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Using Remote Sensing Satellites to Explore the Electromagnetic Environment and Natural Hazard Disturbances in Space

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".

Deadline for manuscript submissions: closed (26 June 2024) | Viewed by 2945

Special Issue Editors


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Guest Editor
Institute of Cosmophysical Research and Radio Wave Propagation FEB RAS, 684034 Kamchatka Region, Elizovskiy District, Paratunka, Mirnaya str., 7, Paratunka 684034, Russia
Interests: the electromagnetic wave; earthquake/space weather disturbances in the ionosphere; electromagnetism satellite

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Guest Editor

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Guest Editor
National Institute of Natural Hazards, MEMC, Beijing 100085, China
Interests: the electromagnetic wave; earthquake/space weather disturbances in ionosphere; electromagnetism satellite

Special Issue Information

Dear Colleagues,

This Special Issue aims to take full advantage of current operating electromagnetic measurements and other related remote sensing satellites (e.g., infrared, hyperspectral, GNSS, etc.), to study the electromagnetic environment in space, and to explore the natural hazards (e.g., earthquakes, volcanic eruptions, tsunamis, typhoons, and hurricanes or space weather events, etc.) monitoring methods and technology.

At present, there are plenty of satellites (e.g., DMSP, NOAA, Swarm, CSES, FORMOSAT, COSMIC, etc.) operating in near-earth space, providing us with the multi-physical values to explore the near-space electromagnetic environment in terms of the occurrence of the electromagnetic waves and fields, the variation features of the plasma parameters, energetic particles fluxes, etc. Based on the knowledge of the electromagnetic environment in space, we can study how to extract the anomaly information or precursors of natural hazards. Research topics may include (but are not limited to) the following:

  • Data processing, validation, and evaluation methods of measurements, including electromagnetic satellites, GNSS/Radar, Infrared/Hyperspectral satellites.
  • Background features of the electromagnetic environment under different space weather conditions.
  • Case and statistical observations analysis on natural hazards from multi-source data.
  • Theory and modeling of electromagnetic and thermodynamic effects before, during and after the occurrence of natural hazards.
  • The latest developments in the predictability of earthquakes, volcanoes, tsunamis, and typhoons based on both ground and space stereoscopic monitoring.

Dr. Sergey Smirnov
Prof. Dr. Angelo De Santis
Prof. Dr. Zeren Zhima
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • electromagnetism satellite
  • infrared/hyperspectral remote sensing
  • GNSS technology
  • the electromagnetic environment
  • natural hazards monitoring

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Published Papers (3 papers)

