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Hinged, pseudo-grid triangulation method for long, near-linear cliff analyses

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https://ir.library.oregonstate.edu/concern/articles/44558f141

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  • LIDAR scanners can rapidly collect high resolution, cm-level accurate point clouds representing topography, suitable for change detection if scans are repeated over time. To perform meaningful volumetric change analyses, point clouds are commonly triangulated to produce continuous, digital terrain models (DTMs). However, DTM creation methods generally require a fixed look direction tied to a specific plane, which results in less than ideal triangulations when modeling areas with largely varying topography, such as coastal cliffs and beaches. Furthermore, for accurate volumetric change analysis, surfaces must be free of intersecting triangles, have consistent facet normal orientations, and be free of data gaps (holes). The methodology presented herein produces continuous surfaces without inconsistent normals and minimizes holes and self intersections. The few intersecting triangles and holes may be quickly repaired using existing algorithms and were shown to be substantially less abundant compared to common surfacing techniques. Finally, the data structuring of this technique significantly shortens processing time, reduces memory requirements, and enables efficient and interactive visualization through both sub-sampling at varying scales and optimized view frustum calculations.
  • Keywords: triangulation, 3D, surface modeling, terrain, laser scanning, LIDAR, cliff, coast
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  • Olsen, M., Kuester, F., and Johnstone, E. (2013). ”Hinged, Pseudo-Grid Triangulation Method for Long, Near-Linear Cliff Analyses.” Journal of Surveying Engineering, 139(2), 105–109.
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  • 139
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  • 2
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  • This material was supported by California Sea Grant (Project #R/OE-39), the Coastal Environmental Quality Initiative (CEQI #04-T-CEQI-06-0046), and the National Science Foundation (#0403433). Leica Geosystems and Maptek I-Site generously provided software used in this study to aid in point cloud processing and triangulation evaluation.
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