This work focuses on resource analysis and contains two core modules: image data analysis and data presentation. The following is a detailed description of these two modules: Module 1: Image Data Analysis This module is mainly used to show the overall map content of the natural resources to be analyzed, and provide the comparison and analysis function of image data. Overall Map Presentation: This feature provides an overall map that identifies the location and distribution of natural resources to be analyzed by using an appropriate mapping service or tool. Users can browse, zoom, and view details of a particular region on the map. Image data comparison and analysis: This function compares and analyzes changes in natural resources based on image data. The user can select the image data of different time points or regions, and the system will compare and analyze the changes of resources. This can help users understand the dynamics of resources and make relevant decisions. Module 2: Data Presentation This module is mainly used for freely combined table display of data, and provides the function of visual operation of the table data displayed. Free combination of table display: This function allows users to freely select and combine various data indicators to generate personalized table display. Users can select specific natural resource indicators, time range, geographical area, etc., the system will generate the corresponding table according to the user's choice, and display the relevant data. Table Data Visualization: This feature allows you to visualize the displayed table data to better understand and analyze the data. Users can choose different visualization methods, such as charts, graphs, and maps, to transform tabular data into intuitive and easy-to-understand visualizations. This helps users discover patterns, trends, and correlations from the data and supports deeper resource analysis and decision-making. To sum up, the first module of this work is mainly used to display the map content of natural resources, and provide the comparison and analysis function of image data; the second module is used to display the data in a freely combined table, and supports the visualization operation of the displayed table data. These functions can help users better understand and analyze natural resources and their changes, and provide strong support for resource management and decision-making. Technology stack: vue vite ts is used at the front end, and two servers are used at the back end to support it, one is java springboot mybatisplus for data management, and the other is python image processing based on openAi. Database using domestic database dm8.