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Manuscript deadline
03 September 2020

Cover image - Geomatics Natural Hazards and Risk

Geomatics Natural Hazards and Risk

Special Issue Editor(s)

Dr Ching-Hsien Hsu, Asia University, Taiwan
[email protected]

Dr Amir H. Alavi, University of Pittsburgh, USA
[email protected]

Dr Mianxiong Dong, Muroran Institute of Technology, Japan
[email protected]

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Remote Sensing for Disaster Monitoring

In today’s scenario of the urban modern world, the process of disaster monitoring and control remains to be the biggest challenge among government and other industry experts. More efforts have been put on devising contingency plans and protection measures. Estimation of preventive measures and likely possibility of natural disasters with a better assessment of a particular region, for risk and vulnerability, can solve several issues. This critical planning structure enables the planners and operators with proper knowledge of target mitigation prioritization and preparedness activities for specific areas. Disaster monitoring is a complex dynamic scenario, to effectively deal with such complex situations, it is mandatory to design and implement effective disaster prevention and monitoring facilities. With the most accurate insights, people across the danger zone can be better equipped and empowered with the potential to resist disaster and natural hazards.

With the use of remote sensing and its spatial analysis capabilities, one can design the most accurate disaster monitoring methodologies that encourage a more comprehensive understanding of distinct natural disasters, their outcomes and their threat across a particular area. Remote sensing methodologies often act as a decision support system; the data acquired from remote sensing devices are further processed and analyzed to predict the possibility of various natural disasters. This can further help to effectively plan emergency strategies and preventive measures. Data obtained from remote sensing devices are most important and it is most essential for effective and quick disaster management strategies. It has become ubiquitous in disaster monitoring, prevention and recovery missions. Today, with several scientific advancements it has become easier to carry out these operations. However, an enhancement to remote sensing technologies will bring out a multitude of new ways for disaster prediction with improved accuracy and efficiency measures. Remote sensing has numerous applications with considerable significance. This special issue aims to bring out advances in remote sensing for disaster monitoring and prevention activities.

Topics of interest for this special issue include, but are not limited to:

  • Advances in big data analytics for disaster monitoring and management using remote sensing
  • Recent trends in satellite remote sensing for disaster monitoring, risk assessment, management and mitigation
  • Combined effect of earth observation, remote sensing and geo-information for disaster monitoring and management processes
  • Multi sensor data assimilation for landslide and earthquake analysis
  • Remote sensing for landslide susceptibility, hazard assessment and stability analysis
  • Risk assessment with remote sensing for remote monitoring
  • Deep learning  for geo-spatial data analysis and disaster prediction
  • Convergence of spatial and spectral image processing approaches for remote sensing
  • Internet of Things (IoT) and remote sensing for ecosystem and ecological management
  • Sustainable environmental development with remote sensing and wireless sensor networks
  • Hyper spectral sensors for natural resource management and resource monitoring
  • Unmanned aerial vehicles (UAV) for earth observation
  • On-ground and in-orbit calibration with remote sensing
  • Remote sensing for climatic change detection and weather monitoring applications
  • Advances in environmental, disaster and fire-monitoring with Internet of Things (IoT), cloud computing and blockchain
  • Microwave remote sensing with unmanned aerial vehicles (UAV’s)

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Submission Instructions

Last Date for Manuscript Submission: 03.09.2020

Notifications to Authors: 16.11.2020

Revised Manuscripts Due: 25.01.2021

Final Decisions Notification: 28.03.2021

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