Retrospective Study on Seismic Ionospheric Anomalies Based on Five-Year Observations from CSES
The China Seismo-Electromagnetic Satellite (CSES-01) is the first satellite of the space-based observational platform for the earthquake (EQ) monitoring system in China. It aims to monitor the ionospheric disturbances related to EQ activities by acquiring global electromagnetic fields, ionospheric p...
Gespeichert in:
Veröffentlicht in: | Remote sensing (Basel, Switzerland) Switzerland), 2024-11, Vol.16 (23), p.4426 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 23 |
container_start_page | 4426 |
container_title | Remote sensing (Basel, Switzerland) |
container_volume | 16 |
creator | Yan, Rui Huang, Jianping Lin, Jian Wang, Qiao Zhang, Zhenxia Yang, Yanyan Chu, Wei Liu, Dapeng Xu, Song Lu, Hengxin Pu, Weixing Wang, Lu Zhou, Na Li, Wenjing Tan, Qiao Zhima, Zeren |
description | The China Seismo-Electromagnetic Satellite (CSES-01) is the first satellite of the space-based observational platform for the earthquake (EQ) monitoring system in China. It aims to monitor the ionospheric disturbances related to EQ activities by acquiring global electromagnetic fields, ionospheric plasma, energy particles, etc., opening a new path for innovative explorations of EQ prediction. This study analyzed 47 shallow strong EQ cases (Ms ≥ 7 and depth ≤ 100 km) recorded by CSES-01 from its launch in February 2018 to February 2023. The results show that: (1) For the majority (90%) of shallow strong EQs, at least one payload onboard CSES-01 recorded discernible abnormal signals before the mainshocks, and for over 65% of EQs, two or three payloads simultaneously recorded ionospheric disturbances; (2) the majority of anomalies recorded by different payloads onboard CSES-01 predominantly manifest within one week before or on the mainshock day, or occasionally about 11–15 days or 20–25 days before the mainshock; (3) typically, the abnormal signal detected by CSES-01 does not directly appear overhead the epicenter, but rather hundreds of kilometers away from the epicenter, and more preferably toward the equatorward direction; (4) the anomaly recognition rate of each payload differs, with the highest rate reaching more than 70% for the Electric Field Detector (EFD), Search-Coil Magnetometer (SCM), and Langmuir Probe (LAP); (5) for the different parameters analyzed in this study, the plasma density from LAP, and electromagnetic field in the ULF band recorded by EFD and SCM, and energetic electrons from the High-Energy Particle Package (HEPP) show a relatively high occurrence of abnormal phenomena during the EQ time. Although CSES-01 has recorded prominent ionospheric anomalies for a significant portion of EQ cases, it is still challenging to accurately extract and confirm the real seismic precursor signals by relying solely on a single satellite. The combination of seismology, electromagnetism, geodesy, geochemistry, and other multidisciplinary means is needed in the future’s exploration to get infinitely closer to addressing the global challenge of EQ prediction. |
doi_str_mv | 10.3390/rs16234426 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3144158316</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3144158316</sourcerecordid><originalsourceid>FETCH-LOGICAL-c636-36d1824d916a5ce12ef39cf8b000b10822c42b1d1b25f021ab266a485c4148b3</originalsourceid><addsrcrecordid>eNpNkE1Lw0AQhhdRsNRe_AUL3oTozuxmTY61tFooFIwXL4bNZoIpTbbupoX-e7dU0LnMC_PM18vYLYgHKXPx6ANolEqhvmAjFE-YKMzx8p--ZpMQNiKGlJALNWKfbzR4F3Zkh_ZAvBj29ZG7nhfUhq61fOn6WP0iH_W0d53ZthT4swlUn7BFbEo-yHi-rgL5gxla1wfeeNfxWTEvbthVY7aBJr95zIrF_H32mqzWL8vZdJVYLXUidQ0ZqjoHbVJLgNTI3DZZFQ-tQGSIVmEFNVSYNgLBVKi1UVlqFaiskmN2d5668-57T2EoN27v-7iwlKAUpJkEHan7M2Xjw8FTU-582xl_LEGUJwPLPwPlD4e3Ya4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3144158316</pqid></control><display><type>article</type><title>Retrospective