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183 results for “Laser Scanning”
New insights into tree architecture from mobile laser scanning and geometry analysis
<p><span>The structure and dynamics of a forest are defined by the architecture and growth patterns of its individual trees. In turn, tree architecture and growth result from the interplay between the genetic building plans and environmental factors. We set out to investigate whether (i) latitudinal adaptations of the crown shape occur due to characteristic solar elevation angles at a species' origin, (ii) architectural differences in trees are related to seed dispersal strategies, and (iii) tree architecture relates to tree growth performance. We used Mobile Laser Scanning (MLS) to scan 473 trees and generated three-dimensional data of each tree. Tree architectural complexity was then characterized by fractal analysis using the box-dimension approach along with a topological measure of the top-heaviness of a tree. The tree species studied originated from various latitudinal ranges but were grown in the same environmental settings in the arboretum. We found that trees originating from higher latitudes had significantly less top-heavy geometries than those from lower latitudes. Therefore, to a certain degree, the crown shape of tree species seems to be determined by their original habitat. We also found that tree species with wind-dispersed seeds had a higher structural complexity than those with animal-dispersed seeds (p < 0.001). Furthermore, tree architectural complexity was positively related to the growth performance of the trees (p < 0.001). We conclude that the use of 3D data from MLS in combination with geometrical analysis, including fractal analysis, is a promising tool to investigate tree architecture.</span></p>
Tiles of airborne laser scanning point clouds of Vienna, Austria (2016)
<p>Airborne laser scanning of the city of Vienna, which was organized by the survey department of the City Administration of Vienna (MA41). The data acquisition was performed in eight flight missions in November 2015.</p> <p>After strip adjustment relative accuracy of the point cloud was in the order of 2cm. The absolute accuracy measured as RMSE is better than 5cm in planimetry and better than 4cm in elevation. The dataset was cleaned and does not involve obvious gross errors, e.g. points high up in the air or points far below ground level. The point density is measured as by last echoes per unit area and is more than 15 points/m<sup>2</sup> for 97% of the area. The average point density is 33 points/m<sup>2</sup>.</p> <p>The LiDAR dataset of the city is organized in a number of 1270m×1020m tiles (including a 10m overlap of all neighboring tiles).</p> <p>Reference labels were generated semi-automatically: a rough filtering of main objects was firstly conducted by the software “Terrasolid”, and the final classification was refined by manual labelling. For the purpose of Vienna city administration, five classes are considered, namely ground, buildings, vegetation, others, water and bridges. All common street objects are categorized as others, such as (e.g.) streetlights, benches, shrubs, cars, construction sites and garbage bins. The different classes are defined by the following numeric integer codes: 2: Ground, 5: Vegetation, 6: Buildings, 8: Others, 9: Water and 17: Bridges.</p> <p>The quality of the labelling was manually checked. In 20 sites of 100m×100m the classification was manually verified, and the average accuracy of reference labels is 95%.</p> <p>Total 9 tiles are published, in which 4 tiles were used for the training and 5 tiles for the evaluation in the paper “A Comparison of Deep Learning Methods for Airborne LiDAR Point Clouds Classification”. Their locations in the city of Vienna can be found in the file of metadata, which also provides WGS84/GRS80 latitude and longitude coordinates of the extent corners of each tile (EPSG: 31256). This can be used to access images of the tiles from Google Maps or other public map service.</p> <p> </p>
V79 fibroblasts loaded with 50 nm PVP coated gold particles captures by confocal laser scanning microscopy
