Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.3
2.5
Journals
Applied Sciences
Special Issues
Applied Geophysical Imaging and Data Processing
applsci-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Applied Sciences Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Applied Geophysical Imaging and Data Processing

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: 20 December 2025 | Viewed by 2701

Special Issue Editor

Dr. Vincenzo Lapenna

E-Mail Website
Guest Editor
Institute of Methodologies for Environmental Analysis, National Research Council of Italy (CNR-IMAA), C. da S. Loja, I-85050 Tito, PZ, Italy
Interests: applied geophysics; electromagnetic methods; natural hazards

Special Issue Information

Dear Colleagues,

Recently, increasing attention has been paid to novel applications of geophysical imaging and data processing for investigating unknown/poorly studied geophysical processes and complex geological environments of the Earth’s near subsurface. The exploration of the “Earth Thin Skin” (0-10 km of depth) is vital for human life and has an extraordinary social and economic impact (e.g., natural hazards, sustainable geo-energy and geo-resources, extreme events related to climate change, and environmental protection, etc.), in alignment with the UN’s Sustainable Development Goals.

The main objective of this Special Issue is to promote and platform relevant studies that focus on the following key topics: (1) novel approaches for the analysis and interpretation of geophysical imaging; (2) the development of innovative algorithms for geophysical data processing, with emphasis on novel AI-based methods (e.g., machine learning); (3) new methods for the analysis of time-lapse sequences of 4D geophysical images; (4) the development of innovative methods for the 3D and 4D visualization of geophysical tomographic images. Papers on recent research achievements obtained in the framework of different applicative domains (natural hazards, environmental monitoring, hydrogeology, geo-resources, engineering geology, urban geophysics, archaeology, etc.) are strongly welcomed and encouraged.

Dr. Vincenzo Lapenna
Guest Editor

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. Applied Sciences 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 2400 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

  • applied geophysics
  • geophysical imaging
  • tomography
  • signal processing
  • machine learning

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

18 pages, 3900 KiB  
Article
Resolving Subsurface Structure with Magnetotelluric Method in the Urban Area of Pingtung County, Southwestern Taiwan
by Haiyina Hasbia Amania, Ping-Yu Chang, Ding-Jiun Lin, Jordi Mahardika Puntu and Yekti Widyaningrum
Appl. Sci. 2025, 15(7), 3687; https://doi.org/10.3390/app15073687 - 27 Mar 2025
Viewed by 572
Abstract
This study presents the results of the Magnetotelluric (MT) survey aimed at resolving the subsurface structures in the northern part of the Pingtung Plain. Data analysis was conducted using ten local observation stations and one remote reference station. Due to the significant noise [...] Read more.
This study presents the results of the Magnetotelluric (MT) survey aimed at resolving the subsurface structures in the northern part of the Pingtung Plain. Data analysis was conducted using ten local observation stations and one remote reference station. Due to the significant noise of the urban environment, the process of obtaining high-quality results proved to be challenging. The impact of such noise on the transfer function estimation is demonstrated, emphasizing the need for careful data selection and processing to mitigate its effects. The results reveal a distinct low–high–low-resistivity trend in the subsurface, with the Quaternary–Neogene sediment boundary estimated to be up to 500 m deep. Additionally, this study maps depths of up to 4 km, where it indicates possible faulting structures below the study area, which may be related to the previously assumed structures south of the study area. Given the limited, available deep subsurface information of the study area, these findings offer a preliminary understanding of the subsurface characteristics of the northern Pingtung Plain, which may contribute to ongoing research on the geological characteristics of the region while taking into account the importance of addressing urban noise when interpreting MT data. Full article
(This article belongs to the Special Issue Applied Geophysical Imaging and Data Processing)
►▼ Show Figures

