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PhotoScan Professional

Manufactured by Agisoft
Sourced in Sao Tome and Principe

PhotoScan Professional is a software product for 3D modeling from photographs. It supports processing of digital images and generates 3D spatial data.

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9 protocols using PhotoScan Professional

The SfM model processing is performed using Agisoft PhotoScan Professional [50 ]. Processing of the SfM model consists of Agisoft’s standard workflow: alignment of photos to create a sparse cloud, manual identification of GCPs and CPs in images, optimization of camera alignment, generation of a dense point cloud and generation of a 3D textured mesh. Default PhotoScan values are used for processing with a couple of the key settings listed in Table 2. PhotoScan is selected as the primary modeling program based on performance, ubiquity in the literature [51 (link),52 (link),53 (link)] and processing reports. Eventually, the density of the point clouds, the error in location of the GCPs and CPs, and comparisons of time and photos required demonstrates the merit of multi-scale models and methods. Visual comparisons are also made using Bentley ContextCapture [54 ] because of meshing ability and ease of model navigation [55 (link)].
The processed multi-scale SfM model is comparatively analyzed by priority region for accuracy, resolution, visual clarity, and reconstruction quality. GCP and CP error residuals in the SfM model are analyzed using JMP® [56 ]. Resolution mapping is performed in CloudCompare [57 ] (which is open source) and visual clarity and reconstruction quality are assessed via Acute 3D Viewer [54 ].
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To collect complexity metrics, five randomly generated 5 m transects were overlayed on each 3D reconstruction. Then, for each transect, the topographic profile cross-section was calculated (S2 Fig in S1 File). Using these cross-sections and the orthomosaics of reef structure, the following complexity metrics were obtained: a) rugosity index, b) average rate of change in elevation (verticality), c) hard coral cover, d) available refuges, e) feeding field-of-view and f) grazing surface area. Each of these metrics is obtained from five independent (1-D) transects; in effect we were applying traditional liner 1-D measures of complexity within a 3D digital reconstruction. Each metric is described in detail below, all measurements were taken within Agisoft® PhotoScan Professional.
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In November 2012, the entire Lotus site was mapped on transparent plastic film (Fig 3, S1 Fig). The tracks of Layers 1 and 2 were measured and photographed for 2D and 3D analyses. The original tracings on plastic film have been reposited at the Qijiang National Geological Park. Replicas were made of several sets using latex for the initial molds and plaster of Paris and fibreglass replicas. They are housed in the Qijiang National Geological Park Museum, with additional replicas in the University of Colorado collections.
The maximum track length (L), maximum width (W), maximum depth (D), pace length (PL), stride length (SL), pace angulation (PA), rotation (R), trackway width (TW) and the angle between digits II–III, III–IV were measured for the ornithopod trackways.
Photogrammetric images were produced from multiple digital photographs (Canon EOS 5D Mark III) which were converted into scaled, highly accurate 3D textured mesh models using Agisoft Photoscan Professional. The mesh models were then imported into Cloud Compare where the models were rendered with accurately scaled color topographic profiles.
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4

Photogrammetry-based Documentation of Animal Tracks and Human Footprints

Photogrammetry models generated by the Goethe University team using the Structure from Motion method served as a basis for documenting the animal tracks and human footprints that occur in the engravings [49 ]. The software used to generate the models was Agisoft PhotoScan Professional. The orthophotographs produced in this way were digitally enhanced (Fig 3); we assigned an individual ID-number to every track identified (Fig 7).
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The UAS-imagery for the photogrammetry model was obtained with the CMOS RGB camera sensor
(1 inch sensor, 20MP resolution) onboard Phantom 4 Pro. Camera settings for the flights are summarized in Table 2. UAS-imagery are processed in the software AgiSoft PhotoScan Professional (Version 1.4.5) retrieved from https://www.agisoft.com/.
We compared 3 different methods to estimate WSE from photogrammetry observations: i) extraction of elevation of the photogrammetric point cloud values contained in the river polygon (to be consistent with radar) ii) extraction of photogrammetric DEM elevation values along river centreline iii) extraction of the elevation of points at the "water-edge" to be consistent with the previously published methodology (Westaway et al., 2001 (Westaway et al., , 2000;; (link)Woodget et al., 2015) .
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Capturing images of each humerus was done using a Nikon D3200 with an 18 -55mm lens. Each bone was held in place, using clay, in the center of a round swivel turntable with the proximal end facing up. Turning the swivel, photos were taken every 10° until the whole bone was captured. This was done at three various angled heights: 0° (straight on), 30°, and 60°. The process was repeated with the distal end facing up. In total, each bone had a set of 216 photos, 108 for the proximal and distal ends, respectively. 3D-surface models were created using the AgiSoft PhotoScan Professional software from the photos for each specimen.
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The commercial software Agisoft Photoscan Professional (Agisoft LLC, St. Petersburg, Russia), which performs photogrammetric processing of digital images, is used to recover dense point clouds with colors from the acquired MVS images (Figures 4(a)4(c)). This software is commonly used in MVS-based plant phenotyping [41 (link), 42 (link)]. Photoscan is able to reconstruct 3D objects automatically using a series of ordered or unordered images with overlapping areas. The moving trajectory and coordinates of the camera are not needed during the processing.
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8

Drone-Based Multispectral Mapping of Agricultural Fields

Data acquisition occurred on 27 July 2018, using a drone (DJI Phantom 4 Pro +) equipped with high-definition and multi-sector RGB (i.e., with three Electromagnetic Spectra Bands–Red, Green, and Blue) and Parrot Sequoia (i.e., with five Electromagnetic Spectra Bands–NIR, REG, Green, Red, and RGB) cameras. Calibration of the multispectral Parrot Sequoia camera further considered the environmental brightness conditions. Images collected were then processed in a workstation (AORUS, GIGA-BYTE Technology Co., Ltd.-2019), to produce the final orthophotomap. To evaluate the general morphology and surface water drainage areas of the experimental fields, Agisoft PhotoScan Professional (Version 1.2.6, Software of 2016 and the ESRI of 2011 and ArcGIS Desktop-Release 10 from Redlands, CA: Environmental Systems Research Institute) was used. The evaluation of drainage areas of surface waters was carried out as follows [22 (link)]. According to the field morphology, the highest class corresponded to the land that enhances the surface runoff of the water and does not promote infiltration. Conversely, the lower class corresponded to flattened surfaces, as potential infiltration areas, since they promote the accumulation of surface water.
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From 2006–2014, we excavated 24 unique sites within the c.1.5 Ma Ileret Tuff Complex that contained footprint surfaces and did so using a variety of survey and excavation methods. All hominin footprints that were discovered in these excavations (97 footprints from five different sites) were catalogued, mapped using a total station, measured directly (for external linear measurements such as length and breadth), and photographed in such a way that high-resolution, scaled 3-D models of each footprint could be rendered using photogrammetry software (Agisoft PhotoScan Professional, Agisoft, LLC, St. Petersburg, Russia). The same methods were used to render high-resolution 3-D photogrammetric models of first-generation casts of the Laetoli hominin footprints at the National Museums of Kenya.
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