<p>Data was recorded continuously in a region of 41x41 μm² at a scan rate of 1400 Hz resulting in a frame duration of 94 ms; the pinhole was set to 600 μm (5.778 μm layer), image resolution was 256x256 pixel. (11 FPS)</p>
Scan tiles obtained through Confocal Laser Scanning Microscopy for roughness characterization of surfaces
<p>The Data includes all the original data collected from individual scan tiles of both quartz and glass surfaces using Confocal Laser Scanning Microscopy. The techniques used for merging scan tiles linearly, as well as the procedures for data processing and analysis, are detailed in the methods and results sections of this manuscript. A sperate methods section include along with data files also describe the details of the Image acquisition, preprocessing, and tiling methodology.</p>
Supplementary Data for Manuscript 'Observing impacts on luminescence depth profile evolutions from surface altered quartzite using OSL laser scanning and controlled light exposed rock sampling techniques'
<p>The attached file contains supplementary documents offered in the Quaternary Geochronology manuscript 'Observing<strong> </strong>impacts on luminescence depth profile evolutions from surface altered quartzite using OSL laser scanning and controlled light exposed rock sampling techniques' for the LED2023 special issue. </p>
Presentation in HEARING: High-resolution structural and functional EAR imaging 2023: Three-dimensional vibration of the human tympanic membrane using a scanning laser doppler vibrometer
<p>This is for Bastian Baselt's poster presentation in HEARING: High-resolution structural and functional EAR imaging, Ascona, Switzerland in 2023, and the related data.</p>
Individual tree dataset from airborne laser scanning data
<h1>General description</h1> <p>Data about individual tree segments detected from the Finnish national 5 pt/m^2 airborne laser scanning data. The dataset contains 281304 individual trees from a test site of 3km x 3km located in Padasjoki, Finland. The ALS data has been collected in 2019.</p> <h1>Data description</h1> <p>The individual tree segment dataset has been published as a CSV file. The tree height, DBH, stem volume and above-ground biomass have been predicted using Random Forest Machine Learning models. The rest of the features have been calculated directly from the ALS point cloud. The CSV file contains the following columns:</p> <ul> <li><strong>LX</strong> and <strong>LY</strong>: tree location (location of max height in the canopy height model) in the ETRS-TM35FIN coordinate reference system (EPSG:3067)</li> <li><strong>Hmax</strong>: tree height (based on highest returns)</li> <li><strong>Gele</strong>: ground elevation at tree location (interpolated from ground points)</li> <li><strong>lowBranch</strong>: height of lowest branch (limited accuracy)</li> <li><strong>crownV</strong>: crown volume as 3D convex hull</li> <li><strong>species</strong>: predicted species: 1 = pine, 2 = spruce, 3 = deciduous tree</li> <li><strong>H</strong>: predicted tree height</li> <li><strong>DBH</strong>: predicted diameter at breast height</li> <li><strong>Volume</strong>: predicted stem volume</li> <li><strong>Biomass</strong>: predicted above-ground biomass (dry mass)</li> </ul> <h1>Citation</h1> <p>Any scientific publication using the data should cite the following paper:</p> <p>Hyyppä, M., Turppa, T., Hyyti, H., Yu, X., Handolin, H., Kukko, A., Hyyppä, J., & Virtanen, J. -P. (2024). Concepts Towards Nation-Wide Individual Tree Data and Virtual Forests. <em>ISPRS International Journal of Geo-Information</em>, <em>13</em>(12), 424. https://doi.org/10.3390/ijgi13120424</p>
Data from: Structured Detection for Simultaneous Super-Resolution and Optical Sectioning in Laser Scanning Microscopy
<p>This repository contains the raw data of the experimental ISM dataset used to make the figures and supplementary figures for the paper entitled <em>Structured Detection for Simultaneous Super-Resolution and Optical Sectioning in Laser Scanning Microscopy.<br></em></p>
Research compendium for 'Practical and technical aspects for the 3D scanning of lithic artefacts using micro-computed tomography techniques and laser light scanners for subsequent geometric morphometric analysis. Introducing the StyroStone protocol'
