基于不同时空尺度多源遥感数据的新疆于田地区地震热异常分析

doi:10.12196/j.issn.1000-3274.2022.03.003

地震 ›› 2022, Vol. 42 ›› Issue (3): 37-51.doi: 10.12196/j.issn.1000-3274.2022.03.003

基于不同时空尺度多源遥感数据的新疆于田地区地震热异常分析

杜宸¹, 孙珂^1,2

1.中国地震局地震预测研究所, 北京 100036;
2.地震动力学国家重点实验室, 中国地震局地质研究所, 北京 100029

收稿日期:2021-07-15 修回日期:2021-11-15 出版日期:2022-07-31 发布日期:2023-03-29
通讯作者: 孙珂, 研究员。 E-mail: sunke@ief.ac.cn
作者简介:杜宸(1997-), 男, 山东泰安人, 在读硕士研究生, 主要从事地震热红外遥感研究。
基金资助:
地震动力学国家重点实验室开放基金项目(LED2019B03); 国家重点研发计划项目(2019YFC1509202)

Analysis of Seismic Thermal Anomaly in Yutian Area of Xinjiang, China Based on Multi-Source Remote Sensing Data of Different Spatial and Temporal Scales

DU Chen¹, SUN Ke^1,2

1. Institute of Earthquake Forecasting, CEA, Beijing 100036, China;
2. State Key Laboratory of Earthquake Dynamics, Institute of Geology, CEA, Beijing 100029, China

Received:2021-07-15 Revised:2021-11-15 Online:2022-07-31 Published:2023-03-29

摘要/Abstract

摘要： 针对2000年以来新疆于田地区5次M_S5.0以上地震, 采用MODIS地表温度数据与NOAA卫星长波辐射数据, 从不同时间、空间尺度对震前热红外异常特征进行提取和分析。研究结果表明, 5次地震的两种数据均提取出明显的热异常, 两种数据异常提取结果具有一定的时空关联。基于以上不同时空尺度热红外特征分析结果, 总结提出了一种多时空尺度的异常判别方法。基于该方法对于田及周边地区2018—2020年连续3年的热红外数据进行扫描, 开展M_S5.0以上地震热红外异常的回溯性检验应用, 共检验出19次异常, 其中12次对应地震发生, 7次错报, 此外有7次漏报。通过不同时空尺度多源遥感数据对震前热红外异常特征进行综合提取, 能够减轻环境因素干扰, 提取出有效的热异常特征。以上研究结果可为多时空尺度地震热红外异常判别提供支撑。

关键词: MODIS, OLR, 于田地震, 热异常, RST算法, 回溯性检验

Abstract: Based on the MODIS land surface temperature data and NOAA outgoing longwave radiation data of 5 earthquakes with M_S5.0 or above in Yutian area since 2000, the characteristics of thermal infrared anomalies before earthquakes are extracted and analyzed from different time and space scales. The results show that obvious thermal anomalies are extracted from the two kinds of data of the five earthquakes, and the extraction results of the two data anomalies have a certain temporal and spatial correlation. Based on the above analysis results of thermal infrared characteristics of different spatial and temporal scales, an multi spatial and temporal scale anomaly discrimination method is summarized and put forward. Based on this method, the thermal infrared data of the field and its surrounding areas from 2018 to 2020 are scanned, and the retrospective test application of thermal infrared anomalies of earthquakes above M_S5.0 is carried out. A total of 19 anomalies are detected, including 12 corresponding earthquakes, 7 false reports. In addition, there are 7 missed reports. The comprehensive extraction of thermal infrared anomaly features from multi-source remote sensing data of different spatial and temporal scales can reduce the interference of environmental factors and extract effective thermal anomaly features. The above research results provide support for the identification of seismic thermal infrared anomalies in multi temporal and spatial scales.

Key words: MODIS, OLR, Yutian earthquake, Thermal anomaly, RST, Retrospective test

中图分类号:

P315.7

杜宸, 孙珂. 基于不同时空尺度多源遥感数据的新疆于田地区地震热异常分析[J]. 地震, 2022, 42(3): 37-51.

DU Chen, SUN Ke. Analysis of Seismic Thermal Anomaly in Yutian Area of Xinjiang, China Based on Multi-Source Remote Sensing Data of Different Spatial and Temporal Scales[J]. EARTHQUAKE, 2022, 42(3): 37-51.

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基于不同时空尺度多源遥感数据的新疆于田地区地震热异常分析

Analysis of Seismic Thermal Anomaly in Yutian Area of Xinjiang, China Based on Multi-Source Remote Sensing Data of Different Spatial and Temporal Scales

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