Research And Application Of Mine Subsidence Monitoring Method Based On SBAS-InSAR And GIS

As one of the most abundant resources in China,coal is the lifeblood of China’s national economic development.Increasing the coal mining activities,and led to the mass of the surface subsidence,damaged the ecological environment,geological disasters,and even directly affect the surrounding residents living and industry production safety,so for timely and effective monitoring of mine surface deformation,can prevent and reduce geological disasters caused by mining,the mining area for the mining area ecological environment and coal mine safety production provide strong guidance.Traditional GPS and leveling methods are based on the deformation of discrete points for monitoring,which not only cannot reflect the surface movement and subsidence rules of the mining area,but also have high cost,long monitoring period and are susceptible to weather and environmental influences.At present,synthetic aperture radar interferometry(In SAR)is widely used in deformation monitoring due to its all-weather,all-day and wide-coverage advantages.However,only In SAR technology is used for monitoring,and its data processing function of relevant software is relatively single,so it is impossible to conduct multi-angle analysis on the results.In view of the above problems,this study takes a mine in luliang,Shanxi Province as the research area,develops and improves the accuracy based on the monitoring principle of sbas-insar technology,3D unwinding and ps-insar technology,and then analyzes the surface deformation of this mine area through the fusion technology of sbas-insar and GIS.The main research contents and conclusions are as follows:In this study,sentinel-1a data were used to generate raster deformation diagram of continuous time series in the research area through SBAS technology.On this basis,3D unwrapping method was adopted,and GCP points automatically generated by ps-insar technology were converted into format as GCP points of SBAS technology,which effectively improved the processing accuracy and performed inversion.Through the secondary development function in GIS,the inversion results fit the NODATA values of the incoherent regions with large deformation gradient in SBAS results,so as to make up for the limitations of In SAR technology in monitoring large deformation regions.Then,it is analyzed as follows.Firstly,it is superimposed with other spatial information maps of the mining area,such as the mining plan of the working face,to analyze the subsidence law of the research area.Then the section of raster deformation data is generated,and the measured leveling data is compared with it after gaussian matrix transformation to verify the monitoring accuracy.Finally,the contour map is generated and the results are analyzed qualitatively.In this paper,3D untangling and ps-insar technology are used to improve the accuracy.The research results show that 3D untangling method is obviously better than 2D.The error of 14 GCP points obtained by PS technology is less than 0.8.On the basis of the study,based on the analysis of surface deformation,mainly through fitting added a lot of NODATA values,for the integrity of the data analysis provides a good condition,the analysis results show that the mining subsidence location and range along with the advancement of coal mining work to carry on the distribution and evolution,above the working face position and the surface subsidence basin maintain consistency.The accuracy is verified by comparing with the measured data.The deformation trend can be obtained from the monitoring of mining area by SBAS-In SAR,and the settlement value accuracy can reach mm level in the monitoring of mining area edge.In this paper,3D unwrapping and ps-insar technology were used for monitoring SBAS In SAR technology,and GCP points automatically generated by ps-insar technology were used for selecting GCP points,which effectively improved the monitoring accuracy.Based on In SAR technology and GIS technology,surface subsidence in mining area can be monitored and analyzed in a timely and effective manner from multiple angles,providing a reliable basis for subsidence disaster management.