<p><strong>Abstract:</strong></p> <p>Here, we present a new method to scan a large number of lithic artefacts using three-dimensional (3D) scanning technology. Despite the rising use of high-resolution 3D surface scanners in archaeological sciences, no virtual studies have focused on the 3D digitization and analysis of small lithic implements such as bladelets, microblades, and microflakes. This is mostly due to difficulties in creating reliable 3D meshes of these artefacts resulting from several inherent features (i.e., size, translucency, and acute edge angles), which compromise the efficiency of structured light or laser scanners and photogrammetry. Our new protocol <em>StyroStone</em> addresses this problem by proposing a step-by-step procedure relying on the use of micro-computed tomographic technology, which is able to capture the 3D shape of small lithic implements in high detail. We tested a system that enables us to scan hundreds of artefacts together at once within a single scanning session lasting a few hours. As also bigger lithic artefacts (i.e., blades) are present in our sample, this protocol is complemented by a short guide on how to effectively scan such artefacts using a structured light scanner (Artec Space Spider). Furthermore, we estimate the accuracy of our scanning protocol using principal component analysis of 3D Procrustes shape coordinates on a sample of meshes of bladelets obtained with both micro-computed tomography and another scanning device (i.e., Artec Micro). A comprehensive review on the use of 3D geometric morphometrics in lithic analysis and other computer-based approaches is provided in the introductory chapter to show the advantages of improving 3D scanning protocols and increasing the digitization of our prehistoric human heritage.</p> <p><strong>Content List:</strong></p> <ul> <li><strong>S1. </strong>Step-by-step protocol entitled ‘StyroStone: A protocol for scanning and extracting three-dimensional meshes of stone artefacts using Micro-CT scanners’. Also available on protocols.io (dx.doi.org/10.17504/protocols.io.bzbfp2jn);</li> <li><strong>S2. </strong>Dataset with all raw semilandmark coordinate data (in .xlsx format) used in the validation study;</li> <li><strong>S3. </strong>AGMT3D project. The file “Validation Protocol-MorphoProject.mat” can be used to open the project in the software AGMT3D;</li> <li><strong>S4. </strong>Dataset in .csv format of the principal component score data of the validation study;</li> <li><strong>S5.</strong> R script used to create Figure 2 using the R package ggplot2;</li> <li><strong>S6. </strong>3D models of the experimental bladelets obtained with the Micro-CT scanner used in the validation study. Both .ply and .wrl formats are provided;</li> <li><strong>S7. </strong>3D models of the experimental bladelets obtained with the Artec Micro scanner used in the validation study. Both .ply and .wrl formats are provided.</li> </ul>
Supplementary material for: AIRBORNE LASER SCANNING CHANGE DETECTION FOR QUANTIFYING GEOMORPHOLOGICAL PROCESSES IN HIGH MOUNTAIN REGIONS
<p>Supplementary material for: TCII/10-AIRBORNE LASER SCANNING CHANGE DETECTION FOR QUANTIFYING GEOMORPHOLOGICAL PROCESSES IN HIGH MOUNTAIN REGIONS</p> <p>For submission of the full paper to: International Society for Photogrammetry and Remote Sensing (ISPRS) / <strong>XXIV ISPRS Congress 2022 Nice, France, 6 - 11 June 2022</strong>.</p> <p><strong>ADDITIONAL FIGURES AND MAPS</strong><br> Supplementary materials:<br> Figure S1: Classification preparation and decision tree.<br> Figure S2: 3D distance change and change offset overall map.<br> Figure S3: Geomorphological map inventoried by manual mapping.<br> Figure S4: Classified real changes of the valley area between 2006 and 2017.<br> Figure S5: Classified real changes between 2006 and 2017.</p> <p> </p> <p> </p> <p> </p>
Dynamic deformation calculation of articular cartilage and cells using resonance-driven laser scanning microscopy - Deformable Registration Validation Dataset
<p>This dataset includes the supporting input files, scripts, and output files for validation tests of lsmgridtrack v0.3 applied to resonance scanned images. </p>
ODP Site 1249, ODP Site 1252, and IODP Site U1325: X-ray fluoresence core scanning, laser diffraction grain size, CNS elemental/isotopic, environmental magnetism, and age model data
