Research Topic

Early Career Scientists’ Contributions to Seismic Signal Processing and Inverse Problem in Volcanology

About this Research Topic

In recent years, the interest in analyzing a large amount of data and image processing analysis have increased in different fields of Earth science. This data analysis is especially important in volcanoes where the amount of data to be analyzed and processed has increased due to the improvement in data acquisition systems and on the other hand, where this information must be interpreted in quasi real time in order to know the current state of the volcano. Therefore, the information obtained from seismo-volcanic signals is crucial to understand the processes that control volcanic eruptions and to develop efficient volcano early warning systems.

Seismo-volcanic signal processing has drastically advanced in recent years. Whereas a few decades ago signals were identified and classified manually, with all the errors that this entails, nowadays automatic detection and classification techniques are used to facilitate the operator's work. Due to this development, large amounts of data are being generated that must be analyzed. These signals, in addition to being interpreted to determine the activity of the volcano, are also used to reconstruct physical models through inverse problem. Thus, the more quality data we have, the more credible physical models of the volcanic structure we can obtain.

This Research Topic aims to put together inter- and multidisciplinary, up to date and high-quality research on volcanic signal processing and inverse problem. Although open to scientists at any stage of their career, we encourage the submission of scientific contributions led by early career scientists. Advances in both volcanic signal processing and inverse problem result in a better understanding of active volcanoes.

We welcome contributions concerning recent both technical and scientific advances which will improve our understanding of the complexity of volcanic systems. Contributions are related but not limited to:
- Signal processing in volcanology;
- Recognition and classification of seismo-volcanic signals;
- Imaging of volcanoes using different methods and techniques;
- Solution of inverse problem in volcanology;
- Development of inverse problem method in volcanology;
- Modelling of volcanic eruptions and activity.


Keywords: volcano seismology, tomography, seismic signal processing, inverse problem, volcanology


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

In recent years, the interest in analyzing a large amount of data and image processing analysis have increased in different fields of Earth science. This data analysis is especially important in volcanoes where the amount of data to be analyzed and processed has increased due to the improvement in data acquisition systems and on the other hand, where this information must be interpreted in quasi real time in order to know the current state of the volcano. Therefore, the information obtained from seismo-volcanic signals is crucial to understand the processes that control volcanic eruptions and to develop efficient volcano early warning systems.

Seismo-volcanic signal processing has drastically advanced in recent years. Whereas a few decades ago signals were identified and classified manually, with all the errors that this entails, nowadays automatic detection and classification techniques are used to facilitate the operator's work. Due to this development, large amounts of data are being generated that must be analyzed. These signals, in addition to being interpreted to determine the activity of the volcano, are also used to reconstruct physical models through inverse problem. Thus, the more quality data we have, the more credible physical models of the volcanic structure we can obtain.

This Research Topic aims to put together inter- and multidisciplinary, up to date and high-quality research on volcanic signal processing and inverse problem. Although open to scientists at any stage of their career, we encourage the submission of scientific contributions led by early career scientists. Advances in both volcanic signal processing and inverse problem result in a better understanding of active volcanoes.

We welcome contributions concerning recent both technical and scientific advances which will improve our understanding of the complexity of volcanic systems. Contributions are related but not limited to:
- Signal processing in volcanology;
- Recognition and classification of seismo-volcanic signals;
- Imaging of volcanoes using different methods and techniques;
- Solution of inverse problem in volcanology;
- Development of inverse problem method in volcanology;
- Modelling of volcanic eruptions and activity.


Keywords: volcano seismology, tomography, seismic signal processing, inverse problem, volcanology


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

12 October 2021 Abstract
14 January 2022 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

12 October 2021 Abstract
14 January 2022 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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