Abstract

Abstract. InSAR has developed a variety of methods, such as D-InSAR, PS-InSAR, MBAS, CT, SqueeSAR, POT, etc., which have been widely used in land subsidence monitoring. For open pit mining areas, there are usually mining activity, complex terrain features, low coherence, and local large deformation gradients, which makes it difficult for time series InSAR technology to obtain high-density surface deformation information in open pit mining areas. Traditional methods usually only monitor the linear deformation of the surface caused by the mining of a few working zone above the underground mining area, and the temporal and spatial resolution is lower. How to obtain high-precision, high-density, and time-sensitive deformation information is the main difficulty of InSAR monitoring in open pit mining areas. Make full use of the geosensor network monitoring system, optimize monitoring mode of collaborated satellite-to-ground based InSAR, further realize whole calculation and geographic information services, to achieve early identification and discovery of abnormal in large-area macro-monitoring, and accurate monitoring of local areas in real-time early warning, which is the development direction of ground deformation monitoring of mining areas. The study area is Pingshuo open pit mining area. we fully study the application mode and services of InSAR monitoring for geohazards in open-pit mining area, through the establishment of satellite InSAR technology system for large-scale macro-monitoring and forecasting, and GBSAR and GSN for local precision monitoring. The effective mode of InSAR monitoring of geohazard in open-pit mines is summarized. A combination of D-InSAR, POT (Pixel offset tracking), Time Series-InSAR and GB-SAR is used in a wide range, and high-resolution optical images are used to identify localized changes in subsidence areas and open-pit mining areas.

Highlights

  • InSAR has developed a variety of methods, such as D-InSAR, PS-InSAR[Alessandro Ferretti, Claudio Prati, and Fabio Rocca, 2001 and Hooper Andy, Segall P, Zebker H.A., 2007], MBAS[Francesco Casu, Mariarosaria Manzo, Antonio Pepe, and Riccardo Lanari, 2008], CT[Oscar Mora, Jordi J

  • We fully study the application mode and services of InSAR monitoring for geohazards in open-pit mining area, through the establishment of satellite InSAR technology system for largescale macro-monitoring and forecasting, and GBSAR and geosensor network (GSN) for local precision monitoring

  • Taking the horizontal deformation rate calculated by the geosensor network as a constraint, the slant range deformation rate obtained by InSAR is decomposed into vertical deformation rate and horizontal deformation rate enhanced by the joint computing of satelliteground collaborative monitoring

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Summary

INTRODUCTION

InSAR has developed a variety of methods, such as D-InSAR, PS-InSAR[Alessandro Ferretti, Claudio Prati, and Fabio Rocca, 2001 and Hooper Andy, Segall P, Zebker H.A., 2007], MBAS[Francesco Casu, Mariarosaria Manzo, Antonio Pepe, and Riccardo Lanari, 2008], CT[Oscar Mora, Jordi J. There are usually more vegetation coverage, low coherence, and large deformation gradient, which makes it difficult for time series InSAR technology to obtain high-density mining area surface deformation information. It is difficult for traditional linear deformation observation to fully reflect the temporal and spatial evolution of the threedimensional deformation of the whole mining area. How to obtain high-precision and high-density deformation information is the main difficulty of InSAR monitoring in mining area, especially for open pit mine. Research is focus the collaborative monitoring modes and computing services for large area and local area and important area how to use TS-InSAR, DInSAR, POT and GBSAR and high-resolution satellite imagery and GSN technology for geohazards identification in open-pit mine

COLLABORATIVE MONITORING MODE
PS-DInSAR Monitoring Methods for Mine Subsidence
GB-SAR Geohazards Monitoring
GSN Geohazards Monitoring System
Findings
CONCLUSIONS
Full Text
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