李峰, 梁汉东, 赵小平, 陈洋, 王哲. 基于ASTER影像的乌达火区遥感监测研究[J]. 煤矿安全, 2016, 47(11): 15-18.
    引用本文: 李峰, 梁汉东, 赵小平, 陈洋, 王哲. 基于ASTER影像的乌达火区遥感监测研究[J]. 煤矿安全, 2016, 47(11): 15-18.
    LI Feng, LIANG Handong, ZHAO Xiaoping, CHEN Yang, WANG Zhe. Remote Sensing Monitoring Research on Coal Fire in Wuda Mine by ASTER Images[J]. Safety in Coal Mines, 2016, 47(11): 15-18.
    Citation: LI Feng, LIANG Handong, ZHAO Xiaoping, CHEN Yang, WANG Zhe. Remote Sensing Monitoring Research on Coal Fire in Wuda Mine by ASTER Images[J]. Safety in Coal Mines, 2016, 47(11): 15-18.

    基于ASTER影像的乌达火区遥感监测研究

    Remote Sensing Monitoring Research on Coal Fire in Wuda Mine by ASTER Images

    • 摘要: 为了监测评估内蒙古乌达煤火的治理效果,以灭火前、中、后和灭火监测期的ASTER热红外波段为数据源,采用TES算法反演矿区地表温度,根据自适应梯度阈值法提取4个年度的火区,经过对比验证发现: 2008年提取火区与2009年航空参考火区的重合度为71.4%;分析2008—2015年间的煤火演变状况,结果表明:2008—2013年间,火区呈现显著缩减趋势,面积减少2.5 km2,由集中变为零星分布,这表明该时期煤火治理效果显著;2013—2015年间,火区面积增加了0.3 km2,由离散变为集中分布,这说明火区有复燃的趋势,1 km2的存量说明今后仍需加大火区治理力度。

       

      Abstract: To monitor and assess effect of coal fire in Wuda Mine of Inner Mongolia, taking ASTER thermal infrared bands before, during, after extinguishing coal fire and during monitoring period as data sources, coal surface temperature was inverted by TES algorithm and coal fire areas during four time phases were extracted based on self-adaptive gradient threshold method. By comparing fire areas in 2008 with aerial referenced fire areas in 2009, the accuracy of fire areas identification was 71.4%. According to developing states of coal fire between 2008 and 2015, results revealed that coal fighting-fire project achieved good effect and coal fire areas changed into sporadic distribution from concentration due to dramatically shrinking of 2.5 km2 coal fire areas from 2008 to 2013. However, during 2013 and 2015, coal fire areas increased 0.3 km2 and became more concentrated from discrete forms. And residual fire size of 1 km2 indicated that more extinguishing fire technologies needed to be strengthened in the future.

       

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