Universal Thermal Climate Index in tourist attractions of Jinan City based on remote sensing data
Tourism is highly susceptible to climate and weather variations,with favorable climatic conditions being recognized as a crucial tourism resource.In climate comfort research,the Universal Thermal Climate In-dex(UTCI)has emerged as a widely applied and highly validated evaluation metric in recent years.This study aims to estimate UTCI temperatures for tourist attractions of Jinan City using satellite remote sensing data,providing tourists with more accurate thermal comfort information.This research integrates ground meteorolo-gical station data and satellite remote sensing data using quantitative inversion techniques.The methodology first reviews quantitative remote sensing applications for retrieving key meteorological parameters(air temper-ature,land surface temperature,wind speed,and relative humidity),followed by the development and valida-tion of a UTCI quantitative retrieval model.Validation using 122 data pairs from 2021 Landsat 8 and MODIS satellite imagery against 22 automatic weather stations in the Jinan metropolitan area demonstrates the efficacy of the Random Forest-based UTCI model,achieving a Mean Absolute Error(MAE)of 0.89℃ and Root Mean Square Error(RMSE)of 1.37℃.Application to Jinan's tourist attractions reveals that:1)Remote sensing-based UTCI retrieval is feasible and reliable for tourist destinations;2)UTCI distributions show distinct temporal and spatial patterns;3)Substantial disparities exist between UTCI and conventional temperature forecasts;and 4)Optimal tour-ism conditions in Jinan vary seasonally—encompassing all regions in spring,high-altitude shaded slopes and val-leys in summer,and sun-facing slopes in autumn.The study concludes by addressing improvements in model accuracy,data quality,landscape feature identification,tourist characteristic differentiation,and mitigation of subjective variations in tourist responses.
万方数据
维普
