Spatial and Temporal Evolution Analysis of Heat Island Effect in Zhengzhou City Based on Remote Sensing Cloud Platform
In order to explore the urban heat island problem caused by the rapid urban expansion in Zhengzhou, based on the Landsat images in the summer of 2006, 2013 and 2020 in the study area, a generalized single-channel method was implemented using the public datasets of the PIE Engine Remote Sensing Cloud Platform. After performing mean-standard deviation classification on the land surface temperature inversion results, the spatio-temporal evolution analysis of urban heat island effect is carried out in collaboration with land use data. The results show that: from 2006 to 2020, the average land surface temperature in Zhengzhou decreased yearly, but the land surface temperature range expanded, the lowest value remained in the water area, and the highest value was in the imper-vious surface area; while for temperature classification, the high-coverage vegetation and water area showed a significant cooling effect, the low-coverage vegetation gradually shifted to the normal area, the bare land was greatly affected by the environment, heat island patches were concentrated on the impervious surface, and the area of the strong heat island area gradually increased.
PIE-EngineZhengzhou cityland surface temperature inversionurban heat island effect
万方数据
维普
