Abstract
Increased flooding risk, decreased vegetation cover, and the development of urban heat islands are just a few of the negative effects of increased impervious surface area on the urban environment. This paper presents the results of building a predictive model of impervious surfaces in Ho Chi Minh City from remote sensing and GIS data. Landsat satellite images for 2002 - 2022 are used to classify impervious surfaces and extract information layers about vegetation cover, surface temperature, and layers of data on terrain and population for modelling and forecasting impervious surface changes. The results obtained in the study can be effectively used for urban planning, minimising the impact of the process of increasing the impervious surface on the urban environment