广东地区山火识别方法及其在电网中的应用
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广东电网公司电力科学研究院重点科研项目“输电线路山火风险综合评估项目”(GDKJXM20173024)资助


Wildfire Identification in Guangdong and Its Application in Power Grid
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    摘要:

    广东省电网分布密集,覆盖范围广,下垫面地表环境复杂,因此容易遭受自然灾害的侵袭。山火作为灾害之一,对输电线路影响较大,及时有效地实现对山火的监测预警具有重大意义。本文在MODIS山火识别原理的基础上对广东地区进行山火卫星遥感监测,为提高监测精度,文中分别基于时间、空间、云覆盖程度等因素进行了广东省及周边地区2017年典型火点亮温及背景亮温的统计,在此基础上得到更符合当地火点判识标准的阈值表。经验证,该方法在2017年4月3日广东省及周边火点的自动判识中精度可达90.5%,并且多次在广东省电网山火监测中发挥了预警作用。

    Abstract:

    The power grid in Guangdong Province is densely distributed and covers a wide area. The surface environment is complex, so it is vulnerable to natural disasters. As one of the disasters, wildfires have a great impact on the electric transmission lines, and it is of great significance to realize the monitoring and early warning of wildfires in a timely and effective manner. In this paper, based on the principles of MODIS mountain fire identification, the satellite remote sensing monitoring of mountain fires in Guangdong is carried out. In order to improve the monitoring accuracy, the brightness and background brightness temperature of typical fire points in 2017 in Guangdong Province are calculated based on factors such as time, space and cloud coverage. According to the statistical results, the threshold value applicable to the local fire point identification is obtained. It is verified that the accuracy of this method can reach 905% in the automatic identification of fire spots in Guangdong Province and surrounding areas on 3 April 2017, and this method has played an early warning role in the monitoring of mountain fires in Guangdong Province.

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周恩泽,黄勇,陈洁,魏瑞增,王彤,隋三义.广东地区山火识别方法及其在电网中的应用[J].气象科技,2020,48(1):132~140

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历史
  • 收稿日期:2019-01-14
  • 定稿日期:2019-07-22
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  • 在线发布日期: 2020-02-26
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