Measuring the seasonal impact of Beijing urban functional types on land surface temperature
Given the unclear understanding of the influence mode and degree of different urban functional facilities on land surface temperature,the MODIS land surface temperature products and point of interest(POI)data were utilized to synthesize the diurnal land surface temperature in Beijing for the four seasons of 2022 in this paper.Subsequently,the POI data was cleaned and reclassified to characterize the type of urban functional facilities.By Utilizing the extreme gradient boosting(XGBoost)algorithm for regression modeling and employing Shapley additive explanations(SHAP)for interpreting the results,to examine the nonlinear relationship between different types of urban functional facilities and land surface temperature at various time scales.Furthermore,the variations in the impact capability of five types of facilities on thermal environment with changes in the degree of aggregation of facility entities in Beijing were explored.The results indicated that POI data could reflect the intensity and types of human activities and contribute to explaining land surface temperature.Additionally,the relationship between different types of urban functional facilities and land surface temperature exhibits seasonal changes,enabling a finer-scale analysis of urban land surface temperature and supporting urban spatial layout planning.
NETL
NSTL
万方数据
