基于ASTER数据的煤田火区温度异常信息提取方法研究——以新疆轮台县阳霞火区为例

Study on Coal Fire Area Land Surface Temperature Anomaly Information Extraction from ASTER Satellite Images——A Case Study of Yangxia Coal Fire Area in Luntai County,Xinjiang

为了检测煤田火区引起的地面温度异常地区,利用热红外遥感的手段,在讨论了ASTER数据地表温度反演的方法的基础上,应用ASTER热红外波段数据反演地表温度,把得到的温度影像进行阈值分割来提取地表温度异常信息,然后与实地测量得到的该区域的地表火区分布情况进行了对比验证。试验表明:从ASTER卫星图像上提取的温度异常区和实地测量圈定的煤田火区分布位置具有较好的对应关系。

In order to detect the land surface temperature anomalous area caused by the underground coal fire, the thermal infrared remote sensing method is used. On the basis of ground temperature inversion from ASTER satellite image method discussion, we get land surface temperature image of coal fire area from ASTER thermal infrared band. Then make threshold segmentation to get thermal anomaly information caused by coal fire and compare with coal fire distribution map get by in situ measurement. The exper/mentation result shows that the temperature anomalous area extracted from ASTER thermal infrared band have a good corresponding relationship with coal fire distribution map getting from on the spot measurement.