感技术与应用,2009,24(4):553-558.
[11]TRAN H,DAISUKE U,SHIRO O,et al.Assessment with satellite data of the urban heat island effects in Asian mega cities[J].International Journal of Applied Earth Observation and Geoinformation,2006,38(4):34-48.
[12]RAO P K.Remote Sensing of Urban Heat Islands from an Environmental Satellite[J].Bulletin of the American Meteorological Society,1972,53(5):647-648.
[13]徐涵秋.基于城市地表参数变化的城市热岛效应分析[J].生态学报,2011,31(14):3890-3901.
[14]方刚.基于Landsat 8卫星影像和地表参数的宿州市城市热岛效应分析[J].土壤通报,2014,45(5):1241-1246.
[2]白杨,王晓云,姜海梅,等.城市热岛效应研究进展[J].气象与环境学报,2013,29(2):101-106.
[3]覃志豪,ZHANG M H,ARNON K,等.用陆地卫星TM6数据演算地表温度的单窗算法[J].地理学报,2001,56(4):457-466.
[4]贾宝全,邱尔发.基于TM卫星遥感影像的西安市城市热岛效应变化分析[J].干旱区研究,2013,30(2):347-355.
[5]彭少麟,叶有华.城市热岛效应对城市规划的影响[J].中山大学学报(自然科学版),2007,46(5):59-63.
[6]赵红旭.昆明市热岛效应卫星监测研究[J].国土资源遥感,1999,45(4):29-33.
[7]朱焱,杨金彪,朱连芳,等.苏州程式化进程与城市气候变化关系研究[J].气象科学,2012,32(3):317-324.
[8]高红燕,蔡新玲,贺皓,等.西安城市化对气温变化趋势的影响[J].地理学报,2009,64(9):1093-1102.
[9]张明湖,李鹏山,苏珊,等.海口市滨海旅游区LUCC变化趋势预测[J].海南师范大学学报(自然科学版),2010,23(2):198-203.
[10]李福建,马安青,丁原东,等.基于Landsat数据的城市热岛效应研究[J].遥感技术与应用,2009,24(4):553-558.
[11]TRAN H,DAISUKE U,SHIRO O,et al.Assessment with satellite data of the urban heat island effects in Asian mega cities[J].International Journal of Applied Earth Observation and Geoinformation,2006,38(4):34-48.
[12]RAO P K.Remote Sensing of Urban Heat Islands from an Environmental Satellite[J].Bulletin of the American Meteorological Society,1972,53(5):647-648.
[13]徐涵秋.基于城市地表参数变化的城市热岛效应分析[J].生态学报,2011,31(14):3890-3901.
[14]方刚.基于Landsat 8卫星影像和地表参数的宿州市城市热岛效应分析[J].土壤通报,2014,45(5):1241-1246.
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