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24 results for “Laser Scanner”
LAUT - Terrestrial and Personal laser scanner data from Austrian forest Inventory plots
<p>In forest inventory, trees are usually measured by handheld instruments; among the most relevant are calipers, inclinometers, ultrasonic devices, and laser range finders. Traditional forest inventory is nowadays redesigned, since modern laser scanner technology became available. Laser scanner generate massive data in the form of 3D point clouds. Novel methodology is currently developed to provide estimates of the tree positions, stem diameters, and tree heights from these 3D point clouds. This dataset was made publicly accessible to test new software routines for the automatic measurement of forest trees using laser scanner data. Benchmark studies with performance tests of different algorithms are welcome. The dataset contains co-registered raw 3D point-cloud data collected on 20 forest inventory sample plots in Austria. The data was collected by two different laser scanning systems: (i) a mobile personal laser scanner (PLS) (ZEB Horizon, GeoSLAM Ltd., Nottingham, UK), and (ii) a static terrestrial laser scanner (TLS) (Focus3D X330, Faro Technologies Inc., Lake Mary, FL, USA). The data also contains digital terrain models (DTM), field measurements as reference data (“ground-truth”), and the output of recent software routines for the automatic tree detection and the automatic stem diameter measurement.</p>
iLAUT – iPad laser scanner data from Austrian forest Inventory plots
<p>The estimation of stand- and individual tree information is one of the major goals of forest inventory. Conventionally, field data in forest inventory are collected at tree level on sample plots by means of manual measurements (e.g., caliper, tape). In recent years, modern laser-supported sensors and automatic routines for feature extraction were increasingly used instead of the traditional forest inventory methods. In 2020, Apple (Apple Inc. Cupertino, California, USA) implemented a LiDAR (Light Detection and Ranging) sensor into the new 4th Generation of Apple iPad Pro. Consequently, LiDAR-generated 3D point clouds can nowadays be recorded with consumer-level devices for the first time. Novel methodology is able to provide estimates of the terrain height, tree positions, stem diameters, and tree heights from these 3D point clouds. This dataset was made publicly accessible to show recent iPad 3D point clouds of forest inventory sample plots and to test new software routines for the automatic measurement of trees. Benchmark studies with performance tests of different algorithms are welcome. The dataset contains co-registered raw 3D point-cloud data collected on 21 forest inventory sample plots in Austria. The data was collected by two different laser scanning systems: (i) the iPad pro (Apple Inc. Cupertino, California, USA), and (ii) a mobile personal laser scanner (PLS) (ZEB Horizon, GeoSLAM Ltd., Nottingham, UK). The data also contains application videos of the iPad, digital terrain models (DTM), field measurements as reference data (“ground-truth”), and the output of recent software routines for the automatic tree detection and the automatic stem diameter measurement.</p>
Lamminaho Wooden Estate: 3D laser scanner survey and post production results.
<p>The dataset collects detailed information about the architecture and the environment of the historic place of Lamminaho, in Vaala region, Finland. The topic is included in the list of the case studies chosen by post doctoral fellow Sara Porzilli, who is working under Marie S. Curie Fellowship at the University of Oulu, Finland (School of Architecture, Department of "History of Architecture and Restoration Studies"). Supervisor: Prof. Arch. Anna-Maija Ylimaula. The study was promoted also by the "National Board of Antiquities (NBA) - Museovirasto "based in Helsinki (Responsible: Arch. Helena Hirviniemi) operating under the Directorate of the Finnish Ministry of Education and Culture and "Senate Properties" (Responsible: Dr. Juha Keranen), partner and manager working under the Finnish government for the protection and protection of the Finnish heritage present on the territory of Italy and abroad. The research was dedicated to defining the methods for carrying out survey activities on historical wooden architecture, identifying the fundamental aspects of laser scanners methodologies and photogrammetric activities. The work has produced a detailed info-graphic atlas concerning all the buildings located in Lamminaho. The work had a theoretical approach, devoted on research and archival documentation. The results of the research are going to support all the practical activities of restoration and repair necessary in the process of musealization of the area.</p>
SKY-LAUT – Carriage-based laser scanner data from Austrian forest stands
