Predictive Modeling through Earth Observational Data Analysis for Natural Hazards Risk Assessment and Disaster Management
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Hazards and Sustainability".
Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 5810
Special Issue Editors
Interests: natural hazard risk assessment (flood, landslides, drought, forest fire, avalanche-permafrost destabilisation); cryospheric studies; coastal hazards; water resources management; forest mapping and health analysis; urban environment; geoinformatics
Interests: vegetation remote sensing; disaster and hazard risk analysis; natural resources management; climate Modelling and climate change
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to introduce a new Special Issue focusing on “Predictive Modeling through Earth Observational Data Analysis for Natural Hazards Risk Assessment and Disaster Management”. The natural geo-environment of planet Earth is under extreme stress caused largely by human-induced dynamic perturbation in the natural environment and climate domain. Impact assessment of climate change on the natural setup of planet Earth observed through the increasing intensity of natural hazards is vital for understanding the future potential and risk to humans, as well as devising techniques to combat the ill effects of natural hazards and human-induced disasters.
Earth observation (EO) data obtained via remote sensing provide adequate opportunities to model the geo-aspects of different hazard potentials and their risk-inducing capabilities. When modeled through geoinformatics techniques, such spatial data become very effective in near real-time hazard predictions. Such cost-effective solutions can safeguard human fatalities by spatial planning during natural-anthropogenic disasters.
Global warming and climate change impacts are felt globally with disastrous consequences during floods, avalanches, landslides, forest fires, drought, and cyclones, among others. The localised or global dynamics of water–air interaction cause changing patterns of rainfall and temperature that are responsible for inducing the majority of natural hazards. The fast-growing urban habitat and concomitant land use changes caused by increasing population and mass migration from rural to urban areas, coupled with shrinking forests across the globe and sea-level rise induced by glacier melting due to global warming, are impeding such geo-environmental changes and the resulting hazards can be monitored using EO. Hence, the geospatial modeling under different platforms will effectively lead to managing natural and human hazards. The present Special Issue aims to reconcile multi-disciplinary scientific knowledge of EO and climate data for mapping natural hazards and human-induced disasters using geospatial modelling approaches.
The list of possible topics of interest includes:
- Impacts of urban–rural land use and land cover change on environmental sustainability
- Climate change-induced impacts on water resources
- Rainfall intensity and landsides hazards in mountainous regions
- Hydrological modeling for water-induced hazards
- Cryosphere permafrost-induced hazards
- Glacier retreat, snow cover changes, avalanches, GLOF
- Forest health–climate interactions and forest fires
- Mangrove forest–sea level rise interaction and coastal erosion
- Global warming impacts on cyclonic storms
- Urban land use land cover changes, microclimatic variability and hazards
- Natural hazard modelling approaches—opportunities and constraints
- Environmental pollution impacts and predictive modeling
Prof. Dr. Arvind Chandra Pandey
Dr. Bikash Ranjan Parida
Dr. Surajit Ghosh
Guest Editors
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Keywords
- land use and land cover dynamics
- environmental sustainability
- forest eco-system
- climate change
- land-sides hazards
- cryosphere permafrost
- coastal erosion
- global warming
- cyclones
- environmental pollution impacts and predictive modeling
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