Analysis of Swarm Satellite Magnetic Field Data for the 2015 Mw 7.8 Nepal Earthquake Based on Nonnegative Tensor Decomposition-Reference-Cited by-同舟云学术

Analysis of Swarm Satellite Magnetic Field Data for the 2015 Mw 7.8 Nepal Earthquake Based on Nonnegative Tensor Decomposition

Published:2022 Issue: Volume:60 Page:1-19
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Fan Mengxuan¹^ORCID,Zhu Kaiguang¹^ORCID,De Santis Angelo²^ORCID,Marchetti Dedalo¹^ORCID,Cianchini Gianfranco²,Piscini Alessandro²^ORCID,He Xiaodan¹,Wen Jiami¹,Wang Ting¹,Zhang Yiqun¹,Cheng Yuqi¹

Affiliation:

1. College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China

2. Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy

Funder

National Natural Science Foundation of China

China Scholarship Council

International Cooperation Project of the Department of Science and Technology of Jilin Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09850372.pdf?arnumber=9850372

Reference103 articles.

1. Developing a Deep Learning-Based Detector of Magnetic, Ne, Te and TEC Anomalies from Swarm Satellites: The Case of Mw 7.1 2021 Japan Earthquake

2. Swarm-TEC Satellite Measurements as a Potential Earthquake Precursor Together With Other Swarm and CSES Data: The Case of Mw7.6 2019 Papua New Guinea Seismic Event

3. Analysis of Swarm Satellite Magnetic Field Data Before the 2016 Ecuador (Mw = 7.8) Earthquake Based on Non-negative Matrix Factorization

4. Multi precursors analysis associated with the powerful Ecuador (MW= 7.8) earthquake of 16 April 2016 using Swarm satellites data in conjunction with other multi-platform satellite and ground data

5. Precursor Analysis Associated With the Ecuador Earthquake Using Swarm A and C Satellite Magnetic Data Based on PCA

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