Perozzo et al. (2024) - Dataset

General Description Supplementary material representing the Digital Outcrop Model resulting from the acquired photogrammetric dataset with Agisoft Metashape software (Agisoft, 2019) and the surfaces measured derived from a manual extraction method using the open source CloudCompare software (CloudCompare, 2019). Using the Scale Invariant Feature Transform, Structure from Motion and Multi-View Stereo algorithms this software can generate 3D models from 2D photographs (see Carrivick et al., 2016 and reference therein for a description of these algorithms). To develop the DOM, particularly the 3D point cloud, we performed photo-alignment and dense cloud reconstruction using the full resolution of the photographs. This allows us to create a full-resolution point cloud with a mean point spacing of approximately 2 cm (2300 points/m2). This point cloud was directly georeferenced using the position registered by the RTK GNSS of the UAV. Different authors (Peppa et al., 2019; Taddia et al., 2019, 2020; Stott et al., 2020; Štroner et al., 2020) shown that the direct georeferencing of imagery datasets of UAV equipped with RTK GNSS can generate DOMs with high absolute accuracy (i.e., low positioning errors, < 5 cm) and high relative accuracy (i.e., low errors in terms of scale and orientation). Please, to more information refer to the following paper: Perozzo m., Menegoni N., Foletti M., Poggi E., Benedetti G., Carretta N., Ferro S., Rivola W., Seno S., Giordan D. & Maino M. (2024). Evaluation of an innovative, open-source and quantitative approach for the kinematic analysis of rock slopes based on UAV based Digital Outcrop Model: a case study from a railway tunnel portal (Finale Ligure, Italy). Engineering Geology. Detailed Description Pointcloud_Full-Resolution.las: Pointcloud in .Las format developed using Agisoft Matashape at the full resolution. See the Processing Report for a detailed description of the used processing parameters. DOM_Processing-Report.pdf: .pdf exported from Agisoft Metashape describing all the processing informations. Mapped_Discontinuity_Traces-Planes.dxf: .dxf file containing all the polylines created during the manual discontinuity mapping that represents the discontinuity traces and surfaces. Manual-Discontinuities-Geometrical-Info.xlsx: excel spreadsheet containing all the geometrical information of the 3D planes fitted to the manual dataset. Automatic-Discontinuity-Dataset.txt: .txt file representing the pointcloud output of the automatic discontinuity mapping performed using DSE algorithm (See report in Supplementary Materials in Perozzo et al. 2024). Automatic-Discontinuities-Geometrical-Info.xlsx:excel spreadsheet containing all the geometrical information of the 3D planes fitted to the automatic dataset. Pointcloud-Subsampled-10cm-forROKA.txt: Pointcloud subsampled with 10 cm point spacing in .txt used by the ROKA algorithm. Fitted_Discontinuity_Planes.bin: CloudCompare .bin file (can be opened only with CloudCompare) containing the 3D facets representing the fitted discontinuity planes according to the Baecher's Model.