UAV 항공사진을 이용한 산림지 횡단면도 추출 및 사면안정성 평가
UAV Aerial Photogrammetry for Cross Sectional Extraction and Slope Stability Analysis in Forest Area
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참고문헌
키워드
초록
The objective of this study is to extract the shape of the slope from the images acquired using UAV and evaluate its suitability and reliability when applied to slope stability analysis. UAV is relatively inexpensive and simple, and it is possible to make terrain survey by generating point clouds. However, the image acquired from UAV can not be directly photographed by the forest canopy due to the influence of trees, resulting in severe distortion of the terrain. In this study, therefore, the effects of forest canopy were verified and the slope stability analysis was performed. Images acquired in winter and summer were used, because summer images are heavily influenced by the forest canopy and winter images are not. As a result of the study, the winter image is suitable for the extraction of slope shape, but severe terrain distortion occurs in the summer image. Therefore, slope stability analysis using slope shape extracted from summer image is impossible, so it should be modified for slope stability analysis. The modified slope did not completely eliminate the distortion of the terrain, but it could express the approximate shape of the slope. As a result of the slope stability analysis, the location and shape of the failure surface are the same, and the error of the safety factor is less than 0.2, which is close to the actual slope.
Abstract
The objective of this study is to extract the shape of the slope from the images acquired using UAV and evaluate its suitability and reliability when applied to slope stability analysis. UAV is relatively inexpensive and simple, and it is possible to make terrain survey by generating point clouds. However, the image acquired from UAV can not be directly photographed by the forest canopy due to the influence of trees, resulting in severe distortion of the terrain. In this study, therefore, the effects of forest canopy were verified and the slope stability analysis was performed. Images acquired in winter and summer were used, because summer images are heavily influenced by the forest canopy and winter images are not. As a result of the study, the winter image is suitable for the extraction of slope shape, but severe terrain distortion occurs in the summer image. Therefore, slope stability analysis using slope shape extracted from summer image is impossible, so it should be modified for slope stability analysis. The modified slope did not completely eliminate the distortion of the terrain, but it could express the approximate shape of the slope. As a result of the slope stability analysis, the location and shape of the failure surface are the same, and the error of the safety factor is less than 0.2, which is close to the actual slope.
참고문헌 (23)
- Cho, Y. S., "Construction of 3D spatial information and development of site management system using UAV", Ph.D., pp.2015
- Dorren, L. K., "Improved Landsat-based forest mapping in steep mountainous terrain using object-based classification", Forest Ecology and Management, 183(1), pp.31~46 (2003)[DOI]
- Henricsson, O., "3-D building reconstruction with ARUBA", Automatic extraction of man-made objects from aerial and space images (II), pp.65~76 (1997)
- 조명희, "기상과 지형자료를 통합한 산사태 위험지 예측 기법 개발 -울진지역을 대상으로-", 한국지리정보학회지, 12(2), pp.1~10 (2009), 한국지리정보학회
- 정성혁, "무인항공 사진측량을 이용한 3D 공간정보 취득", 한국측량학회지, 28(1), pp.161~168 (2010), 한국측량학회
- 김덕인, "무인항공기의 국토모니터링분야 적용을 위한 연구", 한국측량학회지, 32(1), pp.29~38 (2014), 한국측량학회[DOI]
- Kim, J. G., "A study on the relational features between the bands' characteristics of color aerial photos and the accuracy of the extracted DEM", Ph.D., pp.2007
- 김성삼, "부등각사상변환을 이용한 저고도 UAV 영상의 지형보정", 대한공간정보학회지, 16(4), pp.79~87 (2008), 대한공간정보학회
- 이근상, "UAV 기반의 공간정보와 무한사면해석모형을 활용한 산사태 위험도 평가", 지적과 국토정보, 45(2), pp.161~173 (2015), 한국국토정보공사
- 이인수, "초경량 고정익무인항공기 사진측량기법의 정사영상 정확도 평가", 대한토목학회논문집(국문), 33(6), pp.2593~2600 (2013), 대한토목학회[DOI]
- A study on 3-D spatial information analysis and application using satellite image, "Lee, K. H.", Sogang University, 34~72 (2000)
- 이원희, "수치지도와 LiDAR 자료를 이용한 도시지역 건물 3차원 모델링에 관한 연구", 대한토목학회 논문집D, 24(2d), pp.311~318 (2004), 대한토목학회
- 임수봉, "무인항공사진측량 방법에 의한 수치지도 갱신", 한국측량학회지, 33(5), pp.397~405 (2015), 한국측량학회[DOI]
- Nagai, M., "UAV-borne 3-D mapping system by multisensor integration", IEEE Transactions on Geoscience and Remote Sensing, 47(3), pp.701~708 (2009)[DOI]
- Niethammer, U., "Open source image-processing tools for lowcost UAV-based landslide investigations", Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci, 38(1), pp.C22~ (2011)
- 박진환, "저사양 무인항공기를 이용한 소규모 경사지역의 정사영상 및 수치표고모델 제작", 한국측량학회지, 34(3), pp.283~290 (2016), 한국측량학회[DOI]
- Park, J. S., "Soil classification and characterization using unmanned aerial vehicle and digital image processing", Ph.D., pp.2017
- St-Onge, B., "Characterizing the height structure and composition of a boreal forest using an individual tree crown approach applied to photogrammetric point clouds", Forests, 6(11), pp.3899~3922 (2015)[DOI]
- White, J. C., "Comparing ALS and image-based point cloud metrics and modelled forest inventory attributes in a complex coastal forest environment", Forests, 6(10), pp.3704~3732 (2015)[DOI]
- White, J. C., "The utility of image-based point clouds for forest inventory: A comparison with airborne laser scanning", Forests, 4(3), pp.518~536 (2013)[DOI]
- 유환희, "저고도좔영시스템을 이용한 영상지도 제작", 대한공간정보학회지, 14(1), pp.37~47 (2006), 대한공간정보학회
- Zhu, X., "Accurate mapping of forest types using dense seasonal Landsat time-series", ISPRS Journal of Photogrammetry and Remote Sensing, 96, pp.1~11 (2014)[DOI]
- Zongjian, L. I. N., "UAV for mapping-low altitude photogrammetric survey", International Archives of Photogrammetry and Remote Sensing, 37, pp.1183~1186 (2008)