Remote Sensing for Multifaceted Disaster and Cascading Disasters
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Earth Observation for Emergency Management".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 2214
Special Issue Editors
2. Associated Laboratory TERRA, 1349-017 Lisbon, Portugal
Interests: slope instability; early warning systems; natural hazards; vulnerability and risk assessment; applied geomorphology and spatial planning; coastal erosion
Special Issues, Collections and Topics in MDPI journals
Interests: slope instability; natural hazards and risks assessment; applied geomorphology; spatial planning; cartography and GIS
Interests: geosimulation; geocomputation; artificial neural networks; graphs theory; cellular automata; multi-agent systems; urban morphology; remote sensing; epidemiology; health geography; geomarketing; tourism; smart cities; big data
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
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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Keywords
- risks
- disasters
- time-series
- mapping
- monitoring
- classification algorithms
- ancillary data
- remote sensing
- early warning
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