Applications of Remote Sensing in Earthquakes, Volcanic and Tsunami Events

Dear Colleagues,

In recent decades, remote sensing technologies have been widely applied to land monitoring, and land changes recognition caused by disasters. Remote sensing has the advantage of collecting multisensor datasets, such as synthetic aperture radar (SAR) and optical imaging, providing complementary information to grasp the land surface condition before and after disaster events. On the one hand, amplitude and phase SAR features are suitable for examining ground deformation. On the other hand, optical imagery can provide excellent multispectral information which is ideal for monitoring and classifying surface changes. Furthermore, recent advances in machine learning algorithms applied to earth observation (EO) data have provided enhanced detection and classification accuracy.

This Special Issue is open to all contributions on recent advances and novel developments of methodologies and best-case study applications of remote sensing to earthquakes, tsunamis, and volcanic events. We encourage submissions of both review and original research articles related, but not limited, to the following topics:

• Analysis of changes in urban environment;
• Remote sensing for urban vulnerability analysis;
• Damage recognition following major disasters;
• Machine learning for disaster research;
• Detection and classification of building damage;
• Extraction of flooded areas from remote sensing data;
• Time series data for surface deformation monitoring;
• Open data and big data for multi-hazard analysis.

Dr. Bruno Adriano
Dr. Hideomi Gokon
Dr. Wen Liu
Dr. Marc Wieland
Dr. Magaly Koch
Guest Editors

Manuscript Submission Information

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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.