Remote Sensing for Multifaceted Disaster and Cascading Disasters

Dear Colleagues,

The challenges posed by multifaceted disasters and the inherent cascading disasters have been changing in recent years. The interconnection of global and socioeconomic risks determines these changes and leads to greater and more complex disasters such as hurricane Katrina and to cascading disasters (earthquakes, tsunamis, and nuclear disturbances) such as occurred at Fukushima.

The impacts of cascading disasters result frequently from unforeseen and/or unacknowledged risks. These impacts test the strategy and competencies of governance and of official organizations for operative disaster management. Recently, the growing number of extreme events, some of them possibly related to climate changes, and the opportunity to explore timely information have led to the operational use of remote sensing as a tool for emergency management.

Remote sensing is among many tools available for disaster management nowadays, making the planning process and emergency management more effective and accurate. Due to its intrinsic characteristics, e.g., spatial continuity, uniform accuracy, multi-temporality and geographical coverage, remotely sensed data could be helpful for disaster prevention and preparedness (before the disaster), emergency mapping/monitoring (during the disaster) and disaster relief, rehabilitation and reconstruction (after the disaster).

Different sensors and/or different methods can deliver distinctive information about earth’s surface or shallow layers. Thanks to the increasing accessibility to data/products of high accuracy and to the development of advanced analysis/classification algorithms, it is now possible to access multifaceted disasters and cascading disasters.

In this Special Issue, one invites submission of original works regarding the application of state-of-the-art sensors/data, algorithms, and schemes for multifaceted disasters and cascading disaster management. We specially encourage, but do not limit the scope to, submissions regarding multifaceted disasters and cascading disasters detection and monitoring, case studies regarding the use of different remote sensing data and/or algorithms, multitemporal analysis and the development of early warning systems, etc.

Dr. Sérgio Oliveira
Dr. Ricardo Garcia
Prof. Dr. Jorge Rocha
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.

• risks
• disasters
• time-series
• mapping
• monitoring
• classification algorithms
• ancillary data
• remote sensing
• early warning