在印度,燃烧了数十年的地下煤矿大火给生命和煤矿资源造成了严重危害,为了探测和圈定地下煤矿大火,白天和黎明前在比哈尔邦的扎里亚煤田,用多光谱扫描仪进行了测量。用数字数据转换的象元温度数据绘制了等温图,随后用地面测温数据进行验证的沿扫描线温度剖面图。等温图上的异常区与已知火点相关并显示了可能的易燃区。根据半无限介质中线性热流方程圈定的不同地区的火源深度与地下开采情况相吻合,这将有助于未来的开采和监测活动。 In India, underground coal mine fires that have been burning for decades have caused serious damage to life and coal resources. In order to detect and delineate underground coal mine fires, daytime and pre-dawn Zhalia coalfields in Bihar used multispectral scanners Measured. An isothermal image was plotted using the digital data converted pixel temperature data followed by a cross-sectional temperature profile along the scan line validated by surface temperature data. The anomalous zone on the isotherm map is related to the known fire point and shows the possible flammable zone. The depth of fire source in different regions delineated by the linear heat flow equation in a semi-infinite medium agrees well with the underground conditions, which will facilitate future mining and monitoring activities.