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1

Hong. "3D Indoor Modeling Based on Terrestrial Laser Scanning." Journal of the Korean Society of Civil Engineers 35, no. 2 (2015): 525. http://dx.doi.org/10.12652/ksce.2015.35.2.0525.

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KOMATSUZAKI, Hiromiti, Mitiaki SADASUE, and Akira OMORI. "Terrestrial laser Scanning Survey." Journal of the Japan society of photogrammetry and remote sensing 52, no. 6 (2013): 301–3. http://dx.doi.org/10.4287/jsprs.52.301.

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3

Van Genderen, J. L. "Airborne and terrestrial laser scanning." International Journal of Digital Earth 4, no. 2 (March 2011): 183–84. http://dx.doi.org/10.1080/17538947.2011.553487.

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4

Luhmann, T., M. Chizhova, D. Gorkovchuk, D. Popovas, J. Gorkovchuk, and M. Hess. "DEVELOPMENT OF TERRESTRIAL LASER SCANNING SIMULATOR." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-2/W1-2022 (February 25, 2022): 329–34. http://dx.doi.org/10.5194/isprs-archives-xlvi-2-w1-2022-329-2022.

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Abstract. Within the project VRscan3D, funded by DAAD, a terrestrial laser scanner simulator has been developed as educational tool for learning and teaching laser scanning processes. The main goal of the VirScan3D project is to cover engineering digitisation and will be solved through the development of a virtual system that allows users to create realistic data in the absence of a real measuring device in a modelled real-life environment (digital twin). The implementation of the virtual laser scanner is realised within a game engine, which allows for fast and easy 3D visualisation and navigation. Real-life buildings and urban surroundings can be digitised, modelled and integrated into the simulator, thus creating a digital copy of a real-world environment. This article describes the technical realization of the simulator and its evaluation as well as usability testing results conducted by independent users from university courses.
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Gabriela, Kuczyńska, and Stawska Magdalena. "Modern applications of terrestrial laser scanning." Mining informational and analytical bulletin, no. 1 (2021): 160–69. http://dx.doi.org/10.25018/0236-1493-2021-1-0-160-169.

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6

Ge, X., and T. Wunderlich. "Target identification in terrestrial laser scanning." Survey Review 47, no. 341 (May 2, 2014): 129–40. http://dx.doi.org/10.1179/1752270614y.0000000097.

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7

Karagianni, Aikaterini. "Terrestrial Laser Scanning in Building Documentation." Civil Engineering and Architecture 5, no. 6 (December 2017): 215–21. http://dx.doi.org/10.13189/cea.2017.050603.

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8

Liang, Xinlian, Ville Kankare, Juha Hyyppä, Yunsheng Wang, Antero Kukko, Henrik Haggrén, Xiaowei Yu, et al. "Terrestrial laser scanning in forest inventories." ISPRS Journal of Photogrammetry and Remote Sensing 115 (May 2016): 63–77. http://dx.doi.org/10.1016/j.isprsjprs.2016.01.006.

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9

Richardson, Jeffrey, L. Moskal, and Jonathan Bakker. "Terrestrial Laser Scanning for Vegetation Sampling." Sensors 14, no. 11 (October 28, 2014): 20304–19. http://dx.doi.org/10.3390/s141120304.

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10

Damięcka-Suchocka, Marzena, and Jacek Katzer. "Terrestrial Laser Scanning of Lunar Soil Simulants." Materials 15, no. 24 (December 8, 2022): 8773. http://dx.doi.org/10.3390/ma15248773.

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In the near future, permanent human settlements on the Moon will become increasingly realistic. It is very likely that the Moon will serve as a transit point for deep space exploration (e.g., to Mars). The key to human presence on the Moon is the ability to erect the necessary structures and habitats using locally available materials, such as lunar soil. This study explores the feasibility of using terrestrial laser scanning technology as a measurement method for civil engineering applications on the Moon. Three lunar soil simulants representing highland regions (LHS-1, AGK-2010, CHENOBI) and three lunar soil simulants representing mare regions (LMS-1, JSC-1A, OPRL2N) were used in this study. Measurements were performed using three terrestrial laser scanners (Z+F IMAGER 5016, FARO Focus3D, and Leica ScanStation C10). The research programme focused on the radiometric analysis of datasets from the measurement of lunar soil simulants. The advantages and limitations of terrestrial laser scanning technology for possible lunar applications are discussed. Modifications of terrestrial laser scanners that are necessary to enable their use on the Moon are suggested.
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11

