해안지역의 시계열 지형변화 분석을 위한 UAS 활용 가능성 평가: 안면도 바람아래해변을 대상으로
Assessing the Applicability of UAS for Detecting Geomorphological Changes in Coastal Areas: A Case Study in the Baramarae Beach in Anmyeon-do
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초록
In this study, we took time-series photos of the Baramarae beach in Anmyeon-do utilizing an unmanned aerial vehicle (UAV), in order to develop digital surface models (DSMs) of the area. The accuracies of these DSMs were then evaluated. After that, in order to verify whether UAS(Unmanned Aerial vehicle System) has proper applicability to figure out coastal geomorphological changes, DSMs have been differentiated. We differentiated the DSMs to verify whether our UAV system (hereafter, UAS) had a general applicability for detecting coastal geomorphological changes. In more particular, the DSMs were evaluated whether their errors lay within the error range of work provisions suggested by National Geographic Information Institute. Therefore, quantitative vertical positional accuracies calculated additionally. We found very high positional accuracies with RMSEs ranging from 0.065 m to 0.14 m and R2 varying from 0.9979 to 0.9743, respectively. Erosion and sedimentation patterns were also checked with the verified DSMs. Hence, we conclude that the UAS employed in this research has an appropriate applicability for detecting geomorphological changes in coastal areas.
Abstract
In this study, we took time-series photos of the Baramarae beach in Anmyeon-do utilizing an unmanned aerial vehicle (UAV), in order to develop digital surface models (DSMs) of the area. The accuracies of these DSMs were then evaluated. After that, in order to verify whether UAS(Unmanned Aerial vehicle System) has proper applicability to figure out coastal geomorphological changes, DSMs have been differentiated. We differentiated the DSMs to verify whether our UAV system (hereafter, UAS) had a general applicability for detecting coastal geomorphological changes. In more particular, the DSMs were evaluated whether their errors lay within the error range of work provisions suggested by National Geographic Information Institute. Therefore, quantitative vertical positional accuracies calculated additionally. We found very high positional accuracies with RMSEs ranging from 0.065 m to 0.14 m and R2 varying from 0.9979 to 0.9743, respectively. Erosion and sedimentation patterns were also checked with the verified DSMs. Hence, we conclude that the UAS employed in this research has an appropriate applicability for detecting geomorphological changes in coastal areas.
참고문헌 (32)
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