测绘通报 ›› 2018, Vol. 0 ›› Issue (3): 93-97.doi: 10.13474/j.cnki.11-2246.2018.0083

• 行业观察 • 上一篇    下一篇

利用Landsat热红外影像探测地下煤火区范围——以乌达煤田为例

张志敏1,2, 江利明1,2, 柳林1,3, 汪汉胜1,2   

  1. 1. 中国科学院测量与地球物理研究所大地测量与地球动力学国家重点实验室, 湖北 武汉 430077;
    2. 中国科学院大学, 北京 100049;
    3. 华中科技大学物理学院, 湖北 武汉 430074
  • 收稿日期:2017-06-23 修回日期:2017-09-15 出版日期:2018-03-25 发布日期:2018-04-03
  • 作者简介:张志敏(1989-),女,博士生,主要研究方向为热红外遥感和山地冰川物质、能量平衡等。E-mail:zhangzhimin12@mails.ucas.ac.cn
  • 基金资助:

    中科院战略性先导科技专项(XDA05030200);中科院百人计划项目(Y205771077)

Detecting the Underground Coal Fire by Using Landsat Thermal Infrared Imagery-Taking Wuda Coalfield as an Example

ZHANG Zhimin1,2, JIANG Liming1,2, LIU Lin1,3, WANG Hansheng1,2   

  1. 1. State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China;
    2. University of the Chinese Academy of Sciences, Beijing 100049, China;
    3. School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China
  • Received:2017-06-23 Revised:2017-09-15 Online:2018-03-25 Published:2018-04-03

摘要:

以Landsat系列热红外影像为主要数据源,采用阈值分析技术,提取了乌达煤田2002年、2007年和2013年地下煤火燃烧范围。结果表明,大规模的煤田开采活动导致2007年火区面积比2002年增加将近一倍,但随着2010年大范围灭火工作的展开,到2013年火区灾情得到了有效遏制。与地面实测数据相比较,遥感估算的火区面积误差为5%~10%,但白天太阳辐射导致地表温度反演精度低于夜间,煤火区虚检率偏高。Landsat系列数据以其空间分辨率高、重访周期短、覆盖范围大等优势,在煤田火区动态监测方面具有突出的应用潜力。

关键词: Landsat, 乌达煤火, 热红外遥感, 地表温度

Abstract:

In this paper,we use the threshold analysis technique to extract coal fire area of 2002,2007 and 2013 in Wuda coalfield on the basis of Landsat thermal infrared dataset.The results show that the coal fire area in 2007 is nearly doubled of that in 2002 due to extensive coal extraction,however,the coal fire in 2013 is effectively limited because of the extinguishing activities since 2010.Comparisons with the in-situ data manifest the error estimated by remote sensing is about 5%~10%,and solar radiation in the day leads lower inversion accuracy than the night,which causing higher virtual screening rate.Landsat imageries have important application potential in coal fire dynamic monitoring with its advantage of high spatial resolution,short revisiting cycle and large coverage.

Key words: Landsat, Wuda coal fire, thermal infrared remote sensing, land surface temperature

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