Understanding Seismogenic Structures and Earthquake Hazard Mitigation Enhanced by Satellite Geodesy

Dear Colleagues,

This Special Issue aims to advance the fields of earthquake physics and earthquake hazard mitigation by highlighting the significance of integrating satellite-based geodetic and seismological approaches. Satellite geodesy can provide direct images for the entire faulting processes, which has been widely applied to estimate earthquake processes, fault geometry, seismicity patterns, and earthquake hazard mitigation requirements. To bring together studies on how we utilize remote sensing in earthquake sciences, we aim to enhance our understanding of seismogenic structures, earthquake-induced hazards, and improve the effectiveness of earthquake hazard mitigation strategies.

The aim of this Special Issue is to provide a platform for researchers to share their latest findings, methodologies, and applications in remote sensing applications or/and data assimilation. By encouraging interdisciplinary collaborations, we seek to promote knowledge exchange and stimulate innovative approaches that integrate seismological and geodetic data.

Researchers may contribute original research articles, reviews, and case studies on the following themes (but are not limited by):

• Seismological and geodetic data analysis techniques for characterizing earthquake physics;
• Advances in earthquake source modeling using seismological and/or geodetic data;
• High-resolution fault imaging and characterization using combined seismological and geodetic approaches;
• Spatiotemporal analysis of earthquake occurrence and seismicity patterns;
• Real-time monitoring and early warning systems for earthquake hazard mitigation;
• Integration of seismological and geodetic data for assessing earthquake hazards and risks;
• Innovative methodologies and algorithms for integrating seismological and geodetic observations in earthquake research;
• Case studies demonstrating successful applications of seismological and geodetic approaches in earthquake hazard mitigation.

By submitting their work to this Special Issue, researchers have the opportunity to contribute to the advancement of seismology and geodesy, foster interdisciplinary collaborations, and provide insights into seismogenic structures and real-time earthquake hazard mitigation.

Prof. Dr. Dun Wang
Prof. Dr. Lihua Fang
Dr. Kejie Chen
Dr. Wanpeng Feng
Dr. Gianluca Groppelli
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.

• surface deformation
• GNSS time series
• remote sensing applications
• satellite geodesy
• source process
• earthquake hazard mitigation
• geodetic inversion
• high-performance computing (HPC)