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Integrating of SAR, High Resolution Remote Sensing Imagery and GPS for Monitoring Disasters in Mining Surface Areas ----The Core Engineering of Digital Mine

机译:SAR,高分辨率遥感影像和GPS的集成,用于监测矿区的灾害----数字矿山的核心工程

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Now detection and monitoring of mining geological disasters and environment is one of the most important tasks in mining area in China. The detection and monitoring of the mine surface disasters will be of great benefit to the reasonable development of mineral resources, and help to protect mine ecological environment, and realize the safety mining, mine ecology restoration and reconstruction. The goal of monitoring mine surface disasters, such as, subsidence, landslide, stability of building and structure building is that we use SAR, multi-phases and high-resolution remote sensing imagery and GPS to establish real-time monitoring system forecasting the disasters, to perform comparison analysis, interpret typical features of mining surface disasters, and analyze the law of transition and destruction of disasters, and provide instructional data, reports and atlas for safety mining and protection ecology environment. We also use GPS GCP for RS imagery alignment and getting precision coordinates of boundary points of the disasters features. For high resolution images, the RPC models and GPS GCPs are used for getting precision ortho-images. For Envisat SAR imagery, GPS GCPs used for getting referenced SAR imagery and check points. The basic law of transition and destruction of mine surface disasters has been concluded by contrasting with the interpretation results of multi-phases remote sensing images and deformation fields by D-INSAR results. GPS and surveying GeoRobot station is also used as for real-time and constant accuracy monitoring station in key points of mining surface. All data are automatic processed and analyzed. The automatic monitoring system is constructed by GPS reference station system, surveying GeoRobot station and temperature and pressure sensor. Automatic monitoring system has been used for successes disaster forecasting of landslide and subsidence in opencast mine. The Key integrating technology of RS, GIS and GPS, the technology of surveying sensor integrating and database management based XML, data visualization analysis based GIS and D-INSAR data processed for mine deformation fields has been solved in project and used in practice mine surface disasters monitoring.
机译:目前,矿山地质灾害与环境的监测与监测已成为我国矿区最重要的任务之一。地表灾害的发现与监测,将对矿产资源的合理开发,保护矿山生态环境,实现安全开采,矿山生态恢复与重建有很大帮助。监测地表塌陷,滑坡,建筑物和结构建筑物的稳定性等地雷灾害的目标是,我们使用SAR,多相和高分辨率遥感影像以及GPS建立实时的灾害预警监测系统,进行比较分析,解释地表灾害的典型特征,分析灾害的转移和破坏规律,并为安全采矿和保护生态环境提供指导性数据,报告和地图集。我们还将GPS GCP用于RS图像对齐,并获取灾害特征边界点的精确坐标。对于高分辨率图像,可使用RPC模型和GPS GCP获取精确的正射影像。对于Envisat SAR影像,GPS GCP用于获取参考SAR影像和检查点。通过与D-INSAR结果对多相遥感影像和形变场的解释结果对比,得出了地表灾害过渡破坏的基本规律。 GPS和测量GeoRobot站还用作采矿表面关键点的实时和恒定精度监视站。所有数据都将自动处理和分析。该自动监控系统由GPS参考站系统,测绘GeoRobot站以及温度和压力传感器组成。自动监测系统已被用于成功预测露天矿的滑坡和塌陷灾害。解决了RS,GIS和GPS的关键集成技术,基于XML的测绘传感器集成和数据库管理技术,基于GIS的数据可视化分析以及为矿山变形场处理的D-INSAR数据的方法,并在实践中用于地表灾害监控。

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