Abstract
Abstract. A new solution algorithm that combined D-InSAR and probability integral method was proposed to generate the three dimensional deformation in mining area. The details are as follows: according to the geological and mining data, the control points set should be established, which contains correct phase unwrapping points in subsidence basin edge generated by D-InSAR and several GPS points; Using the modulus method to calculate the optimum parameters of probability integral prediction; Finally, generate the three dimensional deformation of mining work face by the parameters. Using this method, the land subsidence with big deformation gradients in mining area were correctly generated by example TerraSAR-X images. The results of the example show that this method can generate the correct mining subsidence basin with a few surface observations, and it is much better than the results of D-InSAR.
Highlights
China is rich in mineral resources, approximately 4,000,000 hectares land area were destroyed by mining, and still increasing at an annual rate of 200,000 hectares
This paper puts forward a solution based on the mining subsidence theory of probability integration method, under the fusion of D-InSAR monitoring results and a small amount of measured surface subsidence, extracted surface subsidence basin respectively under the condition of actual mining
Revisit cycle is short and the resolution is high, but the X-band wavelength is shorter, it is strongly influenced by noise such as vegetation, and its cost is very high, during the test we found that the L-band ALOS satellite is the best satellite monitoring of mining subsidence at the current
Summary
China is rich in mineral resources, approximately 4,000,000 hectares land area were destroyed by mining, and still increasing at an annual rate of 200,000 hectares. The traditional monitoring methods (leveling, GPS, total station measurements) have high precision, but there is a heavy workload, high cost, measuring point sparse and other shortcomings, difficult to obtain the three-dimensional deformation and historical subsidence information(Fan H D et al,2012). These methods require a large number of ground monitoring points, it’s difficult to ensure that preserve and emplace a large surface monitoring points because exist problems such as occupation of the land, the worker-peasant relations and other issues. This paper puts forward a solution based on the mining subsidence theory of probability integration method, under the fusion of D-InSAR monitoring results and a small amount of measured surface subsidence, extracted surface subsidence basin respectively under the condition of actual mining
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