Study on Seismic Ionospheric Anomalies Based on Five-Year Observations from CSES</title><source>DOAJ Directory of Open Access Journals</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Yan, Rui ; Huang, Jianping ; Lin, Jian ; Wang, Qiao ; Zhang, Zhenxia ; Yang, Yanyan ; Chu, Wei ; Liu, Dapeng ; Xu, Song ; Lu, Hengxin ; Pu, Weixing ; Wang, Lu ; Zhou, Na ; Li, Wenjing ; Tan, Qiao ; Zhima, Zeren</creator><creatorcontrib>Yan, Rui ; Huang, Jianping ; Lin, Jian ; Wang, Qiao ; Zhang, Zhenxia ; Yang, Yanyan ; Chu, Wei ; Liu, Dapeng ; Xu, Song ; Lu, Hengxin ; Pu, Weixing ; Wang, Lu ; Zhou, Na ; Li, Wenjing ; Tan, Qiao ; Zhima, Zeren</creatorcontrib><description>The China Seismo-Electromagnetic Satellite (CSES-01) is the first satellite of the space-based observational platform for the earthquake (EQ) monitoring system in China. It aims to monitor the ionospheric disturbances related to EQ activities by acquiring global electromagnetic fields, ionospheric plasma, energy particles, etc., opening a new path for innovative explorations of EQ prediction. This study analyzed 47 shallow strong EQ cases (Ms ≥ 7 and depth ≤ 100 km) recorded by CSES-01 from its launch in February 2018 to February 2023. The results show that: (1) For the majority (90%) of shallow strong EQs, at least one payload onboard CSES-01 recorded discernible abnormal signals before the mainshocks, and for over 65% of EQs, two or three payloads simultaneously recorded ionospheric disturbances; (2) the majority of anomalies recorded by different payloads onboard CSES-01 predominantly manifest within one week before or on the mainshock day, or occasionally about 11–15 days or 20–25 days before the mainshock; (3) typically, the abnormal signal detected by CSES-01 does not directly appear overhead the epicenter, but rather hundreds of kilometers away from the epicenter, and more preferably toward the equatorward direction; (4) the anomaly recognition rate of each payload differs, with the highest rate reaching more than 70% for the Electric Field Detector (EFD), Search-Coil Magnetometer (SCM), and Langmuir Probe (LAP); (5) for the different parameters analyzed in this study, the plasma density from LAP, and electromagnetic field in the ULF band recorded by EFD and SCM, and energetic electrons from the High-Energy Particle Package (HEPP) show a relatively high occurrence of abnormal phenomena during the EQ time. Although CSES-01 has recorded prominent ionospheric anomalies for a significant portion of EQ cases, it is still challenging to accurately extract and confirm the real seismic precursor signals by relying solely on a single satellite. The combination of seismology, electromagnetism, geodesy, geochemistry, and other multidisciplinary means is needed in the future’s exploration to get infinitely closer to addressing the global challenge of EQ prediction.</description><identifier>ISSN: 2072-4292</identifier><identifier>EISSN: 2072-4292</identifier><identifier>DOI: 10.3390/rs16234426</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Altitude ; Anomalies ; Case studies ; Data processing ; Earthquake prediction ; Earthquakes ; Electric fields ; Electromagnetic fields ; Electromagnetism ; Geochemistry ; Geodesy ; Ionosphere ; Ionospheric disturbances ; Lithosphere ; Payloads ; Plasma density ; Satellite observation ; Satellites ; Seismic activity ; Seismology</subject><ispartof>Remote sensing (Basel, Switzerland), 2024-11, Vol.16 (23), p.4426</ispartof><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-7512-9015</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,865,27926,27927</link.rule.ids></links><search><creatorcontrib>Yan, Rui</creatorcontrib><creatorcontrib>Huang, Jianping</creatorcontrib><creatorcontrib>Lin, Jian</creatorcontrib><creatorcontrib>Wang, Qiao</creatorcontrib><creatorcontrib>Zhang, Zhenxia</creatorcontrib><creatorcontrib>Yang, Yanyan</creatorcontrib><creatorcontrib>Chu, Wei</creatorcontrib><creatorcontrib>Liu, Dapeng</creatorcontrib><creatorcontrib>Xu, Song</creatorcontrib><creatorcontrib>Lu, Hengxin</creatorcontrib><creatorcontrib>Pu, Weixing</creatorcontrib><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>Zhou, Na</creatorcontrib><creatorcontrib>Li, Wenjing</creatorcontrib><creatorcontrib>Tan, Qiao</creatorcontrib><creatorcontrib>Zhima, Zeren</creatorcontrib><title>Retrospective Study on Seismic Ionospheric Anomalies Based on Five-Year Observations from CSES</title><title>Remote sensing (Basel, Switzerland)</title><description>The China Seismo-Electromagnetic Satellite (CSES-01) is the first satellite of the space-based observational platform for the earthquake (EQ) monitoring system in China. It aims to monitor the ionospheric disturbances related to EQ activities by acquiring global electromagnetic fields, ionospheric plasma, energy particles, etc., opening a new path for innovative explorations of EQ prediction. This study analyzed 47 shallow strong EQ cases (Ms ≥ 7 and depth ≤ 100 km) recorded by CSES-01 from its launch in February 2018 to February 2023. The results show that: (1) For the majority (90%) of shallow strong EQs, at least one payload onboard CSES-01 recorded discernible abnormal signals before the mainshocks, and for over 65% of EQs, two or three payloads simultaneously recorded ionospheric disturbances; (2) the majority of anomalies recorded by different payloads onboard CSES-01 predominantly manifest within one week before or on the mainshock day, or occasionally about 11–15 days or 20–25 days before the mainshock; (3) typically, the abnormal signal detected by CSES-01 does not directly appear overhead the epicenter, but rather hundreds of kilometers away from the epicenter, and more preferably toward the equatorward direction; (4) the anomaly recognition rate of each payload differs, with the highest rate reaching more than 70% for the Electric Field Detector (EFD), Search-Coil Magnetometer (SCM), and Langmuir Probe (LAP); (5) for the different parameters analyzed in this study, the plasma density from LAP, and electromagnetic field in the ULF band recorded by EFD and SCM, and energetic electrons from the High-Energy Particle Package (HEPP) show a relatively high occurrence of abnormal phenomena during the EQ time. Although CSES-01 has recorded prominent ionospheric anomalies for a significant portion of EQ cases, it is still challenging to accurately extract and confirm the real seismic precursor signals by relying solely on a single satellite. The combination of seismology, electromagnetism, geodesy, geochemistry, and other multidisciplinary means is needed in the future’s exploration to get infinitely closer to addressing the global challenge of EQ prediction.</description><subject>Altitude</subject><subject>Anomalies</subject><subject>Case studies</subject><subject>Data processing</subject><subject>Earthquake prediction</subject><subject>Earthquakes</subject><subject>Electric fields</subject><subject>Electromagnetic fields</subject><subject>Electromagnetism</subject><subject>Geochemistry</subject><subject>Geodesy</subject><subject>Ionosphere</subject><subject>Ionospheric disturbances</subject><subject>Lithosphere</subject><subject>Payloads</subject><subject>Plasma density</subject><subject>Satellite