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http://dx.doi.org/10.5762/KAIS.2018.19.11.481

A Study on Detection and Monitoring in land creeping area by Using the UAV  

Seo, Jun-Pyo (Division of Forest Disaster Management, National Institute of Forest Science)
Woo, Choong-Shik (Division of Forest Disaster Management, National Institute of Forest Science)
Lee, Chang-Woo (Division of Forest Disaster Management, National Institute of Forest Science)
Kim, Dong-Yeob (Division of Forest Disaster Management, National Institute of Forest Science)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.19, no.11, 2018 , pp. 481-487 More about this Journal
Abstract
This paper proposes a method to detect and monitor the land creeping area using a UAV to analyze the damaged area efficiently. Using a UAV, it was possible to secure the safety of the investigators before the field survey and effectively utilize it to establish an investigation plan because an orthophoto can be used to detect and scale the cracks in a land creeping area. In addition, it was possible to analyze the scale of the crack quantitatively by extracting the topographic information from the orthophoto. The study sites were found to have a total crack area of 1.01 ha, a length of 1.07 km, an average width of 10 m, and a step distance of 1 to 10 m. Periodic UAV measurements can be used to detect displacements on the land creeping area and monitor the direction and scale of crack spread. Therefore, it is expected to be used effectively during recovery planning. Applying the UAV to the land creeping area resulted in the qualitative and quantitative results quickly and easily in dangerous mountainous watersheds. Therefore, it is expected that it will contribute to the development of related industries because of the high availability of a UAV in forest soil sediment disasters, such as landslides, debris flow, and land creeping area.
Keywords
Detecting crack; Land creeping; Monitoring; UAV; Utilization possibility;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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