<p>We present data used as part of an integrative early diagenesis study (submitted September 2022 to Marine Geology) focused on identifying zones of magnetite dissolution and pyrite precipitation in which magnetic susceptibility records are altered in gas-hydrate bearing sediments on the Cascadia Margin using archived cores from the Ocean Drilling Program (ODP) and Integrated Ocean Drilling Program (IODP). We analyzed the upper 85 to 100 m below seafloor (mbsf) from ODP Sites 1249 and 1252, and IODP Site U1325. ODP 1249 is at the summit of Hydrate Ridge in an area of active methane seepage and massive gas hydrate accumulations and ODP 1252 is in a nearby slope basin with little occurrence of hydrate. IODP Site U1325 is on the northern Cascadia Margin in a slope basin, with turbidite-hosted gas hydrate. We also include XRF data from the upper sections of ODP Site 1251, IODP U1327, and U1328.</p> <p>We measured X-ray fluorescence using an Avaatech core scanner at the IODP Gulf Coast Repository at Texas A&M University. We measured total carbon, total organic carbon (TOC), total nitrogen, and total sulfur using a Perkin Elmer 2400 Series CHNS/O Analyzer at the university of New Hampshire (ODP Site 1249 and 1252 only). A subset was analyzed for δ<sup>13</sup>C-TOC using a Costech ECS 4010 elemental analyzer interfaced with a Thermo Finnegan Delta Plus XP continuous flow isotope ratio mass spectrometer at Washington State University. Grain size was measured with a Malvern Mastersizer 2000 laser diffraction particle size analyzer and Hydro 2000G dispersal unit at the University of New Hampshire. Mass frequency-dependent magnetic susceptibility was measured using a Bartington MS2 Magnetic Susceptibility Meter and Bartington MS2B dual frequency sensor (Site U1325 only). Isothermal remanent magnetization and thermal demagnetization curves were measured using a HSM2 SQUID-based Spinner Magnetometer with an ASC Scientific IM-10-30 Impulse Magnetizer and ASC Scientific TD-48SC magnetically-shielded oven (Site U1325 only). Radiocarbon was measured on mixed planktic foraminifers at the Radiocarbon was measured at National Ocean Sciences Accelerator Mass Spectrometry (NOSAMS) facility at Woods Hole Oceanographic Institution (ODP Site 1252 and IODP Site U1325).. Radiocarbon ages were calibrated to calendar ages using CALIB 8.2 and the Marine20 calibration curve. For ODP Site 1252 we used a reservoir correction of 230 ± 50 years (Yaquina Bay, Oregon, USA) and for IODP Site U1325 we used a reservoir correction of 202 ± 50 years (Amphitrite Point, British Columbia, Canada). δ<sup>18</sup>O was measured on benthic foraminifer <em>Uvigerina peregrina</em> tests using a Finnegan MAT 252 isotope ratio mass spectrometer with Kiel III device at the Oregon State University Stable Isotope Laboratory (ODP 1252) and a Finnegan MAT 253 isotope ratio mass spectrometer with Kiel IV device at the University of Michigan Stable Isotope Laboratory (ODP Site 1249 and IODP Site U1325).</p>
3D Laser Scanning Data: Public Square in Murcia and Engineering Laboratory at the University of Alicante
<p>This dataset includes 3D terrestrial laser scans obtained using the Leica C10 ScanStation. The data covers two distinct scenarios:</p> <ol> <li> <p><strong>Public Square in Murcia Capital</strong>: This dataset includes two scan positions within a public square located in Murcia. Three HDTarget markers were placed, and their center or vertex coordinates are provided in the accompanying _vertices.txt file. The scans were conducted with the laser scanner leveled, but they are not registered.</p> </li> <li> <p><strong>Engineering Laboratory at the University of Alicante</strong>: This dataset consists of two scans of the Ground Engineering Laboratory at the University of Alicante. The scans were conducted with the same leveled laser scanner, and no targets were used. Between the two scans, some elements in the laboratory were slightly moved, which can be identified by comparing the point clouds.</p> </li> </ol>
LIBS-wallscanner dataset related to "Scanning laser-induced breakdown spectrometer for mine walls" thesis
<p>This is a LIBS dataset published alongside the thesis in related identifiers. For better description see the thesis publication.</p>
