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。
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.
作者
孟亚飞
孟庆岩
张颖
周世健
刘文宝
Meng Yafei;Meng Qingyan;Zhang Ying;Zhou Shijian;Liu Wenbao(Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100012,China;Nanchang Hangkong University,Nanchang 330013,China)
出处
《地震学报》
CSCD
北大核心
2021年第1期124-135,共12页
Acta Seismologica Sinica
基金
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)
四川省科技计划项目(2018JZ0054)共同资助。
关键词
地震
热异常
多时相遥感数据
RST算法
时空分析
earthquake
thermal anomaly
multi-temporal remote sensing data
RST algorithm
spatio-temporal analysis
作者简介
通信作者:孟庆岩,e-mail:mengqy@radi.ac.cn。
