[HTML][HTML] A comprehensive multiparametric and multilayer approach to study the preparation phase of large earthquakes from ground to space: The case study of the …

A De Santis, L Perrone, M Calcara… - Remote Sensing of …, 2022 - Elsevier
This work deals with a comprehensive multiparametric and multilayer approach to study
earthquake-related processes that occur during the preparation phase of a large …

Magnetospheric–ionospheric–lithospheric coupling model. 1: Observations during the 5 August 2018 Bayan Earthquake

M Piersanti, M Materassi, R Battiston, V Carbone… - Remote Sensing, 2020 - mdpi.com
The short-term prediction of earthquakes is an essential issue connected with human life
protection and related social and economic matters. Recent papers have provided some …

Disentangling ionospheric refraction and diffraction effects in GNSS raw phase through fast iterative filtering technique

H Ghobadi, L Spogli, L Alfonsi, C Cesaroni, A Cicone… - GPS Solutions, 2020 - Springer
We contribute to the debate on the identification of phase scintillation induced by the
ionosphere on the global navigation satellite system (GNSS) by introducing a phase …

Scientific goals and in-orbit performance of the high-energy particle detector on board the CSES

P Picozza, R Battiston, G Ambrosi… - The Astrophysical …, 2019 - iopscience.iop.org
Abstract The China Seismo-Electromagnetic Satellite (CSES) aims to monitor
electromagnetic, particle, and plasma perturbations in the iono-magnetosphere and inner …

Iterative filtering as a direct method for the decomposition of nonstationary signals

A Cicone - Numerical Algorithms, 2020 - Springer
Abstract The Iterative Filtering method is a technique developed recently for the
decomposition and analysis of nonstationary and nonlinear signals. In this work, we propose …

Multivariate fast iterative filtering for the decomposition of nonstationary signals

A Cicone, E Pellegrino - IEEE Transactions on Signal …, 2022 - ieeexplore.ieee.org
In this work, we present a new technique for the decomposition of multivariate data, which
we call Multivariate Fast Iterative Filtering (MvFIF) algorithm. We study its properties, proving …

Pre-Earthquake Ionospheric Perturbation Identification Using CSES Data via Transfer Learning

P Xiong, C Long, H Zhou, R Battiston… - Frontiers in …, 2021 - frontiersin.org
During the lithospheric buildup to an earthquake, complex physical changes occur within the
earthquake hypocenter. Data pertaining to the changes in the ionosphere may be obtained …

Identification of electromagnetic pre-earthquake perturbations from the DEMETER data by machine learning

P Xiong, C Long, H Zhou, R Battiston, X Zhang… - Remote Sensing, 2020 - mdpi.com
The low-altitude satellite DEMETER recorded many cases of ionospheric perturbations
observed on occasion of large seismic events. In this paper, we explore 16 spot-checking …

The electric field detector on board the China seismo electromagnetic satellite—in-orbit results and validation

P Diego, J Huang, M Piersanti, D Badoni, Z Zeren… - Instruments, 2020 - mdpi.com
The aim of this work is to validate the China Seismo-Electromagnetic Satellite 01 (CSES-01)
Electric Field Detector (EFD) measurements through the analysis of the instrument response …

A lithosphere-atmosphere-ionosphere coupling model for ELF electromagnetic waves radiated from seismic sources and its possibility observed by the CSES

SF Zhao, XH Shen, L Liao, ZM Zeren - Science China Technological …, 2021 - Springer
Over the last century, abnormal electromagnetic (EM) emissions associated with earthquake
(EQ) activities have been widely reported and recorded by ground-based and satellite …