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Monitoring of Volcanoes and Earthquakes with SAR and Satellite

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: 30 November 2025 | Viewed by 11

Special Issue Editors


E-Mail Website
Guest Editor
Institute of Methodologies for Environmental Analysis, National Research Council (CNR-IMAA), c.da Santa Loja 85050, Tito Scalo, Potenza, Italy
Interests: remote sensing; satellite optical data; algorithms developing for natural hazards

E-Mail Website
Guest Editor
Institute of Methodologies for Environmental Analysis, National Research Council (CNR-IMAA), c.da Santa Loja 85050, Tito Scalo, Potenza, Italy
Interests: satellite data management and processing algorithms; optical remote sensing for natural and anthropic risk
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Volcanoes and earthquakes are among the most dynamic and dangerous natural phenomena on our planet, and they pose serious threats to human life, infrastructure, and the environment. Monitoring and understanding these phenomena are important for disaster preparedness and risk mitigation. Over the past few decades, satellite-based earth observation (EO) has revolutionised how we observe, analyse, and react to geophysical hazards, providing an unprecedented perspective of the Earth's surface from space.

This Special Issue aims to gather state-of-the-art studies and innovative methods devoted to the use of active and passive satellite remote sensing for detecting, monitoring, and analysing seismic and volcanic activity. These techniques provide continuous and regional observations, providing essential information even in remote or inaccessible regions, regardless of weather conditions and daylight hours.

We welcome submissions that describe new algorithms, data fusion techniques, AI-based solutions, and case studies demonstrating the operational use of satellite data in observing active volcanoes and seismically active regions. Sensor synergy, satellite–ground network combination, and multi-mission approaches are specifically encouraged.

We look forward to your contributions to this Special Issue, which aims to advance the current state of knowledge and ensure the interdisciplinary coordination of satellite-based geohazard monitoring.

Dr. Alfredo Falconieri
Dr. Valeria Satriano
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

  • volcano monitoring
  • earthquake monitoring
  • thermal anomalies
  • ground deformation
  • geohazards
  • machine learning for geohazards

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Published Papers

This special issue is now open for submission.
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