Green finance analysis with remote sensing for wetland changes
By using satellite remote sensing technology,the information of the ecological wetland of Qunli Bund in Harbin has been extracted and analyzed.It evaluates the changes of water and green area of the wetland in recent years,and discusses the impact of green finance on the ecological protection and development of the wetland.The training samples and verification points are obtained through visual interpretation and field investigation,and the Minimum distance(MD)method,Maximum likelihood(ML)method and Support vector machine(SVM)are used for supervised classification and comparison of their accuracy,so as to select the support vector machine method that is more suitable for the information extraction of northern wetlands for wetland classification.Combined with the ecological characteristics of the wetland,the development potential and influencing factors of green finance on the wetland are analyzed,and specific green finance strategies and suggestions are put forward.The results show that the water and green area of the Qunli Bund ecological wetland have increased steadily in recent years,which indicates that the wetland protection and restoration work have a remarkable effect.
万方数据
维普