Kim, Taewan, Youngjoon Yoon, Byeongdo Lee, Namhyuk Ham, and Jae-Jun Kim. "Cost–Benefit Analysis of Scan-vs-BIM-Based Quality Management." Buildings 12, no. 12 (November 23, 2022): 2052. http://dx.doi.org/10.3390/buildings12122052.

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Terrestrial laser scanning (TLS) and building information modeling (BIM) play an important role as smart construction technologies introduced to increase productivity in the architecture, engineering, and construction (AEC) industry. However, these smart construction technologies have not been well introduced due to their high initial investment cost and poor performance reliability. Therefore, this study presents the results of a cost–benefit analysis to prove the investment value of terrestrial laser scanning and building information modeling. First, the reliability of this study data was increased through a case analysis of a real-world multi-project conducted by a single organization. Second, this study quantitatively proposed the economic value of terrestrial laser scanning and building information modeling by applying cost–benefit analysis (CBA). The effects of the application of terrestrial laser scanning and building information modeling on manpower input and time reduction were quantitatively analyzed through the cost–benefit analysis. The results showed that the cash value flows of terrestrial laser scanning and building information modeling could be considered to make value-for-money decisions for the adoption of terrestrial laser scanning and building information modeling in construction engineering organizations.
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12

Sanchiz-Viel, Nathan, Estelle Bretagne, El Mustapha Mouaddib, and Pascal Dassonvalle. "Radiometric correction of laser scanning intensity data applied for terrestrial laser scanning." ISPRS Journal of Photogrammetry and Remote Sensing 172 (February 2021): 1–16. http://dx.doi.org/10.1016/j.isprsjprs.2020.11.015.

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13

Hohenthal, Johanna, Petteri Alho, Juha Hyyppä, and Hannu Hyyppä. "Laser scanning applications in fluvial studies." Progress in Physical Geography: Earth and Environment 35, no. 6 (July 25, 2011): 782–809. http://dx.doi.org/10.1177/0309133311414605.

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During recent decades, the use of high-resolution light detection and ranging altimetry (LiDAR) data in fluvial studies has rapidly increased. Airborne laser scanning (ALS) can be used to extensively map riverine topography. Although airborne blue/green LiDAR can also be utilized for the mapping of river bathymetry, the accuracy levels achieved are not as good as those of terrain elevation measurements. Moreover, airborne bathymetric LiDAR is not yet suitable for mapping shallow water areas. More detailed topographical data may be obtained by fixed-position terrestrial laser scanning (TLS) or mobile terrestrial laser scanning (MLS). One of the newest applications of MLS approaches involves a boat/cart-based mobile mapping system (BoMMS/CartMMS). This set-up includes laser scanning and imaging from a boat moving along a river course and may be used to expand the spatial extent of terrestrial scanning. Detailed digital terrain models (DTMs) derived from LiDAR data can be used to improve the recognition of fluvial landforms, the geometric data of hydraulic modelling, and the estimation of flood inundation extents and fluvial processes.
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14

Jo, Young, and Seonghyuk Hong. "Three-Dimensional Digital Documentation of Cultural Heritage Site Based on the Convergence of Terrestrial Laser Scanning and Unmanned Aerial Vehicle Photogrammetry." ISPRS International Journal of Geo-Information 8, no. 2 (January 24, 2019): 53. http://dx.doi.org/10.3390/ijgi8020053.