<p>This dataset contains 3D point clouds, automatically calculated single tree parameters, reference data, and application videos of carriage-based laserscanning in cable yarding operations. Point clouds from 8 cable corridors and 4 scan varaints are provided in .las format in the folder point_clouds.zip. The individual files are labeled with numeric cable corridor IDs and scan variant IDs. According to standard conventions, a .las file contains a header block, variable-length records, and the point cloud data. The .las files can be read, visualized, and processed with common software programs for point cloud processing (e.g., CloudCompare), and they can also be handled with the free statistical software (e.g., R Foundation for Statistical Computing, Vienna, Austria). The reference and algorithm dataset is provided in a comma-separated values (CSV) file (algorithm_results_reference_data.csv ) and contains the manual and automatic measurements of the single-tree attributes. "stand_id" marks the stand (can be stand_1 or stand_2). "cable_corridor" can range from 1 to 8 and "scan_variant" from 1 to 4. "tree_id_ref" is a continuous id for the trees from the reference data collection. "x_ref", "y_ref", "dbh_ref", "h_ref" and "tree_species" are the coordinates, diameter at breast heigths, tree heights and tree species from the reference data collection. "x_cbls", "y_cbls", "dbh_ref" and "h_cbls" are the coordinates, diameter at breast heigth, tree height and tree species from carriage-based laser scanning point clouds and the automatic algorithm. "dist_to_skyline" is the orthogonal distance from the tree to the skyline. "tree_detection" indicates whether a tree was detected "correct", "non" oder "false" by the automatic algorithm.</p>
Terrestrial Laser Scanner observations of snow depth distribution at Col du Lautaret and Col du Lac Blanc mountain sites
<p>This dataset contains snow depth distribution observations obtained in two high mountain experimental sites, Col du Lac Blanc and Col du Lautaret, both located in French Alps. The snow depth distribution maps were generated using a Terrestrial Laser Scanner (TLS) for 10 acquisition dates. Observations obtained in Col du Lac Blanc were acquired in the 2014-15 snow season while Col du Lautaret observations were acquired in 2017-18 snow season. The snow depth maps have a grid cell size of 1x1m. The two study sites have extensions comprised between 17 and 31 ha with elevations ranging from 2000-2100 m a.s.l. (Col du Lautaret)and 2600-2800 m a.s.l. (Col du Lac Blanc)and show a patchy distribution of bare soil and alpine grass. The dataset allows a better understanding of snow related processes in mountain areas.</p>
Surveyed forest plots in Nagano and Gifu prefecture, Japan, using a terrestrial laser scanner
<p>The data was collected using a Leica RTC360 TLS and includes a total of 20 forest plots from different locations in the prefectures Nagano and Gifu, Japan. </p> <p>The data also contains a folder "Quercus_Serrata_Positions" including subfolders for each plot. Inside these folders are .txt files containing all positions of Quercus serrata trees inside the respective forest plot visible in the point cloud data.</p>
Terracotta warrior (Eora3D laser scanner)
This 10cm high figurine of a terracotta warrior was scanned using the Eora3D laser scanner at low resolution. 8 scans were taken using the low resolution mode (1 million point per scan) on the supplied turntable. The resulting scans did not align in the Eora3D app, resulting with the usual 'tornado' effect (aligning the turnable is very difficult). So each scan was exported and registered using CloudCompare. As you can see from this mesh, it is far from perfect, but better than my last attempt. Source: Objaverse 1.0 / Sketchfab
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>
Terrestrial laser scanner (TLS) and destructive measurements in short-rotation woody crops (SRWCs) in NE of Romania
<p>The data are obtained from hybrid poplar crops installed in NE Romania, managed in short rotation (SRWCs) between 5, 6, and 7 growing seasons. Planted every spring, outside the growing season, at a depth of 0.6 m in the ground with two clones: AF8 and Pannonia. Rods (2 m long cuttings) were used as planting material for a density of 1667 trees/ha (3 x 2 m). For the estimation of volume and biomass, scans and gravimetric measurements were performed on tree component parts (trunk/stem and branches). Scanning of the sample areas (3 x 10 trees for each variant) was carried out using the Z+F Imager 5010. The scanning period was outside the growing seasons. The destructive (gravimetric) method of estimating biomass involves weighing the trees (184 in total) by component parts: trunk and branches (10 g accuracy). The moisture content of the components was determined by drying the samples (wood discs and branches) at a temperature of 105 °C to a constant mass. The QSM Model in MatLab was used for tree volume reconstruction. Where d is the diameter (cm) - measured at the base and at 1 m height, h (m) is the total height - measured after harvesting by roulette and by QSM reconstruction (after TLS scan). B (kg) is the dry mass of the whole tree (tot = branches + stem) and stem, and V (litres/ dm3) is the tree volume (tot) for the whole tree and stem. Branch weight results by difference for both variables.</p>
Data from: Can terrestrial laser scanners (TLSs) and hemispherical photographs predict tropical dry forest succession with liana abundance?
