A Tool of Data Analysis and Anomaly Detection for SWARM Satellite Electromagnetic Data

Vyron Christodoulou, Y Bi, FG Wilkie, Guoze Zhao, Bin Han

Research output: Contribution to conferencePoster

Abstract

This work reports the development of a system pipeline for the analysis of the Swam satellite electromagnetic data. Our objective is to provide a streamlined functional tool for analyzing electromagnetic data over regions and investigate the relationship of precursory electromagnetic signals to seismic events. The process of the system pipeline consists of three stages of data extraction, data pre-processing and anomaly detection. To demonstrate the potentials of the tool in applying different kinds of algorithms under an anomaly detection scope of electromagnetic sequential time series data, we select a seismic event under scrutiny is in Ludian, China and occurred on 03/08/2014, and present the usefulness of our approach.
Original languageEnglish
Pages1
Publication statusPublished - 19 Jun 2018
EventThe 2018 Dragon 4 Cooperation Symposium - Xi'an, China
Duration: 19 Jun 201822 Jun 2018

Conference

ConferenceThe 2018 Dragon 4 Cooperation Symposium
CountryChina
CityXi'an
Period19/06/1822/06/18

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