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首页> 外文会议>Hyperspectral remte sensing applications and environmental monitoring and safety testing technology >A Research on Coalfield Fire Detection in Daliuta Mining Area at Inner Mongolia Based on Hyperspectral Thermal Infrared Remote Sensing
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A Research on Coalfield Fire Detection in Daliuta Mining Area at Inner Mongolia Based on Hyperspectral Thermal Infrared Remote Sensing

机译：基于高光谱热红外遥感的内蒙古大柳塔矿区煤田火灾探测研究

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摘要

Daliuta mining coal fires at Inner Mongolia were not reported at present in remote sensing. However, they still pose a serious threat to the surroundings. In order to extract combustion range of the coal mine, we used the wintertime thermal airborne infrared hyperspectral images of TASI acquired in 2016 to detect the coal fire of Daliuta mining. The synchronous in situ measured temperature was used to establish space-to-ground regression equation with the image temperature for retrieving land surface temperature. Extracted coal fire through the reasonable threshold by the processed image data, identified a region where the surface temperatures was -0.5 ℃ to 300 ℃. MODTRAN4 code was used to estimate the upward and downward radiation and transmission of the atmosphere. On this basis, the non-coal fire anomaly areas, such as the cooling water of power plant, heat buildings, chimney, were separated from the coal fire heat anomaly areas by the characteristic difference of the emissivity spectrum in the objectives. The results show that the bands 1-16 of TASI are suitable for infrared inversion temperature for the coalfield fire. There was a linear relationship between synchronous in situ observation temperature and the image temperature, and the determination coefficient R2 was 0.9938. The extracted coal fire anomaly range is able to provide some decision support for underground coal fire extinguishing. A detailed fire map of shallow coal areas can help to prioritize fire fighting operations in order to avoid the chance of starting a new coal fire.
机译：内蒙古大柳塔煤矿的大火目前尚无遥感报道。但是，它们仍然对周围环境构成严重威胁。为了提取煤矿的燃烧范围，我们使用了2016年获得的TASI的冬季热机载红外高光谱图像来检测Daliuta煤矿的煤火。利用同步原位测得的温度与图像温度建立空间对地面的回归方程，以获取地表温度。通过处理后的图像数据通过合理的阈值提取煤火，确定表面温度为-0.5℃至300℃的区域。 MODTRAN4代码用于估计大气的向上和向下辐射和传输。在此基础上，通过物镜发射率谱的特征差异，将发电厂冷却水，热力建筑，烟囱等非煤火异常区与煤火热异常区分开。结果表明，TASI的1-16波段适合于煤田大火的红外反演温度。同步原位观察温度与图像温度之间存在线性关系，测定系数R2为0.9938。提取的煤火异常范围能够为地下煤的灭火提供一定的决策支持。详细的浅煤区域火图可以帮助确定灭火操作的优先级，以避免发生新的煤火的机会。

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