Remote Sensing for Post-disaster Phase: Damage Assessment, Reconstruction and Monitoring

Dear Colleagues,

Natural disasters are increasing in frequency and severity in the modern world, and their impact on human lives and the economy are accelerating due to growing urbanization and increasing frequency of extreme weather events.

Disaster risk reduction (DRR) is one essential approach to curbing the toll that disasters take in terms of both human lives and financial value. However, effective intervention in the post-disaster phase also plays a major role in reducing the “disaster bill” and facilitating reconstruction. Timely and accurate data collection, and situational monitoring, can really make a difference in recovery and long-term normalization of the affected area.

Spaceborne Earth Observation (EO) has been widely applied to post-disaster response, damage assessment, recovery and mitigation, and data collection and processing methods have advanced substantially in the recent years. The overall trend towards open data favoured by major agencies and programs across the globe enable an unprecedented scale of monitoring and understanding of disaster phenomena, creating the conditions for building complete, accurate and dynamic pictures of post-disaster situations.

This Special Issue will draw from ongoing advancements and novel developments of methodologies, and best case studies, demonstrating the use of EO technology in this context. We encourage submission of both review and original research articles related to the different aspects of response and recovery. The special issue will include, but will not be limited to, the following topics:

• Damage assessment and mapping using space-based ​and airborne Earth observation ​data;
• Recovery monitoring;
• Risk and hazard assessment;
• Vulnerability and exposure information, and their use in improving damage assessment;
• Insurance policies and claim vetting;
• Open data and big data in risk and damage assessment;
• Deeplearning in damage assessment
• Crowdsourcing and participative sensing

Prof. Dr. Fabio Dell’Acqua
Mr. Ronald T. Eguchi
Prof. Dr. Fumio Yamazaki
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 250 words) can be sent to the Editorial Office for assessment.

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.