observation</subject><subject>Satellites</subject><subject>Seismic activity</subject><subject>Seismology</subject><issn>2072-4292</issn><issn>2072-4292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNkE1Lw0AQhhdRsNRe_AUL3oTozuxmTY61tFooFIwXL4bNZoIpTbbupoX-e7dU0LnMC_PM18vYLYgHKXPx6ANolEqhvmAjFE-YKMzx8p--ZpMQNiKGlJALNWKfbzR4F3Zkh_ZAvBj29ZG7nhfUhq61fOn6WP0iH_W0d53ZthT4swlUn7BFbEo-yHi-rgL5gxla1wfeeNfxWTEvbthVY7aBJr95zIrF_H32mqzWL8vZdJVYLXUidQ0ZqjoHbVJLgNTI3DZZFQ-tQGSIVmEFNVSYNgLBVKi1UVlqFaiskmN2d5668-57T2EoN27v-7iwlKAUpJkEHan7M2Xjw8FTU-582xl_LEGUJwPLPwPlD4e3Ya4</recordid><startdate>20241126</startdate><enddate>20241126</enddate><creator>Yan, Rui</creator><creator>Huang, Jianping</creator><creator>Lin, Jian</creator><creator>Wang, Qiao</creator><creator>Zhang, Zhenxia</creator><creator>Yang, Yanyan</creator><creator>Chu, Wei</creator><creator>Liu, Dapeng</creator><creator>Xu, Song</creator><creator>Lu, Hengxin</creator><creator>Pu, Weixing</creator><creator>Wang, Lu</creator><creator>Zhou, Na</creator><creator>Li, Wenjing</creator><creator>Tan, Qiao</creator><creator>Zhima, Zeren</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-7512-9015</orcidid></search><sort><creationdate>20241126</creationdate><title>Retrospective Study on Seismic Ionospheric Anomalies Based on Five-Year Observations from CSES</title><author>Yan, Rui ; Huang, Jianping ; Lin, Jian ; Wang, Qiao ; Zhang, Zhenxia ; Yang, Yanyan ; Chu, Wei ; Liu, Dapeng ; Xu, Song ; Lu, Hengxin ; Pu, Weixing ; Wang, Lu ; Zhou, Na ; Li, Wenjing ; Tan, Qiao ; Zhima, Zeren</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c636-36d1824d916a5ce12ef39cf8b000b10822c42b1d1b25f021ab266a485c4148b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Altitude</topic><topic>Anomalies</topic><topic>Case studies</topic><topic>Data processing</topic><topic>Earthquake prediction</topic><topic>Earthquakes</topic><topic>Electric fields</topic><topic>Electromagnetic fields</topic><topic>Electromagnetism</topic><topic>Geochemistry</topic><topic>Geodesy</topic><topic>Ionosphere</topic><topic>Ionospheric disturbances</topic><topic>Lithosphere</topic><topic>Payloads</topic><topic>Plasma density</topic><topic>Satellite observation</topic><topic>Satellites</topic><topic>Seismic activity</topic><topic>Seismology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yan, Rui</creatorcontrib><creatorcontrib>Huang, Jianping</creatorcontrib><creatorcontrib>Lin, Jian</creatorcontrib><creatorcontrib>Wang, Qiao</creatorcontrib><creatorcontrib>Zhang, Zhenxia</creatorcontrib><creatorcontrib>Yang, Yanyan</creatorcontrib><creatorcontrib>Chu, Wei</creatorcontrib><creatorcontrib>Liu, Dapeng</creatorcontrib><creatorcontrib>Xu, Song</creatorcontrib><creatorcontrib>Lu, Hengxin</creatorcontrib><creatorcontrib>Pu, Weixing</creatorcontrib><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>Zhou, Na</creatorcontrib><creatorcontrib>Li, Wenjing</creatorcontrib><creatorcontrib>Tan, Qiao</creatorcontrib><creatorcontrib>Zhima, Zeren</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Remote sensing (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yan, Rui</au><au>Huang, Jianping</au><au>Lin, Jian</au><au>Wang, Qiao</au><au>Zhang, Zhenxia</au><au>Yang, Yanyan</au><au>Chu, Wei</au><au>Liu, Dapeng</au><au>Xu, Song</au><au>Lu, Hengxin</au><au>Pu, Weixing</au><au>Wang, Lu</au><au>Zhou, Na</au><au>Li, Wenjing</au><au>Tan, Qiao</au><au>Zhima, Zeren</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Retrospective Study on Seismic Ionospheric Anomalies Based on Five-Year Observations from CSES</atitle><jtitle>Remote sensing (Basel, Switzerland)</jtitle><date>2024-11-26</date><risdate>2024</risdate><volume>16</volume><issue>23</issue><spage>4426</spage><pages>4426-</pages><issn>2072-4292</issn><eissn>2072-4292</eissn><abstract>The