Application of UAV remote sensing in natural disaster monitoring and early warning: an example of flood and mudslide and earthquake disasters

Zhonghan Chen

doi:10.54097/zak5hp77

Authors

Zhonghan Chen

DOI:

https://doi.org/10.54097/zak5hp77

Keywords:

RS, UAV, Application, Earthquake disasters.

Abstract

As the frequency and complexity of natural disasters increase, effective monitoring and early warning have become important for the protection of life and property. This paper discusses the role of unmanned aerial vehicle (UAV) remote sensing technology in natural disaster monitoring and early warning. The research in this paper finds that the advantages of UAVs, which carry multiple sensors and are convenient and dexterous, are conducive to natural disaster monitoring. The article then provides examples of UAV applications in different natural disaster scenarios, including monitoring, early warning, post-disaster assessment and ecological restoration in floods, mudslides and earthquakes. In flood monitoring, UAVs equipped with various sensors, such as multi-spectral sensors and infrared thermal imagers, can quickly scan flood-prone areas and transmit data in real time for timely warning and rescue. In mudslide monitoring, drones can collect data such as surface temperature, soil moisture and vegetation health to help identify signs of potential danger. In earthquake monitoring, drones can provide high-resolution images and video to assess earthquake damage and the condition of infrastructure. The future technological innovation and industry development of UAV remote sensing will continue to progress in terms of sensor technology innovation, application of machine learning and artificial intelligence, range extension, and convergence of communication technologies. The significance of this paper is to highlight the importance of UAV remote sensing in natural disaster management and to provide a vision for future research and applications. Drones will continue to play a key role in facilitating the efficiency and accuracy of natural disaster monitoring and early warning to better address potential threats.

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