Analysis of the Influence of Three-dimensional Landscape on Land Surface Temperature in Fuzhou
It is of great significance for urban planning to explore the influence mechanism of 3D urban landscape on land surface temperature(LST).Based on Landsat 8 remote sensing images from 2022 to 2023,the four seasons LST of Fuzhou was retrieved,and the study area was divided into a 200 m×200 m regular grid.On this basis,three-dimensional land-scape pattern index were constructed,and their effects on land surface temperature were analyzed.The interpretation de-gree of LST by two dimensional factors and three dimensional factors is compared and analyzed by geographical detector.The results show that:(1)LVV and LST were negatively correlated,while building volume and LST were positively correlat-ed,LVV had a higher correlation than building volume and LST,and in four seasons,the correlation between LST and LST was summer,spring,autumn and winter in order from high to low;(2)tree building volume ratio,tree volume building struc-ture index ratio,tree volume volume ratio,tree volume building space crowding ratio and LST were all negatively correlated,among them,the negative correlation between tree volume building space crowding ratio and LST was relatively high,and the correlation between three-dimensional landscape pattern index and LST was relatively high in four seasons and sum-mer;(3)building volume and LVV had a certain driving effect on the spatial distribution of LST,their interpretation was higher than that of Road,but lower than that of 2D FVC and ISA,and the interaction between building volume and LVV was higher than that of the two factors alone.
land surface temperaturethree-dimensional landscapelandscape pattern indexgeographic detector
国家科技期刊平台
NSTL
万方数据