Appendix Data for Manuscript : Application of OSL surface exposure dating with the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy
<p>Appendix Data for Manuscript 'Application of OSL surface exposure dating with the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy'.</p>
Dataset for geometrical digital twins of the as-built microstructure of three-leaf stone masonry walls with laser scanning
<p>This repository contains the dataset from the geometrical digital twinning of the as-built microstructure of three-leaf stone masonry walls of 700mm x 700 mm x 400 mm (Height x Length x Width) with laser scanning. It includes raw and processed data and data analysis scripts. A Readme file explains the structure of the dataset and the contents of each folder. The dataset corresponds to the journal paper <strong><em>Geometrical digital twins of the as-built microstructure of three-leaf stone masonry walls with laser scanning</em></strong> published on Scientific data https://doi.org/10.1038/s41597-023-02417-3.</p> <p>Please, cite as:</p> <p>Saloustros, S., Settimi, A., Ascencio, A.C., Gamerro, J, Weinand, Y., Beyer, K. Geometrical digital twins of the as-built microstructure of three-leaf stone masonry walls with laser scanning. <em>Sci Data</em> <strong>10</strong>, 533 (2023). https://doi.org/10.1038/s41597-023-02417-3</p>
Terrestrial laser scanning data of urban trees in Milton Keynes, UK: individual trees and Treegraph outputs
<p>This dataset was used for the analysis of the following publication:</p> <p>Yang, W., Wilkes, P., Vicari, M.B., Hand, K., Calders, K. and Disney, M., 2024. Treegraph: tree architecture from terrestrial laser scanning point clouds. <em>Remote Sensing in Ecology and Conservation</em>.</p> <p><strong>Any use of this dataset should cite the paper above </strong>(Creative Commons Attribution NonCommercial License).</p> <p> </p> <p>================================================<br> Dataset<br>================================================</p> <p><strong>TLS_point_clouds:</strong></p> <p>- Data collection: Terrestrial laser scanning data acquired in leaf-off condition in April 2021.</p> <p>- Scanning instrument: We used a RIEGL VZ-400 with a wavelength of 1550 nm, 0.35 mrad beam divergence and 0.04˚ angular resolution.</p> <p>- Locations: The data were collected from three sites in Milton Keynes, UK: Avebury Blvd (Ave), Dansteed Way (Dan), and Overgate (Ove).</p> <p>- File information: Each file is an individual leaf-off tree point cloud in Polygon File Format (.ply), which can be viewed in software such as CloudCompare.</p> <p> </p> <p><strong>Treegraph_outputs:</strong></p> <p>- Description: Model outputs from <em>Treegraph</em> for individual trees.</p> <p>- File naming convention: [TreeID]-[downsample_voxel_length]-[tip_diameter_if_known].*</p> <ul> <li>*.centres.ply: Skeleton nodes of individual trees.</li> <li>*.mesh.ply: Cylinder model of individual trees.</li> <li>*.json: Geometrical and topological attributes at varying scales, from internode and branch to the whole tree.</li> <li>*.txt: Summary of input parameters, logs of intermediate steps, and a statistical overview of whole-tree structural attributes.</li> </ul>
Nackhälleskölden - Laser-scanned Bronze Shield
This is a 3D-scanned bronze shield that we borrowed from Länsmuseet Halland. This is a very unique item that we have been blessed to handle and 3D-scan. This shield (Nackhälleskölden) was found 1865 in a bog in Halland/Sweden. - http://mis.historiska.se/mis/sok/exhib.asp?id=43875 - https://sv.wikipedia.org/wiki/Fr%C3%B6slundask%C3%B6ldarna In order to scan this shield we used Handyscan 3D-scanner VIUscan. To process the shield and decimate the model we used Geomagic Studio. Feel free to download the file! By http://CreativeTools.se Source: Objaverse 1.0 / Sketchfab
Creed Monument, Greenwich - Laser Scan
Monument / grave of Sir James Creed MP at St Alfege Church, Greenwich <br> **Laser Scan / Point Cloud**<br> Leica BLK360 <br> Source: Objaverse 1.0 / Sketchfab
Soundscapes and airborne laser scanning identify vegetation density and its interaction with elevation as main driver of bird diversity and community composition
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