Remote Sensing in Hazards Monitoring and Risk Assessment

Dear Colleagues,

In the last decade, natural hazards such as tsunamis, volcanic eruptions, earthquakes, avalanches, cyclones or tornados, storm surges, flooding, landslides, soil erosion, land subsidence, wildfires, extreme temperatures, drought and so on have resulted in extensive loss to quality of life, critical infrastructure and economy, universally. Hazard or disaster serves as a foundational element across all domains of disaster risk management, with a particular emphasis on hazard understanding. Remote sensing can provide non-destructive and cost-efficient measurements and data to understand and evaluate various natural and human-induced hazards that impact our environment and society. For such disaster monitoring, various kinds of remote sensing observations (e.g., thermal, visual, radar, laser, and/or the fusion of these) can be utilized. In addition, comprehensive situation awareness and decision support for disaster response can be provided by conducting various spatial analysis, including damage estimation, isolation site analysis, and evacuation route analysis, in connection with the recognition of disaster situations from such remote sensing information.

We encourage the submission of novel techniques/approaches for showcasing the latest advancements, innovative methodologies, and practical applications of remote sensing in the field of hazard monitoring, modelling, assessment and mitigation, using any form of remote sensing data (proximal, airborne, and satellite). Original research contributions, exhaustive reviews, remote-sensing methodologies, and relevant applications in disaster monitoring and situational awareness are welcome, as will suggestions for future sensor considerations, algorithm developments, and opportunities for emergency management agency buy-in. In addition to the points above, topics may include but are not limited to:

• addressed value of remote sensing data in risk/hazard forecasting models;
• innovative applications of remote sensing data for hazard, vulnerability, and risk mapping;
• innovative applications in support of disaster reduction strategies (e.g., landscape planning);
• development of tools and platforms for assessment and validation of hazard/risk models;
• Application of new sensors/algorithms and in practice monitoring systems;
• Comparison and evaluation of different remote sensing methods (statistical, physical and hybrid models) in hazard monitoring.

Dr. Liangliang Tao
Prof. Dr. Dongryeol Ryu
Dr. Hongquan Sun
Dr. Hao Sun
Dr. Xi Chen
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.

• remote sensing
• hazard monitoring
• risk mapping
• disaster reduction strategies
• hazard/risk models