Characterizing the spatial and temporal variation of the land surface temperature hotspots in Wuhan from a local scale

作     者：Chen Yang Qingming Zhan Sihang Gao Huimin Liu Chen Yang;Qingming Zhan;Sihang Gao;Huimin Liu

作者机构：School of Urban DesignWuhan UniversityWuhanChina Institute of Space and Earth Information ScienceThe Chinese University of Hong KongHong KongChina Collaborative Innovation Center of Geospatial TechnologyWuhanChina 

出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)

年 卷 期：2020年第23卷第4期

页      面：327-340页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基　　金：This work is supported by the National Natural Science Foundation of China[grant numbers 51878515 51378399 and 41331175] 

主　　题：Land Surface Temperature(LST) latent pattern morphology spatiotemporal variation Gaussian process 

摘      要：Land Surface Temperature(LST)derived from space-borne Thermal-infrared(TIR)sensors is a key parameter of urban climate *** studies are inefficient to capture the spatial and temporal variations of LST for only one snapshot adopted at one *** on the characterization of the spatial and temporal of LST variations at local scales,the latent patterns,and morphological characteristics are extracted in this ***,sixteen MODerate-resolution Imaging Spectroradiometer(MODIS)eight-day synthesized LST products(MYD11A2)in 2002,2007,2012,and 2017 are ***,the non-parametric Multi-Task Gaussian Process Model(MTGP)is used to extract the smooth and continuous Latent LST(LLST)patterns using one LST subset and its temporally adjacent ***,the Multi-Scale Shape Index(MSSI)is then applied to quantify the morphological characteristics at the optimal ***,the LLST patterns and MSSI maps are clustered into multiple spatial *** specific clusters with the highest LLST and MSSI values are considered as local LLST *** Hotspots Weighted Mean Center(HSWMC)and standard deviation ellipse are adopted to further investigate the spatiotemporal change of hotspots orientation,direction,and *** revealed that Impervious Surfaces(IS)composition is the most significant external forcing of local LST *** configuration factors(e.g.,shape index,aggregation index)also have a noticeable local warming *** study represents a latent pattern and morphology-based framework for LST hotspots spatial and temporal variations characterization,catering to the zoning and grading strategies in urban planning.