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Applications of GIS: Disaster Management and Emergency Response01:29

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Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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Combining Unmanned Aerial Vehicles, and Internet Protocol Cameras to Reconstruct 3-D Disaster Scenes During Rescue

Chia-Chang Chuang, Jiann-Yeou Rau, Meng-Kuan Lai

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    Summary

    Unmanned aerial vehicles (UAVs) provided real-time 3-D models during the 2016 Meinong earthquake rescue. This innovation improved disaster response and resource deployment for massive casualty incidents (MCIs).

    Keywords:
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    Area of Science:

    • Disaster Medicine
    • Emergency Management
    • Geophysics

    Background:

    • Earthquakes, like the 2016 Meinong earthquake in Taiwan, cause significant structural damage and casualties.
    • Effective disaster response, particularly for massive casualty incidents (MCIs), requires timely assessment and resource allocation.
    • Traditional rescue efforts face challenges in rapidly assessing large-scale damage.

    Purpose of the Study:

    • To introduce an innovative concept for managing massive casualty incidents (MCIs) during earthquake aftermath.
    • To share experiences from the 02/06 Meinong earthquake in Taiwan.
    • To highlight the potential of advanced technologies in enhancing emergency rescue operations.

    Main Methods:

    • Utilized cyber devices, including internet-protocol cameras and multi-rotor unmanned aerial vehicles (UAVs) with high-resolution cameras.
    • Acquired aerial imagery during the rescue operation at a collapsed residential building.
    • Reconstructed a photo-realistic 3-D model from the UAV imagery.

    Main Results:

    • The study demonstrated the first-time use of real-time UAV imagery for disaster assessment.
    • A photo-realistic 3-D model provided crucial real-time information to remote rescue team leaders.
    • This facilitated effective deployment of medical posts and emergency resources at the scene.

    Conclusions:

    • Proposed the concept of real-time UAV imagery for reconstructing photo-realistic 3-D models in disaster scenarios.
    • This approach can significantly enhance prehospital emergency management.
    • The technology offers a novel solution for improving response to massive casualty incidents (MCIs).