Application of Drone Remote Sensing in Emergency Response and Prevention of Geologic Hazards
This article aims to discuss the application of unmanned aerial vehicle (UAV) remote sensing in emergency response and prevention of geological disasters in China. Disasters are characterized by suddenness and unpredictability, which pose significant challenges to emergency rescue efforts. China is one of the countries in the world that experiences the most frequent and severe geological disasters, with features such as wide distribution, strong suddenness, and severe losses. Due to its rapid response, high efficiency, and low cost, UAVs have become powerful tools for emergency rescue in geological disasters. This article first introduces the application background of UAV remote sensing in the field of geological disasters, and then presents the application history of UAV remote sensing. Ultimately, the research concludes that since the 21st century, especially in the past decade, UAV remote sensing technology has developed rapidly, and with its rapid commercialization and popularization, the application of UAVs in various industries has shown a rapid growth trend. Currently, the application of UAV remote sensing in China's geological disaster industry mainly focuses on emergency investigation and disaster assessment, geological disaster investigation and evaluation, and dynamic monitoring of geological disasters. However, the main purpose and core value of applying UAV remote sensing in geological disaster prevention and control still only lie in obtaining basic information such as digital orthophoto images and digital terrain, and there is relatively little involvement in industry-level data mining, multi-source information fusion, and comprehensive model establishment, which are crucial for disaster prevention and mitigation and early warning.
Authors
- Hongyu Zhang (ORCID: https://orcid.org/0000-0002-3063-9425)
- Chaosheng Wang (ORCID: https://orcid.org/0000-0003-3589-3286)
Publication Details
- Journal
- Academic Journal of Science and Technology
- Published
- 2025-05-15
- DOI
- https://doi.org/10.54097/p5gnwa25
- Citations
- 1
- Primary Topic
- Remote Sensing and Land Use
- Type
- article
- Field-Weighted Citation Impact
- 1.30