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Mining area is a special spatial region which is formed during the national economic development process, and in the process of its production and development, a great number of data is accumulated, which plays an important role in the actual producing and scientific research. The content of these data includes social, economic and natural information, with characteristics like wide-ranging, comprehensive, complex and large variability.In order to facilitate the integrated management and comprehensive application of the mining data, and play a more effective role in mining area’s production planning, ecological and environmental protection, disaster prevention, etc, this paper, based on the spatial data management and operation mode of the metadata, used ArcSDE and Oracle as a development platform to design and build the mining integrated database. This paper solved storage problem of multi-scale space data by using meta-data technology, and designed the organizational structure to optimize the data storage. It selected the series snapshot model to solve the storage and update issues of thematic data, which characteristics with time. It established attribute database to store mining attribute data, model data, the critical value data, etc.On the basis of the database, mining integrated database management system was developed, to achieve mining data’s efficient storage, management, retrieval and use. Analysis and evaluation system of mining ecological environment was designed, by studying the application of multiple remote sensing data in mining inversion of the ecological environment. System includes preprocessing of remote sensing image data, inversion model operation, assessment and early warning of ecological environment, etc. paper used chlorophyll extraction of vegetation to verify the performance of mining ecological environment analysis and evaluation module. Experiments show that, this system can provide reference data to the mining managers, and provide support to monitoring and management of mining ecological environment.
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