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Research

22 pages, 2843 KiB  
Article
Ionospheric and Meteorological Anomalies Associated with the Earthquake in Central Asia on 22 January 2024
by Renata Lukianova, Gulbanu Daurbayeva and Akgenzhe Siylkanova
Remote Sens. 2024, 16(17), 3112; https://doi.org/10.3390/rs16173112 - 23 Aug 2024
Viewed by 448
Abstract
On 22 January 2024, at 18 UT, a strong earthquake (EQ), Mw = 7, occurred with the epicenter at 41°N, 79°E. This seismic event generated a complex response, the elements of which correspond to the concept of lithosphere–atmosphere–ionosphere coupling through electromagnetic processes. While [...] Read more.
On 22 January 2024, at 18 UT, a strong earthquake (EQ), Mw = 7, occurred with the epicenter at 41°N, 79°E. This seismic event generated a complex response, the elements of which correspond to the concept of lithosphere–atmosphere–ionosphere coupling through electromagnetic processes. While flying over the EQ area on the night-ide of the Earth, the tandem of low-orbiting Swarm satellites observed small-scale irregularities in the plasma density with an amplitude of ~1.5 × 104 el/cm3, which are likely associated with the penetration of the coseismic electric field into the ionosphere. The local anomaly was detected against the background of a global increase in total electron content, TEC (although geomagnetic indices remained quiet), since the moment of EQ coincided with the ionospheric response to a solar flare. In the troposphere, specific humidity decreased while latent heat flux and aerosol optical depth increased, all exhibiting the co-located disturbances that can be attributed to the effect of increased air ionization rates, resulting in greater electrical conductivity in the near-Earth boundary layer. Anomalies started developing over the epicenter the day before and maximized on the day of the main shock and aftershocks. Full article
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19 pages, 3360 KiB  
Article
A Multi-Satellite Space Environment Risk Prediction and Real-Time Warning System for Satellite Safety Management
by Ning Kang, Liguo Zhang, Weiguo Zong, Pan Huang, Yuqiang Zhang, Chen Zhou, Jian Qiao and Bingsen Xue
Remote Sens. 2024, 16(10), 1814; https://doi.org/10.3390/rs16101814 - 20 May 2024
Viewed by 667
Abstract
In response to the need for a space security situation assessment during orbit, the multi-satellite space environmental risk prediction and early warning system is based on the detection results of the space weather payload of the Fengyun 4A and 4B satellites, as well [...] Read more.
In response to the need for a space security situation assessment during orbit, the multi-satellite space environmental risk prediction and early warning system is based on the detection results of the space weather payload of the Fengyun 4A and 4B satellites, as well as the prediction results of the National Space Weather Center, for the first time. By comprehensively utilizing some open-source data, it is the first time that we have achieved a 24 h advanced prediction of the space environment high-energy proton, low-energy particle, and high-energy electron risks for the safety of the Fengyun-series high-orbit satellites, and a real-time warning of satellite single-event upset, surface charging, and deep charging risks. The automation system has preliminarily achieved an intelligent space risk assessment for the safety of multiple stationary meteorological satellites, effectively improving the application efficiency of the space environmental data and the products of Fengyun-series satellites. The business status is stable in operation, and the resulting error between the predicted results of various risk indices and the measured data was less than one level. The warning accuracy was better than 90%. This article uses the system for the first time, to use Fengyun satellite data to, accurately and in a timely manner, predict and warn us about the low-energy particles and surface charging high-risk levels of the Fengyun 4A and 4B satellites during the typical space weather event on 21 April 2023, in response to the impact of complex spatial environmental factors on the safety of Fengyun-series high-orbit satellites. The construction and operation of a multi-satellite space environmental risk prediction and early warning system can provide a reference for the safety work of subsequent satellite ground system operations. Full article
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19 pages, 23257 KiB  
Article
Statistical Analysis of High–Energy Particle Perturbations in the Radiation Belts Related to Strong Earthquakes Based on the CSES Observations
by Lu Wang, Zhenxia Zhang, Zeren Zhima, Xuhui Shen, Wei Chu, Rui Yan, Feng Guo, Na Zhou, Huaran Chen and Daihui Wei
Remote Sens. 2023, 15(20), 5030; https://doi.org/10.3390/rs15205030 - 19 Oct 2023
Cited by 3 | Viewed by 990
Abstract
Earthquakes (EQs) are a significant natural threat to humanity. In recent years, with advancements in space observation technology, it has been put forward that the electromagnetic effects of earthquakes can propagate into space in various ways, causing electromagnetic radiation and plasma disturbances in [...] Read more.
Earthquakes (EQs) are a significant natural threat to humanity. In recent years, with advancements in space observation technology, it has been put forward that the electromagnetic effects of earthquakes can propagate into space in various ways, causing electromagnetic radiation and plasma disturbances in space and leading to high–energy particle precipitation. The China Seismo-Electromagnetic Satellite (CSES) is specifically designed for monitoring the space electromagnetic environment. In our study, we select 78 strong earthquakes from September 2018 to February 2023 (global earthquakes with M ⩾ 7.0 and the major seismic regions in China with M ⩾ 6.0). We focus on 10 of the latitude and longitude around the epicenter, spanning from 15 days before the earthquake to 5 days after, and look for anomalies in spatial evolution and temporal evolution. We present some typical cases of electron flux perturbation and summarize the anomalies of all 78 cases to look for regularity in EQ–related particle anomalies. Notably, we introduce two cases of simultaneous electromagnetic and energetic particle anomalies during earthquakes. And we propose a conjecture that the particle precipitation may be the result of wave–particle interactions triggered by seismic activity. Full article
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