Research on the construction of intelligent management platform of garden landscape environment system based on remote sensing images

With the rapid development of social economy, urban landscape construction has also achieved rapid development and progress. Not only has it created a greener land and planted a variety of plants on a piece of land, but it has also been integrated with the construction layout of the entire city to form a complete urban ecological environment system that can enable people to live and work better in the city. Through the intelligent construction of the landscape environment, the collection, processing, and use of tourism information resources at any time promote the standardized improvement of tourism and services and actively manage and supply information services. During the entire tourism process, there are strict restrictions to meet the requirements of tourists and improve tourism services. Garden landscape evaluation has always been the focus of theoretical research. It attaches great importance to garden landscape design. Its principle is to define and study gardens and evaluate standard landscape views through the principles and theories of garden landscape design, integrating environment, climate, and man-made conditions and then creating a scientific digital analysis model, which is an important part of the “digital landscape” and also a key core part. In view of the rapid progress of China’s economy and the acceleration of urbanization, urban environmental issues have become more and more important and have gradually become the main topic of research by researchers. This article takes the central area of a city as the research object. When the city has a heat island phenomenon, it quantitatively analyzes it through remote sensing satellite image data GIS and other methods and draws the conclusion: If the intelligent management system can be applied to urban, construction efficiently improves the inefficiency of beautification and provides certain support for the construction of “smart” cities in our city. © 2021, Saudi Society for Geosciences.