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Three-dimensional digital technology is important in the maintenance and monitoring of cultural heritage sites. This study focuses on using a combination of terrestrial laser scanning and unmanned aerial vehicle (UAV) photogrammetry to establish a three-dimensional model and the associated digital documentation of the Magoksa Temple, Republic of Korea. Herein, terrestrial laser scanning and UAV photogrammetry was used to acquire the perpendicular geometry of the buildings and sites, where UAV photogrammetry yielded higher planar data acquisition rate in upper zones, such as the roof of a building, than terrestrial laser scanning. On comparing the two technologies’ accuracy based on their ground control points, laser scanning was observed to provide higher positional accuracy than photogrammetry. The overall discrepancy between the two technologies was found to be sufficient for the generation of convergent data. Thus, the terrestrial laser scanning and UAV photogrammetry data were aligned and merged post conversion into compatible extensions. A three-dimensional (3D) model, with planar and perpendicular geometries, based on the hybrid data-point cloud was developed. This study demonstrates the potential for using the integration of terrestrial laser scanning and UAV photogrammetry in 3D digital documentation and spatial analysis of cultural heritage sites.
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15

Olsoy, Peter J., Nancy F. Glenn, and Patrick E. Clark. "Estimating Sagebrush Biomass Using Terrestrial Laser Scanning." Rangeland Ecology & Management 67, no. 2 (March 2014): 224–28. http://dx.doi.org/10.2111/rem-d-12-00186.1.

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16

Soudarissanane, S., and R. Lindenbergh. "OPTIMIZING TERRESTRIAL LASER SCANNING MEASUREMENT SET-UP." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVIII-5/W12 (September 3, 2012): 127–32. http://dx.doi.org/10.5194/isprsarchives-xxxviii-5-w12-127-2011.

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17

Watt, P. J., and D. N. M. Donoghue. "Measuring forest structure with terrestrial laser scanning." International Journal of Remote Sensing 26, no. 7 (April 2005): 1437–46. http://dx.doi.org/10.1080/01431160512331337961.

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18

Mohammed, Habiba Ibrahim, Zulkepli Majid, and Linda Ngozi Izah. "Terrestrial laser scanning for tree parameters inventory." IOP Conference Series: Earth and Environmental Science 169 (July 31, 2018): 012096. http://dx.doi.org/10.1088/1755-1315/169/1/012096.

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19

Laefer, Debra F., Michael Fitzgerald, Eoghan M. Maloney, David Coyne, Donal Lennon, and Sean W. Morrish. "Lateral Image Degradation in Terrestrial Laser Scanning." Structural Engineering International 19, no. 2 (May 2009): 184–89. http://dx.doi.org/10.2749/101686609788220196.

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20

Weber, Jennifer, and Terry G. Powis. "Assessing Terrestrial Laser Scanning in Complex Environments." Advances in Archaeological Practice 2, no. 2 (May 2014): 123–37. http://dx.doi.org/10.7183/2326-3768.2.2.123.

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AbstractThe majority of terrestrial scanning projects in archaeology have focused on heritage documentation, preservation, and the three-dimensional (3D) reconstruction of prominent sites and objects. While these are very important archaeological foci, not many have used terrestrial scanning methods for prospection and feature analysis, similar to the way many have employed airborne LiDAR. While airborne LiDAR scanning is able to situate and analyze archaeological sites on an expansive scale, the ground-based method also captures and defines any landscape anomalies or depressions from cultural features that have remained invisible to the naked eye due to environmental restrictions. In an attempt to test this recording method, we set out to paint a non-invasive, 3D digitized picture of the ancient Maya site of Pacbitun, Belize, using terrestrial scanning to distinctly detail Pacbitun’s structures, plazas, causeways, and karst features. This paper details the process through which 3D terrestrial scanning was executed at Pacbitun and three associated peripheral caves during the 2012 and 2013 field seasons. We discuss the potential laser scanning has for visual analysis in archaeology and evaluate application difficulties encountered in the field, as well as current data interpretation issues.
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21

HAYAKAWA, Yuichi S., and Takashi OGUCHI. "Applications of Terrestrial Laser Scanning in Geomorphology." Journal of Geography (Chigaku Zasshi) 125, no. 3 (2016): 299–324. http://dx.doi.org/10.5026/jgeography.125.299.

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22

Olsen, Michael J., Falko Kuester, Barbara J. Chang, and Tara C. Hutchinson. "Terrestrial Laser Scanning-Based Structural Damage Assessment." Journal of Computing in Civil Engineering 24, no. 3 (May 2010): 264–72. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000028.

