Application of Big Data in Comprehensive Governance of Coal Mining Subsidence Areas
Research the application of multi-source big data in the comprehensive management of coal mining subsidence areas,focusing on key links such as multi-source big data,data integration and processing,and comprehensive governance evaluation.Based on reported data,local data from national natural resources and geospatial basic information databases,combined with multi temporal and multi type remote sensing dynamic monitoring information,and utilizing new technologies such as geographic information systems(GIS)and artificial intelligence,comprehensive,multi-scale,and multi temporal information collection and fusion are achieved to further accurately understand the overall situation of special types of areas,design effective indicator systems and comprehensive evaluation and analysis methods,providing comprehensive and objective data support and governance basis for the comprehensive management of coal mining subsidence areas.
coal mining subsidence areascomprehensive governancebig data
NETL
NSTL
万方数据