Tropical dry forests (TDFs) are ecosystems with long drought periods, a mean temperature of 25 °C, a mean annual precipitation that ranges from 900 to 2000 mm, and that possess a high abundance of deciduous species (trees and lianas). What remains of the original extent of TDFs in the Americas remains highly fragmented and at different levels of ecological succession. It is estimated that one of the main fingerprints left by global environmental and climate change in tropical environments is an increase in liana coverage. Lianas are non-structural elements of the forest canopy that eventually kill their host trees. In this paper we evaluate the use of a terrestrial laser scanner (TLS) in combination with hemispherical photographs (HPs) to characterize changes in forest structure as a function of ecological succession and liana abundance. We deployed a TLS and HP system in 28 plots throughout secondary forests of different ages and with different levels of liana abundance. Using a canonical correlation analysis (CCA), we addressed how the VEGNET, a terrestrial laser scanner, and HPs could predict TDF structure. Likewise, using univariate analyses of correlations, we show how the liana abundance could affect the prediction of the forest structure. Our results suggest that TLSs and HPs can predict the differences in the forest structure at different successional stages but that these differences disappear as liana abundance increases. Therefore, in well known ecosystems such as the tropical dry forest of Costa Rica, these biases of prediction could be considered as structural effects of liana presence. This research contributes to the understanding of the potential effects of lianas in secondary dry forests and highlights the role of TLSs combined with HPs in monitoring structural changes in secondary TDFs.
Multiway Registration Capability Study in Increasing the Accuracy of Registration Results for Infrastructure and Mining Pits Terrestrial Laser Scanner (TLS) Data Point Cloud
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
Laser scanner raw data via fontebranda
<p>Laser scanner raw datas from via Fontebranda, Siena</p>
Data for: UK redwoods terrestrial laser scanner point clouds
<p class="MsoNormal">Giant redwoods (<em>Sequoiadendron giganteum) </em>are some of the UK's largest trees, despite only being introduced in the mid-19th century. Given recent interest in planting redwoods in the UK, partly due to their carbon sequestration potential and also their undoubted public appeal, an understanding of their viability is important. However, little or no research has been conducted to quantitatively estimate their carbon uptake in UK conditions. We used 3D terrestrial laser scanning (TLS) to make detailed structure measurements of individual <em>S. giganteum</em> trees at three sites, to estimate aboveground biomass (AGB) and annual biomass accumulation rates. We show that UK-grown <em>S. giganteum</em> can sequester carbon at a rate of 80 - 100 kg C year<sup>-1</sup>, varying with climate, management and age. This accumulation rate is 2.5 and 20 times faster than commonly-grown UK plantation tree species. We develop new UK-specific allometric models for <em>S. giganteum</em>which fit observed AGB with r<sup>2</sup> > 0.93 and bias < 2% and can be used to estimate <em>S. giganteum</em> AGB more generally. <em>S. giganteum</em> appears to represent a small but potentially important addition to the UK's carbon sequestration efforts and this work provides a baseline for estimating their longer term AGB and carbon sequestration capacity.</p>
Orthodontic Retention on the Maxillary Stability After SARME Using Laser Scanner
ClinicalTrials.gov study NCT01770782. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Can terrestrial laser scanners (TLSs) and hemispherical photographs predict tropical dry forest succession with liana abundance?
Open the record for dataset details and reuse information.
Data for: UK redwoods terrestrial laser scanner point clouds
Open the record for dataset details and reuse information.
Tottie, photogrammetry and partly laser scanner
Photogrammetry and laser scanning combined. At least for one room. My RC license states I can use 18 laserscans but that is a bluff as it converts every scan to six photos and count those individually. I therrefore only have the scans for one of the rooms. Can you see which one? The scans and the photos are aquired at different occations so there are some ghost furniture that were moved. The mesh as a whole is a lot better with the laserdata but some parts got worse. The chandelier reflekted the beams and created a pattern in the ceiling for example. Created in RealityCapture by Capturing Reality from 678 images in 00h:01m:48s. Leica RTC360 + Olympus OMD 10 MkII, zoomlens. Source: Objaverse 1.0 / Sketchfab
Evaluating the Effect of Laser Vision Surgery, Phakic Intraocular Lens Implantation, Cataract Surgery, and Pupil Dilation on the Iris Recognition Scanner Function of Smartphone
ClinicalTrials.gov study NCT02939001. IPD Sharing: NO. Countries: 1. Publications: 0.
SnowEx20 Boise State University Terrestrial Laser Scanner (TLS) Point Cloud V001
This data set contains terrestrial laser scanner (TLS) point cloud data collected as part of the 2020 SnowEx campaign in Grand Mesa, Colorado. Data were collected under both snow-off (September 2019) and snow-on (February 2020) conditions, at both open and forested locations. Multiple scans were conducted at each site and registered together using common targets. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), as well as intensity (i). These TLS data can be used to determine snow depth and explore the interactions between snow and vegetation.
SnowEx20 CRREL Terrestrial Laser Scanner (TLS) Point Cloud V001
This data set contains terrestrial LIDAR survey (TLS) point cloud data collected at Grand Mesa, Colorado as part of the 2020 SnowEx campaign. Data were collected in fall 2019 (September) and winter 2020 (January and February). Each data file contains X, Y, and Z coordinates (Easting, Northing, and Elevation), along with ancillary information, such as intensity (i) and color (R,G,B), where available.
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