基于夜间多时相遥感数据的热异常与地震的相关性

孟亚飞, 孟庆岩, 张颖, 周世健, 刘文宝

孟亚飞, 孟庆岩, 张颖, 周世健, 刘文宝. 2021: 基于夜间多时相遥感数据的热异常与地震的相关性. 地震学报, 43(1): 124-135. DOI: 10.11939/jass.20200009
引用本文: 孟亚飞, 孟庆岩, 张颖, 周世健, 刘文宝. 2021: 基于夜间多时相遥感数据的热异常与地震的相关性. 地震学报, 43(1): 124-135. DOI: 10.11939/jass.20200009
Meng Yafei, Meng Qingyan, Zhang Ying, Zhou Shijian, Liu Wenbao. 2021: Correlation between thermal anomalies and earthquakes based on nighttime multi-temporal remote sensing data. Acta Seismologica Sinica, 43(1): 124-135. DOI: 10.11939/jass.20200009
Citation: Meng Yafei, Meng Qingyan, Zhang Ying, Zhou Shijian, Liu Wenbao. 2021: Correlation between thermal anomalies and earthquakes based on nighttime multi-temporal remote sensing data. Acta Seismologica Sinica, 43(1): 124-135. DOI: 10.11939/jass.20200009

基于夜间多时相遥感数据的热异常与地震的相关性

基金项目: 国家重点研发计划(2019YFC1509202)、国家高分辨率对地观测重大科技专项项目(05-Y30B01-9001-19/20-1)和四川省科技计划项目(2018JZ0054)共同资助
详细信息
    通讯作者:

    孟庆岩: e-mail:mengqy@radi.ac.cn

  • 中图分类号: P314.2

Correlation between thermal anomalies and earthquakes based on nighttime multi-temporal remote sensing data

  • 摘要: 本文使用第二代欧洲气象卫星MSG搭载的SEVIRI传感器数据,基于卫星数据稳健分析技术提取了意大利地区2015—2017年间的三次热异常,并在此基础上增加热异常的判定条件,利用静止气象卫星的高时间分辨率特性,基于夜间多时相遥感数据探究热异常与地震的相关性。结果显示:通过夜间多时相遥感数据均值可更清晰地展示出研究区热异常的时空变化,基于改进后的判定条件可以有效地判断热异常是否可能与地震有关。此外,夜间多时相热异常的时空分布研究表明,云层的扩散与消失可能对热异常提取结果有重要影响。
    Abstract: This paper uses the SEVIRI sensor data carried by the second-generation European meteorological satellite MSG to extract the three times thermal anomalies in Italy during the period from 2015 to 2017 based on the robust analysis technology of satellite data, and on this basis, increases a thermal anomaly judgment condition. Taking the high time resolution of the stationary meteorological satellite into consideration, this paper explores the correlation between thermal anomalies and earthquakes based on the characteristics of multi-temporal remote sensing data at night. The results show that the temporal and spatial changes of thermal anomalies in the study area can be displayed more clearly by the multi-temporal mean value of remote sensing data at night, and the improved determination conditions can effectively determine whether the thermal anomalies may be related to earthquakes. In addition, the studies on the temporal and spatial distribution of nighttime multi-temporal thermal anomalies indicate that the spread and disappearance of clouds may have an important impact on the extraction results of thermal anomalies.
  • 图  1   意大利三次夜间均值热异常分布

    (a) 2015年5月6日和7日;(b) 2016年1月9日和12日;(c) 2017年3月21日和23日

    Figure  1.   Three nightly mean thermal anomalies in Italy

    (a) On May 6 and 7,2015;(b) On January 9 and 12,2016;(c) On March 21 and 23,2017

    图  2   意大利地区2015年5月6日和7日多时刻热异常时空分布

    Figure  2.   Spatio-temporal distribution of multi-time thermal anomalies in Italy on May 6 and 7,2015

    图  3   意大利地区2016年1月9日和12日多时刻热异常时空分布

    Figure  3.   Spatio-temporal distribution of the multi-time thermal anomalies in Italy on 9 and 12 January 2016

    图  4   意大利地区2017年3月21日和23日多时刻热异常时空分布

    Figure  4.   Spatio-temporal distribution of thermal anomalies in Italy at multiple times on March 21 and 23,2017

    图  5   意大利三次多时刻云层及热异常面积统计

    (a) 2015年5月6日和7日;(b) 2016年1月9日和12日;(c) 2017年3月21日和23日

    Figure  5.   Statistics of three multi-temporal cloud cover and thermal anomalies in Italy

    (a) On May 6 and May 7,2015;(b) On January 9 and January 12,2016;(c) On March 21 and 23,2017

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出版历程
  • 收稿日期:  2020-01-15
  • 修回日期:  2020-04-25
  • 网络出版日期:  2021-03-24
  • 发布日期:  2021-01-14

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