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基于大数据分析的风云卫星遥感区域热辐射特征

Regional Thermal Radiation Characteristics of FY Satellite Remote Sensing Based on Big Data Analysis.

作者信息

Wen Tao, Wei Congxin, Wang Zhenyi, Wang Linzhu, Yang Zihan, Gu Tingting

机构信息

Gansu Computing Center, Lanzhou 730030, China.

School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China.

出版信息

Sensors (Basel). 2023 Oct 13;23(20):8446. doi: 10.3390/s23208446.

DOI:10.3390/s23208446
PMID:37896539
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10610790/
Abstract

It is of great significance to study the thermal radiation anomalies of earthquake swarms in the same area in terms of selecting abnormal characteristic determination parameters, optimizing and determining the processing model, and understanding the abnormal machine. In this paper, we investigated short-term and long-term thermal radiation anomalies induced by earthquake swarms in Iran and Pakistan between 2007 and 2016. The anomalies were extracted from infrared remote sensing black body temperature data from the China Geostationary Meteorological Satellites (FY-2C/2E/2F/2G) using the multiscale time-frequency relative power spectrum (MS T-FRPS) method. By analyzing and summarizing the thermal radiation anomalies of series earthquake groups with consistency law through a stable and reliable MS T-FRPS method, we first obtained the relationship between anomalies and ShakeMaps from USGS and proposed the anomaly regional indicator (ARI) to determine seismic anomalies and the magnitude decision factor (MDF) to determine seismic magnitude. In addition, we explored the following discussions: earthquake impact on regional thermal radiation background and the relationship between thermal anomalies and earthquake magnitude and the like. Future research directions using the MS T-FRPS method to characterize regional thermal radiation anomalies induced by strong earthquakes could help improve the accuracy of earthquake magnitude determination.

摘要

从选择异常特征判定参数、优化并确定处理模型以及了解异常机制等方面研究同一地区地震群的热辐射异常具有重要意义。本文调查了2007年至2016年期间伊朗和巴基斯坦地震群引发的短期和长期热辐射异常。这些异常是利用多尺度时频相对功率谱（MS T-FRPS）方法从中国静止气象卫星（风云二号C/E/F/G）的红外遥感黑体温度数据中提取的。通过稳定可靠的MS T-FRPS方法分析和总结具有一致性规律的系列地震群的热辐射异常，我们首先得到了异常与美国地质调查局（USGS）地震动参数图之间的关系，并提出了用于确定地震异常的异常区域指标（ARI）和用于确定地震震级的震级判定因子（MDF）。此外，我们还探讨了以下问题：地震对区域热辐射背景的影响以及热异常与地震震级之间的关系等。利用MS T-FRPS方法表征强震引发的区域热辐射异常的未来研究方向有助于提高地震震级测定的准确性。

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本文引用的文献

1
Thermal infrared anomalies of several strong earthquakes.几次强震的热红外异常。
ScientificWorldJournal. 2013 Oct 10;2013:208407. doi: 10.1155/2013/208407. eCollection 2013.