Figure 1

17 pages, 4492 KiB  
Article
Rapid Estimation of Vs30 Through Elitist Genetic Algorithm HVSR Inversion and Refraction Microtremor Data Analysis in the Greater Metro Manila Area and Leyte Province, Philippines
by Rhommel N. Grutas, Andrew T. Serrano, Jamie Mary Loise C. Tan and Rio Angela F. Castro
Appl. Sci. 2025, 15(5), 2447; https://doi.org/10.3390/app15052447 - 25 Feb 2025
Viewed by 742
Abstract
Vs30, the average shear wave velocity in the uppermost 30 m, is a critical parameter in seismic hazard analysis. In the Philippines, the Refraction Microtremor (ReMi) survey is the standard method for Vs30 Estimation. This study evaluates the efficiency of using an elitist [...] Read more.
Vs30, the average shear wave velocity in the uppermost 30 m, is a critical parameter in seismic hazard analysis. In the Philippines, the Refraction Microtremor (ReMi) survey is the standard method for Vs30 Estimation. This study evaluates the efficiency of using an elitist Genetic Algorithm (GA) to invert Horizontal-to-Vertical Spectral Ratio (HVSR) data as an alternative approach. Unlike ReMi surveys, which require geophone arrays, HVSR surveys use a single-unit three-component microtremor seismograph, enabling faster and broader data collection. Analysis of 174 HVSR and 52 ReMi datasets from the Greater Metro Manila Area (GMMA) and Leyte Province revealed strong correlations between estimated and measured Vs30 values. The overall match rates for soil profile classification under the National Structural Code of the Philippines (NSCP 2015) were 76% in GMMA and 81% in Leyte, with R-squared values of 0.885 and 0.806, respectively. Additionally, the relationship between the fundamental site period and estimated Vs30 values was explored. The R-squared values of 0.772 for GMMA and 0.707 for Leyte indicate a strong correlation and demonstrate the expected inverse relationship between the two variables. Given the Philippines’ high seismic activity, this method provides an efficient means to enhance seismic hazard mapping, improving earthquake preparedness and mitigation. Full article
(This article belongs to the Special Issue Applied Geophysical Imaging and Data Processing)
►▼ Show Figures

Figure 1

18 pages, 10258 KiB  
Article
Segmental Regularized Constrained Inversion of Transient Electromagnetism Based on the Improved Sparrow Search Algorithm
by Chao Tan, Xingzuo Ou, Jiwei Tan, Xinyu Min and Qihao Sun
Appl. Sci. 2024, 14(4), 1360; https://doi.org/10.3390/app14041360 - 7 Feb 2024
Cited by 2 | Viewed by 884
Abstract
The initial inversion model is typically established in a transient electromagnetic nonlinear inversion, assuming the accurate capture of the number of layers in the geoelectric model; however, this assumption leads to significantly poorer inversion results for complex models when obtaining the exact number [...] Read more.
The initial inversion model is typically established in a transient electromagnetic nonlinear inversion, assuming the accurate capture of the number of layers in the geoelectric model; however, this assumption leads to significantly poorer inversion results for complex models when obtaining the exact number of layers from available a priori information, which is challenging. This study proposes a segmented regularized inversion method to enhance inversion accuracy and stability under varying conditions. The process involves two key steps: Firstly, a segmented initial model is established based on preliminary information. The layering criteria and layer thickness threshold for each segment are set during inversion to reduce dependence on the accuracy of the preliminary information. Secondly, a segmented regularization constraint is added to the objective function to improve the efficiency and stability of the inversion, as numerous parameters can exacerbate the problem of inversion ambiguity. Subsequently, an improved sparrow search algorithm (ISSA) is utilized to optimize the inversion objective function. This enhances the efficiency of searching for the objective function and the algorithm’s ability to escape local optimal solutions. The proposed method is evaluated using one-dimensional and two-dimensional models with different initial models and inversion algorithms and applied to the inversion of on-site exploration data in a coal mining area in Chongqing. Comparative results demonstrate that the proposed segmented regularization method, based on the improved sparrow search algorithm, exhibits superior practicality and a higher fitting accuracy. Full article
(This article belongs to the Special Issue Applied Geophysical Imaging and Data Processing)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop