基于GEE与Landsat8数据的杭州市地表温度反演及时空变化分析研究  

Land surface temperature retrieval and spatiotemporal variation analysis in Hangzhou City based on GEE platform and Landsat8 data

作　　者：张忠胜 贾凤鸣 ZHANG Zhongsheng;JIA Fengming(Institute of Geology and Mineral Resources Exploration,Hangzhou,Zhejiang 310052,China;Hubei Tiandiyun Geomatics Technology Group Co.,Ltd.,Wuhan,Hubei 430000,China)

机构地区：[1]浙江省地矿勘察院有限公司,浙江杭州310052 [2]湖北天地云地信科技集团有限公司,湖北武汉430000

出　　处：《测绘标准化》2024年第1期48-53,共6页Standardization of Surveying and Mapping

摘　　要：地表温度(LST)是地表物理过程的重要参数,与热环境密切相关,对城市气候、生态系统和城市规划等方面有重要影响。为此,本文基于谷歌地球引擎(GEE)平台获取了杭州市2015年、2018年、2021年同一时间(5月28日)Landsat8数据集,应用单窗算法进行地表温度反演及时空变化分析,并研究归一化植被指数(NDVI)与地表温度之间的相关关系。结果表明,应用单窗算法反演的杭州市地表温度具有较高的精度。从时间变化来看,2015—2021年杭州市地表最高温度呈现上升趋势,地表最低温度在降低。从空间变化来看,2015—2021年,杭州市地表温度高的区域主要分布在建设用地,地表温度较低的区域主要分布在水体及植被高覆盖区。杭州市这3个时期同一天的地表温度反演结果与NDVI存在线性负相关;2015年、2018年、2021年杭州市地表温度与NDVI的相关系数分别为-0.13、-0.05、-0.28。研究结果可为杭州市热环境的分析与应对提供相应依据。Land surface temperature(LST)is an important parameter of surface physical process,which is closely related to thermal environment,and has an important impact on urban climate,ecosystem and urban planning.Therefore,based on Google Earth Engine(GEE)platform,this paper obtains Landsat8 data set of Hangzhou City at the same time in 2015,2018 and 2021(May 28th),and applies the single-window algorithm to perform LST retrieval.The correlation between normalized differens vegetation index(NDVI)and LST is studied.The results show that:using the single-window algorithm to retrieve the Hangzhou LST has a high accuracy.From the perspective of time change,from 2015 to 2021,the maximum LST in Hangzhou showed a rising trend,while the minimum LST was decreased.From the perspective of spatial change,from 2015 to 2021,the areas with high LST in Hangzhou are mainly distributed in the construction land,while the areas with low LST are mainly distributed in the areas with high water and vegetation coverage.In the three periods,there is a negative correlation between the inversion results of Hangzhou LST and NDVI.The correlation coefficients of Hangzhou LST and NDVI in 2015,2018 and 2021 are-0.13,-0.05 and-0.11,respectively.The results can provide a basis for the analysis and response of Hangzhou's thermal environment.

关 键 词：谷歌地球引擎 地表温度反演 归一化植被指数 单窗算法 精度验证 

分 类 号：TP753[自动化与计算机技术—检测技术与自动化装置]