基于语义模型的国土调查数据与森林小班数据渐进精化的融合策略研究

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

在自然资源调查过程中,科学地进行多源数据融合关联具有重要的理论意义和应用价值。尤其在最近开展的第三次国土调查中,由于自然资源局和林业部对林地的界定存在一定差异,导致两者在林地数据融合关联上出现差异。以山东省淄博市淄川区为研究对象,探索两种数据结构的融合关联方法。首先建立两类数据的地类对应关系,并通过试点数据对其进行优化完善,为数据融合奠定基础;其次对两类数据内容、结构和属性等进行梳理分析,建立涵盖国土调查和森林调查细化因子的渐进精化融合关联模型;最后利用建立的融合关联模型,构建第三次国土调查数据与森林小班数据的融合关联关系和数据库,为图斑要素级直观展现三调图斑的森林调查细化因子以及因地类分类划定含义不同造成的森林面积、林木绿化率等统计表的差异分析提供数据支撑。研究结果可为其他地区两类数据融合关联提供技术支撑与参考。

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 established fusion association model,the fusion association relationship and database of the third national land survey data and forest resource sub-class data were constructed,which visually displayed the forest survey refinement factors of the third land survey map at the map element level. Data support for the analysis of differences in statistical tables such as forest area and forest greening rate caused by the different meanings of the classification and delineation of the land was provided. The research results could provide technical support and reference for the fusion and correlation of the two types of data in other regions.