Study on the Correlation Between the Identification of Low-altitude Remote Sensing Cracks and the Surface Deformation Index Induced Mining by UAV
Shanxi is rich in coal resources.With the large-scale exploitation and utilization of coal resources,a series of geological disasters have been induced.Surface cracks are one of the main manifestations of geological disasters.At present,manual field investigation and identification and satellite image interpretation and identification are mostly used for surface crack monitoring,which has the disadvantages of high cost,low efficiency,low resolution and easy to be affected by weather.In this paper,Feima D2000 UAV is used to carry out aerial photogrammetry in a geological disaster prone area of Huayang No.2 Coal Mine in Shanxi Province.The digital orthophoto model(DOM),digital surface model(DSM)and three-dimensional point cloud model(3DPCM)are obtained.Based on the interpretation of these three model data,the development and distribution characteristics of surface cracks are obtained.At the same time,according to the geological and mining conditions,the surface movement and deformation are predicted,and the relationship between the surface deformation index and the distribution of mining cracks is analyzed.The results show that the use of DOM and 3DPCM model data can efficiently and accurately identify surface cracks,and the distribution of cracks is highly correlated with the surface curvature deformation,horizontal deformation caused by mining.The study results have certain reference significance for predicting and evaluating the development of surface cracks caused by mining.
geological disastersurface cracksphotogrammetrysurface movement and deformation
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万方数据
