Regional Thermal Radiation Characteristics of FY Satellite Remote Sensing Based on Big Data Analysis
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 s...
| Main Authors: | , , , , , |
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| Format: | Article |
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MDPI AG
2023-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/20/8446 |
| _version_ | 1797572318837342208 |
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| author | Tao Wen Congxin Wei Zhenyi Wang Linzhu Wang Zihan Yang Tingting Gu |
| author_facet | Tao Wen Congxin Wei Zhenyi Wang Linzhu Wang Zihan Yang Tingting Gu |
| author_sort | Tao Wen |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T20:54:34Z |
| format | Article |
| id | doaj.art-470c21de114e44f7b7b2af438cdcce65 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T20:54:34Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-470c21de114e44f7b7b2af438cdcce652023-11-19T18:03:02ZengMDPI AGSensors1424-82202023-10-012320844610.3390/s23208446Regional Thermal Radiation Characteristics of FY Satellite Remote Sensing Based on Big Data AnalysisTao Wen0Congxin Wei1Zhenyi Wang2Linzhu Wang3Zihan Yang4Tingting Gu5Gansu Computing Center, Lanzhou 730030, ChinaSchool of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, ChinaSchool of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, ChinaGansu Computing Center, Lanzhou 730030, ChinaGansu Computing Center, Lanzhou 730030, ChinaGansu Zijin Cloud Big Data Development Co., Ltd., Jinchang 737100, ChinaIt 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.https://www.mdpi.com/1424-8220/23/20/8446satellite thermal radiation remote sensingmultiscale time-frequency relative power spectrum analysisthermal radiation backgroundthermal anomaly |
| spellingShingle | Tao Wen Congxin Wei Zhenyi Wang Linzhu Wang Zihan Yang Tingting Gu Regional Thermal Radiation Characteristics of FY Satellite Remote Sensing Based on Big Data Analysis Sensors satellite thermal radiation remote sensing multiscale time-frequency relative power spectrum analysis thermal radiation background thermal anomaly |
| title | Regional Thermal Radiation Characteristics of FY Satellite Remote Sensing Based on Big Data Analysis |
| title_full | Regional Thermal Radiation Characteristics of FY Satellite Remote Sensing Based on Big Data Analysis |
| title_fullStr | Regional Thermal Radiation Characteristics of FY Satellite Remote Sensing Based on Big Data Analysis |
| title_full_unstemmed | Regional Thermal Radiation Characteristics of FY Satellite Remote Sensing Based on Big Data Analysis |
| title_short | Regional Thermal Radiation Characteristics of FY Satellite Remote Sensing Based on Big Data Analysis |
| title_sort | regional thermal radiation characteristics of fy satellite remote sensing based on big data analysis |
| topic | satellite thermal radiation remote sensing multiscale time-frequency relative power spectrum analysis thermal radiation background thermal anomaly |
| url | https://www.mdpi.com/1424-8220/23/20/8446 |
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