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    基于ETM+数据的煤田火区温度异常信息提取

    Temperature anomaly information extraction in coalfield fire area based on ETM+ data

    • 摘要: 快速而准确地提取煤田火区温度异常信息对于主动发现煤火和及时治理煤火具有重要意义.以新疆维吾尔自治区乌鲁木齐市郊的大泉湖火区为研究区,基于ETM+遥感影像数据,采用普适性单通道法反演煤田火区地表温度,利用人工阈值法和密度分割法提取背景区与温度异常区,将温度异常区与磁法成果图进行图层叠加分析.研究结果表明,普适性单通道算法反演的温度均方根误差为0.68℃,温度异常区与煤火区的重叠率为82.71%,温度异常区反演准确率为80.17%,为基本圈定煤火范围提供了有力的参考.

       

      Abstract: The initiative finding of coal fire and timely governing of coal fire so as to quickly and accurately extract temperature anomaly information are of great importance.In this study, with the coal fire area of Daquanhu in the suburbs of Urumqi of Xinjiang as the study area and ETM+ remote sensing data as the base, the authors used generalized single-channel method to retrieve land surface temperature of coalfield fire area, and then used manual threshold method and density slicing method to extract background area and temperature anomaly.Finally, temperature anomaly area image was superimposed upon the magnetic prospecting resultant map to perform analysis.The results show that the retrieved RMSE of Generalized Single-Channel Method is 0.68℃, the overlap rate between temperature anomaly area and definitized fire area range is 82.71%, and the accuracy rate of temperature anomaly area retrieval is 80.17%.This method can preliminarily delineate the coal fire range and also provides a reference for precisely measuring the coal fire range.

       

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