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Remote Sensing
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Dynamic Geophysical Phenomenon Monitoring Using Remote Sensing
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Dynamic Geophysical Phenomenon Monitoring Using Remote Sensing

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

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 9718

Special Issue Editors

Dr. Paolo Mancinelli

E-Mail Website
Guest Editor
Department of Engineering and Geology, University G. D'Annunzio of Chieti-Pescara, Via dei Vestini 31, 66013 Chieti, Italy
Interests: solid earth geophysics; geodynamics; earth and planetary sciences; numerical modeling
Prof. Dr. Valeria Paoletti

E-Mail Website
Guest Editor
Department of Earth, Environment and Resources Science, University Federico II, Complesso di Monte S. Angelo, Via Cintia, Edifice L, 80126 Naples, Italy
Interests: applied geophysics; potential field data analysis and modeling; remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Dynamic geophysical phenomena embrace a wide range of observable and measurable events spanning from the nucleation and evolution of seismic sequences to geomagnetic field variations and fluid migration. The monitoring of dynamic geophysical processes implies major efforts both pertaining to the techniques required for the observations and the modeling of the acquired data. All these efforts have contributed to increasing the reliability and the resolution of the observed phenomena, with significant outcomes on their predictability. Among the possible monitoring techniques, those implying a remote observation of the phenomenon represent the main contributors to the large-scale understanding of such processes. Their role is likely going to grow in future years with new challenges coming from climate change, renewable energy and decarbonification demands, with significant efforts from research institutes and industries converging to these goals. Contributions on new approaches to monitoring processes that produce a changing geophysical signature in time are welcome. These may include but are not limited to fluid storage and migration in the subsurface, atmospheric fluid modeling, seismic sequence evolution, geomagnetic and gravity field variations, landslide geophysical modeling, and modeling of active sources in volcanic areas.

Dr. Paolo Mancinelli
Dr. Valeria Paoletti
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

  • Dynamic geophysical processes
  • Remote sensing
  • Seismic monitoring
  • Fluid storage monitoring
  • Atmospheric fluid monitoring
  • Climate change
  • Renewable energy
  • Decarbonification
  • 4D gravity monitoring
  • Potential fields monitoring
  • Landslide geophysical monitoring
  • Ground deformation modeling

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Published Papers (3 papers)