China Seismo-Electromagnetic Satellite (CSES-01) is the first satellite of the space-based observational platform for the earthquake (EQ) monitoring system in China. It aims to monitor the ionospheric disturbances related to EQ activities by acquiring global electromagnetic fields, ionospheric plasma, energy particles, etc., opening a new path for innovative explorations of EQ prediction. This study analyzed 47 shallow strong EQ cases (Ms ≥ 7 and depth ≤ 100 km) recorded by CSES-01 from its launch in February 2018 to February 2023. The results show that: (1) For the majority (90%) of shallow strong EQs, at least one payload onboard CSES-01 recorded discernible abnormal signals before the mainshocks, and for over 65% of EQs, two or three payloads simultaneously recorded ionospheric disturbances; (2) the majority of anomalies recorded by different payloads onboard CSES-01 predominantly manifest within one week before or on the mainshock day, or occasionally about 11–15 days or 20–25 days before the mainshock; (3) typically, the abnormal signal detected by CSES-01 does not directly appear overhead the epicenter, but rather hundreds of kilometers away from the epicenter, and more preferably toward the equatorward direction; (4) the anomaly recognition rate of each payload differs, with the highest rate reaching more than 70% for the Electric Field Detector (EFD), Search-Coil Magnetometer (SCM), and Langmuir Probe (LAP); (5) for the different parameters analyzed in this study, the plasma density from LAP, and electromagnetic field in the ULF band recorded by EFD and SCM, and energetic electrons from the High-Energy Particle Package (HEPP) show a relatively high occurrence of abnormal phenomena during the EQ time. Although CSES-01 has recorded prominent ionospheric anomalies for a significant portion of EQ cases, it is still challenging to accurately extract and confirm the real seismic precursor signals by relying solely on a single satellite. The combination of seismology, electromagnetism, geodesy, geochemistry, and other multidisciplinary means is needed in the future’s exploration to get infinitely closer to addressing the global challenge of EQ prediction.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/rs16234426</doi><orcidid>https://orcid.org/0000-0002-7512-9015</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2072-4292 |
ispartof | Remote sensing (Basel, Switzerland), 2024-11, Vol.16 (23), p.4426 |
issn | 2072-4292 2072-4292 |
language | eng |
recordid | cdi_proquest_journals_3144158316 |
source | DOAJ Directory of Open Access Journals; MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals |
subjects | Altitude Anomalies Case studies Data processing Earthquake prediction Earthquakes Electric fields Electromagnetic fields Electromagnetism Geochemistry Geodesy Ionosphere Ionospheric disturbances Lithosphere Payloads Plasma density Satellite observation Satellites Seismic activity Seismology |
title | Retrospective Study on Seismic Ionospheric Anomalies Based on Five-Year Observations from CSES |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T11%3A44%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Retrospective%20Study%20on%20Seismic%20Ionospheric%20Anomalies%20Based%20on%20Five-Year%20Observations%20from%20CSES&rft.jtitle=Remote%20sensing%20(Basel,%20Switzerland)&rft.au=Yan,%20Rui&rft.date=2024-11-26&rft.volume=16&rft.issue=23&rft.spage=4426&rft.pages=4426-&rft.issn=2072-4292&rft.eissn=2072-4292&rft_id=info:doi/10.3390/rs16234426&rft_dat=%3Cproquest_cross%3E3144158316%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3144158316&rft_id=info:pmid/&rfr_iscdi=true |