Coastal mountain landscape and urban plant planning based on remote sensing imaging

摘要

Due to the gradual decline of plant diversity, the distribution structure and spatial pattern of plant diversity have undergone significant changes in recent years. As a substantial reference standard for assessing whether the ecological functions of urban gardens can be performed commonly, the quality of the urban ecological environment, and the goodness of the urban human settlement environment, plant diversity is essential. If plant diversity presents a rich situation, it can play a critical role in improving the ecological environment's quality and providing a solid material foundation for human development. Suppose you want to achieve sustainable growth in urban development. In that case, it is of positive significance to carry out protection and development projects for plant diversity within the city's jurisdiction. To implement long-term green development goals, it is necessary to formulate a planning outline that meets actual needs. The stability of the upper-level planning and the richness of the landscape can also be fully guaranteed. The methods used in this study mainly include (1) unary linear regression and Mann-Kendall trend test; (2) interannual change extraction and data normalization; and (3) correlation analysis and multiple linear regression. The changing trend of ecological vegetation within a predetermined range and its significant development stage are obtained through unary linear regression and trend testing. Interannual change extraction and data normalization are used to get the interannual change characteristics of vegetation and climate factors and make them comparable. Use correlation analysis and multiple linear regression methods to analyze the driving analysis of natural and human ecological vegetation changes. Therefore, changes in climatic conditions and human activities can directly affect vegetation growth trends' critical factors. This research's experimental results have significant reference value for regional ecological landscape construction and urban plant planning.