Surface Subsidence Monitoring And Data Processing Research Of Mining Area Based On D-insar Technology

Mining of coal resources occupied important position in the energy production in ourcountry.Study on the rule of the surface subsidence caused by underground mining haspractical significance for mine safety production and reducing the damage caused bymining.In this paper,we use differential synthetic aperture radar interferometry(D-InSAR)technique to obtain the datas of the mining surface subsidence,and then process thesubsidence data visually and extract the profile,lastly,select reasonable prediction method tocalculate the parameters of coal mining subsidence.Firstly,this paper introduces the basic principle and data processing flow of the D-InSARtechnique,and analysises the error sources which influences the monitoring accuracy of theD-InSAR technique detailly,and then comes to the conclusion that the advantages andlimitations of the D-InSAR technique used for the mining surface subsidence.Secondly,this paper selectes the Binchang mining area in Shanxi provice as the testarea,through differential interference processing for multiphase radar remote sensing image,obtaines dfferential interference figure and the deformation distribution figure of the studyarea,and determines the relationship between the ground subsidence area and undergroundmining,at the same time,we obtain the surface subsidence range and the characteristics ofsubsidence volume of distribution in the test period.These can provide references for the radarremote sensing monitoring of mining subsidence under the condition of complextopography,also can provide a technical way for the radar remote sensing monitoring of coalmining subsidence.Finally,according to the geographical coordinates data generated in the process ofD-InSAR processing,using the3D analysis module of ARCGIS,we generate profile in the main section(observation line)of mining working face,get the sinking deformation curvegraph and subsidence data of the mining working face through processing and analysis of theprofile,and determine the parameter value of subsidence predict probability integral methodaccording to the subsidence data,in turn,we can expect the whole face of the miningsubsidence deformation.