西藏自治区海拔高、地形起伏大，利用优于1m分辨率卫星影像监测当地的矿业开发活动存在较多难点。文章以墨竹工卡重点矿集区为例，通过影像的正射校正、融合镶嵌、几何校正、信息提取等处理工作，完成了基于“高分二号”（GF-2）卫星影像的1∶1万比例尺矿山遥感监测工作。通过与国际多元多尺度卫星影像的对比研究，GF-2卫星影像对于开采硐口的识别、开采面及开发占地性质的确定、水体污染现象的识别等矿山开发信息提取的准确率有了明显提高，完全能够满足1∶1万尺度矿山遥感监测技术要求，在替代国际同等分辨率商业卫星数据的同时，亦可节省大量的野外验证工作，具有显著的社会经济效益。%With the high altitude and undulating terrain, there are a large number of difficulties when using better than one-meter-resolution satellite images to monitor the local mine development activities in Tibet autonomous region. In this study, Mozhugongka key ore concentration area is considered as an example. The 1:10 000 scale of mining remote sensing monitoring based on GF-2 satellite images is completed by means of the technique of image mosoic orthographical correction, image fusion and mosaic, geometric correction, information extraction and so on. Through the comparative study of multi-scale satellite images at home and abroad, GF-2 satellite images are useful for improving the accuracy of mine exploitation information extraction, such as the recognition of exploitation cave mouth, the determination of mining face and the nature of the exploitation land, the identification of a phenomenon of water pollution and so on. GF-2 satellite images can fully meet the technological requirements of the 1:10 000 scale of mine remote sensing monitoring. All in all, GF-2 satellite images can not only replace the foreign equivalent resolution commercial satellite data, but also save much field verification work. As a result, it may help achieve a significant socioeconomic performance.
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