Research on the gradual refinement fusion strategy of land survey data and forest subgroup data based on semantic model

The method of scientifically performing fused correlation of multi-source data in the course of natural resource research has important theoretical implications and application value. Especially in the recent third national land survey,the definition of forest land differs between the Ministry of Natural Resources and the National Forestry and Grassland Administration,so there is a difference in combining the forest land data of both.In this article,the Zichuan district of Zibo City,Shandong Province was taken up as a research field and the method of fusion and correlation of the two was explored. First,a corresponding relationship between the two types of data was established and the throughpilot data was optimized to lay the foundation for data fusion.Next,the contents,structure,and attributes of the two types of data were combined and analyzed,and a stepwise elaborated fusion correlation model covering the refinement factors of the land survey and forest survey was established. Finally,by using the establi