RETRACTED ARTICLE: Investigation of remote sensing image and big data analytic for urban garden landscape design and environmental planning

Abstract

In the development of recent years, social changes and the improvement of the level of economic development have accelerated my country’s urbanization construction to a large extent, and the scope of influence of urbanization is also continuously expanding. Urban construction in various regions is moving closer to modern development, and the traditional urban spatial structure is gradually being broken. New urban development models are gradually appearing in people’s vision and have brought people a lot of convenience in the long-term development. However, this new development model still has many problems, and urban construction and planning work are not smooth. The rapid development of urban construction has changed people’s original development model. More and more people are living in cities, and the original topography and landform have changed. Due to the needs of urban construction, many natural resources have been destroyed, and ecological environmental problems are constantly emerging. The haze weather, high-temperature weather, sandstorms, etc. that appear in the city have many bad effects on people’s lives. Therefore, it is necessary to analyze the law of urban landscape changes and use big data analysis to find solutions to urban environmental problems. Specific methods improve the quality of urban ecological development. This article uses the method of big data analysis to analyze the image characteristics of remote sensing sensors and provides suggestions for urban landscape planning and environmental protection.