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Research

17 pages, 7601 KiB  
Article
Temporal Analysis of Ground Movement at a Metal Mine in China
by Guang Li, Xin Hui, Fengshan Ma and Jie Guo
Remote Sens. 2022, 14(19), 4993; https://doi.org/10.3390/rs14194993 - 7 Oct 2022
Cited by 2 | Viewed by 1641
Abstract
Mining-induced ground movement is a complicated nonlinear process and a regional geological hazard. Time series in Earth sciences are often characterized as self-affine, long-range persistent, where the power spectra exhibit a power-law dependence on frequency. Whether there exists a periodic signal and a [...] Read more.
Mining-induced ground movement is a complicated nonlinear process and a regional geological hazard. Time series in Earth sciences are often characterized as self-affine, long-range persistent, where the power spectra exhibit a power-law dependence on frequency. Whether there exists a periodic signal and a fundamental frequency in the time series is significant in analyzing ground-movement patterns. To evaluate whether a power law describes the power spectra of a ground-movement time series and whether a fundamental frequency exists, GPS monitoring records taken over 14.5 years describing ground movement in the Jinchuan Nickel Mine, China, were analyzed. The data sets consisted of 500 randomly selected GPS monitoring points, spanning the April 2001–October 2015 time period. Whether a periodic signal in the ground movements existed was determined through the autocorrelation function. The power spectra of the ground-movement time series were found to display power-law behavior over vastly different timescales. The spectral exponents of the horizontal and vertical displacements ranged from 0.47 to 3.58 and from 0.43 to 3.37, with mean values of 2.05 and 1.79, respectively. The ground movements of minefields No.1 and No.2 had 1.1-month and 1.4-month fundamental periods, respectively. Together with a discussion of the underlying mechanisms of power-law behavior and relevant influencing factors, these results indicate that ground-movement time series are a type of self-affine time series that exhibit long-range persistence and scale invariance and show a complex periodicity. These conclusions provide a basis for predicting land subsidence in the study area over a timescale. Full article
(This article belongs to the Special Issue Dynamic Geophysical Phenomenon Monitoring Using Remote Sensing)
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16 pages, 3497 KiB  
Article
Gravity Survey on the Oil-Bearing Dammam Dome (Eastern Saudi Arabia) and Its Implications
by Konstantinos Chavanidis, Alexandros Stampolidis, Panagiotis Kirmizakis, Markos Tranos, Maurizio Fedi, Roman Pasteka, Khalid Al-Ramadan, SanLinn Kaka, Grigorios N. Tsokas and Pantelis Soupios
Remote Sens. 2022, 14(3), 735; https://doi.org/10.3390/rs14030735 - 4 Feb 2022
Cited by 7 | Viewed by 3889
Abstract
A detailed gravity survey with 235 measurements was carried out at the King Fahd University of Petroleum and Minerals campus, which is located at the crest of the oil-bearing Dammam Dome (Eastern Province of Saudi Arabia). This survey allows us to better understand [...] Read more.
A detailed gravity survey with 235 measurements was carried out at the King Fahd University of Petroleum and Minerals campus, which is located at the crest of the oil-bearing Dammam Dome (Eastern Province of Saudi Arabia). This survey allows us to better understand the geometry of the underlying Dammam Dome and its tectonic regime. The acquired data were processed using conventional gravity data reduction techniques. The effectiveness of terrain correction was evaluated using several recently developed algorithms. Afterward, processed data were subject to geophysical filters for edge detection (terracing transformation and horizontal gradient) and depth estimation (tilt derivative and 3D inversion). 3D Bouguer maps were generated and compared to the proposed geological models for the Dammam Dome. The results show the existence of ENE-WSW striking tectonic lines, where two nearly vertical, km long tectonic lines were predominant. The orientation of these tectonic lines defines an NNW-SSE trend for the least principal stress axis (σ3) and an ENE-WSW trend for the σ1σ2 stress plane of the driving stress regime, fitting well with the transtension stress regime recently suggested for the area. More importantly, the results of this study demonstrate that the Dammam Dome was affected by the intraplate stresses transferred from the convergence between the Arabian and Eurasian plates along the Zagros orogeny. Full article
(This article belongs to the Special Issue Dynamic Geophysical Phenomenon Monitoring Using Remote Sensing)
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18 pages, 10911 KiB  
Article
Application of Infrared Remote Sensing and Magnetotelluric Technology in Geothermal Resource Exploration: A Case Study of the Wuerhe Area, Xinjiang
by Hong Chen, Xingbing Xie, Enqin Liu, Lei Zhou and Liangjun Yan
Remote Sens. 2021, 13(24), 4989; https://doi.org/10.3390/rs13244989 - 8 Dec 2021
Cited by 4 | Viewed by 3253
Abstract
As a new green energy source, geothermal resource’s exploration, development, and utilization are an important direction in geophysical exploration at present. In this study, the actual land surface temperature was inferred based on the thermal infrared band of Landsat8 remote-sensing images, and the [...] Read more.
As a new green energy source, geothermal resource’s exploration, development, and utilization are an important direction in geophysical exploration at present. In this study, the actual land surface temperature was inferred based on the thermal infrared band of Landsat8 remote-sensing images, and the information about the surface anomalies and their spatial distribution was obtained through a multifactor analysis. In addition, three magnetotelluric sounding profiles were deployed in the study area, and the geo-electric sections in the study area were obtained through inversion of the measured data. Then, based on the inverse geo-electric information and the land surface temperature anomaly information, we analyzed and verified the geothermal resource genesis of the thermal anomaly area and inferred the favorable geothermal resource area in the study area. The results show that these two methods can be used to compare and analyze the possible distribution of the geothermal resources in the study area in two dimensions: the spatial distribution on the surface and the vertical distribution in the subsurface. Moreover, the results of the geothermal anomalies inferred from the thermal infrared remote sensing and the geo-electric results inferred from the magnetotelluric data are in good agreement. This study demonstrates that the integrated application of thermal infrared remote sensing and magnetotelluric technology is a promising tool for geothermal exploration. Full article
(This article belongs to the Special Issue Dynamic Geophysical Phenomenon Monitoring Using Remote Sensing)
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