Data Mining Method for Vegetation Distribution in Mineral Resources Areas

Liya Cai

Ekoloji, 2019, Issue 108, Pages: 651-655


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In order to solve the uneven distribution of vegetation in mineral resources areas, a data mining method for vegetation distribution in mineral resources areas is proposed. The preparation and distribution of mineral areas follow the spatial distribution law. The longitude, latitude and elevation of ground control points are measured by RTK, and the UAV data images are obtained. The original aerial images are corrected by the precise coordinates of ground control points. Based on Orthophoto image of sample plot, decision tree algorithm is used to establish sample training data to obtain vegetation coverage grade of mineral resources. The theory of linear decomposition method is used to establish the corresponding linear mixed model, and the sample data is substituted into the linear element decomposition model to calculate the contribution rate of soil and vegetation coverage. The results show that the contribution rate of vegetation coverage in mineral resources areas is about 70%, and the vegetation coverage level is higher.


mineral resources, vegetation distribution, data mining


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