[1]李 军,赵 彤,朱 维,等.基于Landsat8的重庆主城区城市热岛效应研究[J].山地学报,2018,(03):452-461.[doi:10.16089/j.cnki.1008-2786.000341]
　LI Jun,ZHAO Tong,ZHU Wei,et al.Urban Heat Island Effect Based on Landsat8 Image in Urban Districts of Chongqing, China[J].Mountain Research,2018,(03):452-461.[doi:10.16089/j.cnki.1008-2786.000341]
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基于Landsat8的重庆主城区城市热岛效应研究()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2018年03期
页码:
452-461
栏目:
山地技术
出版日期:
2018-05-30

文章信息/Info

Title:
Urban Heat Island Effect Based on Landsat8 Image in Urban Districts of Chongqing, China
文章编号:
1008-2786-(2018)3-452-10
作者:
李 军1; 2; 3; 赵 彤1; 朱 维1; 罗玉岚1
1.重庆师范大学 地理与旅游学院,重庆401331; 2.重庆市高校 GIS 应用研究重点实验室,重庆401331; 3.三峡库区地表过程与环境遥感重庆市重点实验室,重庆401331
Author(s):
LI Jun1; 2; 3; ZHAO Tong1; ZHU Wei1; LUO Yulan1
1.College of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China; 2.Key Laboratory of GIS Application of Chongqing, Chongqing 401331,China; 3.Chongqing Key Laboratory of Earth Surface Processes and Environmental Remote Sensing in
关键词:
地表温度;  Landsat8;  城市热岛效应;  劈窗算法
Keywords:
land surface temperature;  Landsat8;  urban heat island effect;  split-window algorithm
分类号:
P237; TP79
DOI:
10.16089/j.cnki.1008-2786.000341
文献标志码:
A
摘要:
重庆作为长江上游重要的经济发展中心城市,随着城市化的加剧,城市热岛效应已引起了广泛关注。本文利用了2014年夏季 Landsat8影像和劈窗算法,根据研究区夏季大气含水量高的特点,订正了大气透过率参数,实现了重庆主城区地表温度的遥感反演,并与卫星过境时间接近的4个气象站点的实测0 cm土壤温度对反演结果进行比较。基于遥感反演的地表温度结果分析了主城区城市热岛效应的空间分布格局及其与不同土地利用类型之间的关系。结果表明:(1)基于Landsat8影像和劈窗算法的遥感反演地表温度在重庆主城区是可行的,平均误差为1.1℃;(2)受不同土地利用和“两江四山夹三槽”特殊地形等因素的影响,重庆主城区的城市热岛强度呈现出显著的空间分布差异,较强热岛以上区域约占总面积的11.55%,其中,建设用地区域明显高于其他土地利用类型,约占总面积的9.11%,无热岛和弱热岛区域分别占总面积的62.66%和19.98%,主要为耕地和林地。
Abstract:
As an important economic center city on the upper reaches of the Yangtze River in western China, Chongqing is also rapidly urbanizing.The effect of urbanization on the urban thermal environment has attracted increasing research attention for its significant relationship to local habitat comfort.In order to study on urban heat island effect in Chongqing in recent years, the land surface temperature in urban districts of Chongqing was firstly retrieved by using split-window algorithm and Landsat8 data on July 30, and August 6, 2014.Moreover, according to the characteristics of high atmospheric water content in summer in urban districts of Chongqing, the atmospheric transmittance were adjusted.The retrieved land surface temperatures were compared with the 0 cm soil temperatures observed by 4 meteorological stations.Then the spatial distribution of the urban heat island effect in urban districts of Chongqing and its quantificational relation with land use were analyzed.Results showed that:(1)the scheme proposed in our work to retrieve land surface temperature from Landsat8 data in urban districts of Chongqing was acceptable.The mean bias of the retrieved land surface temperature was 1.1℃.(2)Influenced by landuse, special terrain topography like “two rivers, four mountains with three slots” and etc., the spatial distribution of heat island intensity in urban districts of Chongqing showed significant differences.The strong heat island zone was occupied over 11.55% and it was mainly distributed in the built-up area, occupied 9.11%.No heat island and weak heat island mainly appeared in the cultivated land and forest, occupied 62.66% and 19.98% respectively.

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备注/Memo

备注/Memo:
收稿日期(Received date):2017-06-19; 改回日期(Accepted date):2018-06-14
基金项目(Foundation item):重庆市前沿与应用基础研究计划一般项目(cstc2015jcyjA0332); 重庆市社会民生科技创新专项项目(cstc2015shmszx00010); 中国科学院重点部署项目(KZZD-EW-TZ-18)。[Chongqing Fontier and Applied Basic Research Program(cstc2015jcyjA0332); Social Science and Technology Innovation Project of Chongqing(csct2015shmszx00010); Key Research Program of the Chinese Academy of Sciences(KZZD-EW-TZ-18)]
作者简介(Biography):李军(1974-),男,博士,副研究员,主要研究方向:农业遥感和地理信息系统应用研究。[LI Jun(1974-), Ph.D., associate professor, research on agricultural remote sensing, geographic information system and its application] E-mail: junli@cqnu.edu.cn
更新日期/Last Update: 2018-05-30