Recently, there has been a notable surge in landslides due to heavy rainfall, resulting in increasing devastation to residential areas and downstream transportation networks. In regions prone to landslides, proactive disaster mitigation through continuous monitoring is of utmost importance. Drones o...
Recently, there has been a notable surge in landslides due to heavy rainfall, resulting in increasing devastation to residential areas and downstream transportation networks. In regions prone to landslides, proactive disaster mitigation through continuous monitoring is of utmost importance. Drones offer a distinct advantage, as they can capture high-resolution images efficiently and at a low cost, even in challenging terrains such as steep slopes or hard-to-reach areas, enabling precise terrain analysis. In this study, in order to investigate mountain road slopes where landslides frequently occur, drone surveys were conducted on road slopes in Dogye-eup, Samcheok-si, Gangwon-do, and orthoimages and 3D models expressed as digital surface models(DSM) were generated. In addition, the digital map and drone terrain data were compared, and in the case of slope, the drone data were analysed as 43°, which was very similar to the trend of 44° shown on the digital map. As a result of the comparative analysis of the drone orthophotos and recent aerial photographs, it was confirmed that the surface sliding area has increased.
Recently, there has been a notable surge in landslides due to heavy rainfall, resulting in increasing devastation to residential areas and downstream transportation networks. In regions prone to landslides, proactive disaster mitigation through continuous monitoring is of utmost importance. Drones offer a distinct advantage, as they can capture high-resolution images efficiently and at a low cost, even in challenging terrains such as steep slopes or hard-to-reach areas, enabling precise terrain analysis. In this study, in order to investigate mountain road slopes where landslides frequently occur, drone surveys were conducted on road slopes in Dogye-eup, Samcheok-si, Gangwon-do, and orthoimages and 3D models expressed as digital surface models(DSM) were generated. In addition, the digital map and drone terrain data were compared, and in the case of slope, the drone data were analysed as 43°, which was very similar to the trend of 44° shown on the digital map. As a result of the comparative analysis of the drone orthophotos and recent aerial photographs, it was confirmed that the surface sliding area has increased.
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