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Remote Sensing
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GNSS Seismology
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GNSS Seismology

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".

Deadline for manuscript submissions: closed (31 July 2020) | Viewed by 6511

Special Issue Editors

Prof. Dr. Augusto Mazzoni

E-Mail Website
Guest Editor
Geodesy and Geomatics Division, DICEA, Sapienza University of Rome, Via Eudossiana 18, 00182 Rome, Italy
Interests: positioning and monitoring with GNSS; GNSS seismology; GNSS meteorology
Special Issues, Collections and Topics in MDPI journals
Dr. Elisabetta D’Anastasio

E-Mail Website
Guest Editor
GNS Science – Te Pu Ao, 1 Fairway Drive, Avalon, Lower Hutt, New Zealand
Interests: GNSS; operational and applied geodesy; seismogeodesy; high-rate GNSS data processing; geohazard monitoring; data science
Dr. Dara E. Goldberg

E-Mail Website
Guest Editor
University of Oregon, 100 Cascade Hall, 1272 University of Oregon, Eugene, OR, USA
Interests: GNSS; seismogeodesy; rupture dynamics; early warning
Mr. Sebastian Riquelme

E-Mail Website
Guest Editor
University of Chile, Blanco Encalada 2002, Santiago, Región Metropolitana, Chile
Interests: seismology; tsunamis; earthquake and tsunami early warning

Special Issue Information

Dear Colleagues,

Global navigation satellite systems (GNSS) have become widely applied in seismology. In recent years, GNSS processing strategies have evolved, taking advantage of multiconstellation and multifrequency availability to improve the estimation of parameters relevant to seismology. Long-term deformation captured by GNSS has contributed to models of the interseismic and postseismic phases of the earthquake cycle, in addition to identification and monitoring of slow slip. Furthermore, high-rate and real-time GNSS observations are now recognized as a valuable complement to traditional seismic methods for rapid estimation of kinematic parameters of moderate to large magnitude earthquakes.

This Special Issue solicits submissions that focus on all the aspects of the contribution of GNSS to seismology and demonstration of the utility of GNSS for observation of different types of events (natural or anthropogenic). We encourage the proposal of innovative methods to improve accuracy, availability, reliability or latency of the estimates of parameters relevant to seismology, possibly through free and open source software (FOSS) development. We also seek applications of previously established strategies to raw observations collected by different class of receivers (e.g., low-cost and/or mass-market devices) or that are extended to multi-GNSS/multifrequency observations.

Prof. Dr. Augusto Mazzoni
Dr. Elisabetta D’Anastasio
Dr. Dara E. Goldberg
Mr. Sebastian Riquelme
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.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

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

  • GNSS seismology
  • Seismogeodesy
  • Monitoring
  • Earthquake
  • Volcano
  • Landslide
  • High-rate
  • Slow slip
  • FOSS

Published Papers (2 papers)

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Research

16 pages, 11055 KiB  
Article
Seismo-Deformation Anomalies Associated with the M6.1 Ludian Earthquake on August 3, 2014
by Chieh-Hung Chen, Xiaoning Su, Kai-Chien Cheng, Guojie Meng, Strong Wen and Peng Han
Remote Sens. 2020, 12(7), 1067; https://0-doi-org.brum.beds.ac.uk/10.3390/rs12071067 - 26 Mar 2020
Cited by 11 | Viewed by 2192
Abstract
A time-frequency method retrieving the acceleration changes in the terminal stage of the
M6.1 Ludian earthquake in China is discussed in this article. The non-linear, non-stationary
seismo-demformation was obtained by using the Hilbert–Huang transform and followed by a
band-pass filter. We found that [...] Read more.
A time-frequency method retrieving the acceleration changes in the terminal stage of the
M6.1 Ludian earthquake in China is discussed in this article. The non-linear, non-stationary
seismo-demformation was obtained by using the Hilbert–Huang transform and followed by a
band-pass filter. We found that the temporal evolution of the residual GNSS-derived orientation
exhibits a unique disorder-alignment-disorder sequence days before the earthquake which
corresponds well with the four stages of an earthquake: elastic strain buildup, crack developments,
deformation, and the terminal stage of material failure. The disordering orientations are gradually
aligned with a common direction a few days before the terminal stage. This common direction is
consistent with the most compressive axis derived from the seismological method. In addition, the
region of the stress accumulation, as identified by the size of the disordered orientation, is
generally consistent with the earthquake preparation zones estimated by using numerical models. Full article
(This article belongs to the Special Issue GNSS Seismology)
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20 pages, 12536 KiB  
Article
Unique Pre-Earthquake Deformation Patterns in the Spatial Domains from GPS in Taiwan
by Chieh-Hung Chen, Ta-Kang Yeh, Strong Wen, Guojie Meng, Peng Han, Chi-Chia Tang, Jann-Yenq Liu and Chung-Ho Wang
Remote Sens. 2020, 12(3), 366; https://0-doi-org.brum.beds.ac.uk/10.3390/rs12030366 - 22 Jan 2020
Cited by 13 | Viewed by 3077
Abstract
Most earthquakes are considered to be caused by stress accumulating in and subsequently releasing from the crust. To extract non-linear and non-stationary earthquake-induced signals associated with stress accumulation, the Hilbert–Huang transform was utilized to filter long-term movements, short-term noise, and frequency-dependent (annual and [...] Read more.
Most earthquakes are considered to be caused by stress accumulating in and subsequently releasing from the crust. To extract non-linear and non-stationary earthquake-induced signals associated with stress accumulation, the Hilbert–Huang transform was utilized to filter long-term movements, short-term noise, and frequency-dependent (annual and semi-annual) variations from surface displacements measured by the global positioning system (GPS) in Taiwan. Earthquake-related surface displacements were expressed as horizontal directions (i.e., GPS azimuths) using the north–south and east–west components of residual GPS data to bypass influences resulted from the inhomogeneous nature of the crust. Analytical results showed that the relationships between earthquake occurrence and the aligned GPS azimuth passed the statistical test of the Molchan’s error diagram. Aligned GPS azimuths were in agreement with direction of earthquake-related P axes for 81% (26/32) studied events. Areas with the highest paralleling orientations of GPS azimuths appeared around epicenters several days to weeks before earthquake occurrence. Durations from aligned GPS azimuths to earthquake occurrence are roughly proportional to earthquake magnitude. Similar variations of the GPS azimuths were observed in GPS data containing or excluding co-seismic dislocation (i.e., one day before) in the temporal and spatial domain. These suggest that the aligned GPS azimuth could be a promising anomalous phenomenon for studying crustal deformation before earthquakes. Full article
(This article belongs to the Special Issue GNSS Seismology)
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