Browse > Article
http://dx.doi.org/10.5389/KSAE.2018.60.1.067

UAV Aerial Photogrammetry for Cross Sectional Extraction and Slope Stability Analysis in Forest Area  

Kim, Taejin (Department of Rural Systems Engineering, Seoul National University)
Son, Younghwan (Department of Rural Systems Engineering and Research Institute for Agriculture and Life Sciences, Seoul National University)
Park, Jaesung (Division of Environmental Science & Technology, Graduate School of Agriculture, Kyoto University)
Kim, Donggeun (Department of Rural Systems Engineering, Seoul National University)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.60, no.1, 2018 , pp. 67-77 More about this Journal
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.
Keywords
Forest canopy; forest survey; slope shape extraction; slope stability analysis; UAV;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 Yoo, H. H., J. W. Park, J. H. Shim, and S. S. Kim, 2006. Image map generation using low-altitude photogrammetric UAV. Journal of Korean Society for Geospatial Information System, 14(1): 37-47.
2 Zhu, X. and D. Liu, 2014. Accurate mapping of forest types using dense seasonal Landsat time-series. ISPRS Journal of Photogrammetry and Remote Sensing, 96: 1-11. doi:10.1016/j.isprsjprs.2014.06.012   DOI
3 Zongjian, L. I. N. 2008. UAV for mapping-low altitude photogrammetric survey. International Archives of Photogrammetry and Remote Sensing, Beijing, China, 37: 1183-1186.
4 White, J. C., M. A. Wulder, M. Vastaranta, N. C. Coops, D. Pitt, and M. Woods, 2013. The utility of image-based point clouds for forest inventory: A comparison with airborne laser scanning. Forests, 4(3): 518-536. doi:10.3390/f4030518   DOI
5 Kim, D. I., Y. S. Song, G. Kim, and C. W. Kim, 2014. A study on the application of UAV for Korean land monitoring. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 32(1): 29-38. doi:10.7848/ksgpc.2014.32.1.29   DOI
6 Henricsson, O. and E. P. Baltsavias, 1997. 3-D building reconstruction with ARUBA. Automatic extraction of man-made objects from aerial and space images (II), 65-76. doi:10.3929/ethz-a-004334529   DOI
7 Jo, M. H. and Y. W. Jo, 2009. Developing forecast technique of landslide hazard area by integrating meteorological observation data and topographical data-a case study of Uljin area. Journal of the Korean Association of Geographic Information Studies, 12(2):1-10.
8 Jung, S. H., H. M. Lim, and J. K Lee, 2010. Acquisition of 3D spatial information using UAV photogrammetric method. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 28(1): 161-168.
9 Cho, Y. S., 2015. Construction of 3D spatial information and development of site management system using UAV. Ph.D. diss., Cheongju, Korea.: Chungbuk National University (in Korean).
10 Dorren, L. K., B. Maier, and A. C. Seijmonsbergen, 2003. Improved Landsat-based forest mapping in steep mountainous terrain using object-based classification. Forest Ecology and Management, 183(1): 31-46. doi:10.1016/S0378-1127(03)00113-0   DOI
11 Kim, J. G., 2007, A study on the relational features between the bands' characteristics of color aerial photos and the accuracy of the extracted DEM. Ph.D. diss., Seoul, Korea.: Seoul National University (in Korean).
12 Lee, K. H., 2000. A study on 3-D spatial information analysis and application using satellite image, 34-72. Seoul, Korea : Sogang University
13 Kim, S. S., J. H. Jung, E. M. Kim, H. H. Yoo, and H. G. Sohn, 2008. Geocoding of low altitude UAV imagery using affine transformation model. Journal of Korean Society for Geospatial Information System, 16(4): 79-87.
14 Lee, G. S. and Y. W. Choi, 2015. Landslide hazard evaluation using geospatial information based on UAV and infinite slope stability model. Journal of cadastre and land informatix, 45(2): 161-173.   DOI
15 Lee, I. S., J. O. Lee, S. J. Kim, and S. H. Hong, 2013. Orhtophoto accuracy assessment of ultra-light fixed wing UAV photogrammetry techniques. Journal of the Korean Society of Civil Engineers, 33(6): 2593-2600. doi:10.12652/Ksce.2013.33.6.2593   DOI
16 Park, J. H. and W. H. Lee, 2016. Orthophoto and DEM generation in small slope areas using low specification UAV. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 34(3): 283-290. doi:10.7848/ksgpc.2016.34.3.283   DOI
17 Lee, W. H., J. O. Kim, K. Y. Yu, and Y. I. Kim, 2004. A study on the 3-dimensional modeling of buildings in urban areas using digital maps and LiDAR data. Journal of The Korean Society of Civil Engineers, 24(2D): 311-318.
18 Lim, S. B., C. W. Seo, and H. C. Yun, 2015. Digital map updates with UAV photogrammetric methods. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 33(5): 397-405. doi:10.7848/ksgpc.2015.33.5.397   DOI
19 Nagai, M., T. Chen, R. Shibasaki, H. Kumagai, and A. Ahmed, 2009. UAV-borne 3-D mapping system by multisensor integration. IEEE Transactions on Geoscience and Remote Sensing, 47(3): 701-708. doi:10.1109/TGRS.2008.2010314   DOI
20 Niethammer, U., S. Rothmund, U. Schwaderer, J. Zeman, and M. Joswig, 2011. Open source image-processing tools for lowcost UAV-based landslide investigations. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci, 38(1), C22.
21 Park, J. S., 2017, Soil classification and characterization using unmanned aerial vehicle and digital image processing. Ph.D. diss., Seoul, Korea.: Seoul National University (in Korean).
22 St-Onge, B., F. A. Audet, and J. Begin, 2015. Characterizing the height structure and composition of a boreal forest using an individual tree crown approach applied to photogrammetric point clouds. Forests, 6(11): 3899-3922. doi:10.3390/f6113899   DOI
23 White, J. C., C. Stepper, P. Tompalski, N. C. Coops, and M. A. Wulder, 2015. Comparing ALS and image-based point cloud metrics and modelled forest inventory attributes in a complex coastal forest environment. Forests, 6(10): 3704-3732. doi: 10.3390/f6103704   DOI