Ecological Environment Change Monitoring and Development Trend Forecast Based on Time Series Data Analysis
Ecological environment monitoring and development trend forecast have become one of the key issues of urban sustainable development, it is of great significance for balancing ecological environment and urbanization development. In view of the traditional ecological environment assessment method is difficult to reflect its objectivity and effectiveness, based on the advantages of long time series satellite remote sensing image data applied to ecological environment change assessment, this paper combined remote sensing ecological index and convolutional neural network model to evaluate the spatial and temporal changes of ecological environment in Uru-mqi and forecast the future development trend.