基于陆地卫星影像的洛阳市城区地表温度反演研究
Inversion Study of Urban Surface Temperature in Luoyang City Based on Landsat Images
王江丽 1张明刚 2杨晓涵 3朱茂超3
作者信息
- 1. 河南科技大学土木建筑学院,河南洛阳 471003;建筑安全与环境国家重点实验室,北京 100013;河南科技大学建筑能源与热科学技术研究所,河南洛阳 471003;河南省建筑环境控制与安全工程研究中心,河南洛阳 471003
- 2. 西南交通大学建筑学院,成都 610000
- 3. 河南科技大学土木建筑学院,河南洛阳 471003
- 折叠
摘要
为了研究洛阳城市发展与城市热岛之间的关系,以近 20 年城区地表温度为研究对象,以陆地卫星(Landsat)卫星遥感数据作为数据源,通过温度反演方法研究 4 个时期地表温度,在Arcgis、ENVI5.3、Origin 2018 软件中加以分析,得到热岛效应空间分布和时空变化特征、地表温度和土地利用类型的关系,结果表明:自 2001 年到 2019 年老市中心(西工区)地表温度增温 15℃;新市中心(洛龙区)地表温度增温 11℃;不同用地分类中,水域的表面温度最低,且随着热岛增加,水域的冷岛效应略有增加,2001 年洛河表面温度 26℃,冷岛强度 12℃,2019 年洛河表面温度 34℃,冷岛强度 14℃.
Abstract
In order to study the relations between the urban development of Luoyang and the urban heat island,the surface temperatures of the urban area in the past two decades were taken as the research object.Landsat satellite remote sensing data was used as the data source,and the temperature inversion method was used to study the surface temperatures at four different periods.The analysis was conducted by using ArcGIS,ENVI 5.3,and Origin 2018 software.The spatial distribution and spatiotemporal variation characteristics of the heat island effect,as well as the relations between surface temperature and land use type,were obtained.The results indicated that from 2001 to 2019,the surface temperature of the old city center(Xigong District)increased by 15℃,and the surface temperature of the new city center(Luolong District)increased by 11℃.Among different land use classifications,the surface temperature of water bodies was the lowest,and with the increase of the heat island,the cold island effect of water bodies had slightly increased.The surface temperature of the Luo River was 26℃in 2001,with a cold island intensity of 12℃,and in 2019,it was 34℃with a cold island intensity of 14℃.
关键词
Landsat卫星数据/温度反演/地表温度/热岛效应Key words
Landsat satellite data/temperature inversion/surface temperature/heat island effect引用本文复制引用
基金项目
河南省科技厅科技攻关计划(232102320163)
国家自然科学基金面上项目(52278127)
建筑安全与环境国家重点实验室开放基金(BSBE2022-08)
出版年
2024
NETL
NSTL
维普
万方数据