This paper firstly analyzes the cognitive mapping driven by knowledge mapping and constructs the framework of the cognitive mapping model of regional landscape with information technology. Secondly, we analyze the spatiotemporal evolution characteristics of the urbanized regional landscape system in terms of the landscape representation layer and the inferential computation layer of the model, including the patch-type dynamic attitude and spatial changes. Finally, based on the urbanization process of city B as an example, the results of the spatial and temporal evolution of its regional landscape types are analyzed. The results show that the proportion of arable land area in the regional landscape type decreased by 13.84% from 2000 to 2020 compared with other landscape types, and the patch density and landscape shape index increased by 2.08 and 22.3 respectively, in 2020 compared with 2000.