乌鲁木齐东侧煤火多源遥感融合探测

    Multi-source Remote Sensing Fusion Detection of Coal Fire in Eastern Urumchi

    • 摘要: 目前新疆有8大煤火区,且火区增长速度快、隐蔽火区日益增多,因此需要更加快速地探测新疆煤火区的范围。以InSAR与热红外技术为基础,首先采用PS时序方法和普适性单通道算法获得研究区的沉降和温度信息,接着通过设定合理的阈值获取温度异常区域并提取相邻时间的反演结果进行验证,最后通过沉降和温度信息对火区分布进行综合分析。结果表明:此方法能判定出疑似火区分布。

       

      Abstract: There are eight coal-fired areas in Xinjiang, and the growth rate of fire areas is fast and the number of hidden fire areas is increasing day by day. Therefore, the range of Xinjiang coal fire areas needs to be monitored more accurately and quickly. This paper is based on Time Series InSAR and thermal infrared technology. Firstly, the settlement and temperature information of the study area was obtained by PS timing method and universal single-channel algorithm. Then, the temperature anomaly area was obtained by setting a reasonable threshold and the inversion results of adjacent time were extracted for verification. Finally, the distribution of fire area was comprehensively analyzed by means of settlement and temperature information. The results show that this method can determine the distribution of suspected fire zones.

       

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