Land surface temperature retrieval and spatiotemporal variation analysis in Hangzhou City based on GEE platform and Landsat8 data
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 ur-ban 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-win-dow 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 Han-gzhou 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 con-struction land,while the areas with low LST are mainly distributed in the areas with high water and vege-tation coverage.In the three periods,there is a negative correlation between the inversion results of Hang-zhou 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.
NETL
NSTL
万方数据
维普