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23

Stovall, Atticus E. L., Jacob S. Diamond, Robert A. Slesak, Daniel L. McLaughlin, and Hank Shugart. "Quantifying wetland microtopography with terrestrial laser scanning." Remote Sensing of Environment 232 (October 2019): 111271. http://dx.doi.org/10.1016/j.rse.2019.111271.

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24

Abellán, Antonio, Thierry Oppikofer, Michel Jaboyedoff, Nicholas J. Rosser, Michael Lim, and Matthew J. Lato. "Terrestrial laser scanning of rock slope instabilities." Earth Surface Processes and Landforms 39, no. 1 (November 13, 2013): 80–97. http://dx.doi.org/10.1002/esp.3493.

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25

Rosell-Polo, Joan R., Eduard Gregorio, and Jordi Llorens. "Special Issue on “Terrestrial Laser Scanning”: Editors’ Notes." Sensors 19, no. 20 (October 21, 2019): 4569. http://dx.doi.org/10.3390/s19204569.

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In this editorial, we provide an overview of the content of the special issue on “Terrestrial Laser Scanning”. The aim of this Special Issue is to bring together innovative developments and applications of terrestrial laser scanning (TLS), understood in a broad sense. Thus, although most contributions mainly involve the use of laser-based systems, other alternative technologies that also allow for obtaining 3D point clouds for the measurement and the 3D characterization of terrestrial targets, such as photogrammetry, are also considered. The 15 published contributions are mainly focused on the applications of TLS to the following three topics: TLS performance and point cloud processing, applications to civil engineering, and applications to plant characterization.
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Tkáč, Matúš, and Peter Mésároš. "TERRESTRIAL LASER SCANNING – POINT CLOUD IN BUILDING CONSTRUCTION." Czech Journal of Civil Engineering 2, no. 2 (December 31, 2016): 156–61. http://dx.doi.org/10.51704/cjce.2016.vol2.iss2.pp156-161.

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3D laser scanner refers to terrestrial (stationary), mobile (vehicle-mounted), or aerial (aircraftmounted) scanning devices. Terrestrial Laser Scanning (TLS) is increasingly used in the Architectural, Engineering, Construction and Facilities Management industry (AEC&FM) due to the significant performance improvements that it can support. TLS is a modern technology that is revolutionizing surveying works. One of the key advantages of laser scanning is the ability to quickly obtain large amounts of data in a short time. The result of laser scanning is a point cloud. Point cloud is essentially a three-dimensional (3D) imaging system which is used for the digital representation of the existing respectively of the real state of building objects. Point cloud has in building construction a very wide application. The aim of this article is explain what is TLS, what is a point cloud and describe how to use him in different areas of building construction.
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ZAĞRA, Hatice Çiğdem, and Sibel ÖZDEN. "THE USING OF TERRESTRIAL LASER (POINT CLOUD) SCANNING TECHNOLOGIES ON URBAN SCALE: EXAMPLE OF THE HISTORICAL URBAN TEXTURE OF LAPSEKİ." INTERNATIONAL REFEREED JOURNAL OF DESIGN AND ARCHITECTURE, no. 23 (2021): 0. http://dx.doi.org/10.17365/tmd.2021.turkey.23.03.

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Aim: This study aims to comparatively evaluate the use potential of orthophoto images obtained by terrestrial laser scanning technologies on an urban scale through the "Old Lapseki Finds Life Project" prepared using terrestrial laser scanning technologies and the "Enez Historical City Square Project" prepared using traditional methods. Method: In the study, street improvement projects of 29.210 m2 Lapseki and 29.214 m2 Enez city designed on an urban scale were evaluated and compared with descriptive statistics based on different parameters. Results: In the study, it has been determined that terrestrial laser (point cloud) technologies are 99,9% accurate when compared to traditional methods, save time by 83,08% and reduce workforce by 80%. In addition, it has been determined that terrestrial laser scanning technologies accelerate project processes compared to traditional methods. Conclusion: In this study, the use of laser scanning technologies, which are basically reverse engineering applications, in architectural restoration projects, determination of the current situation and damage, architectural documentation of structures and preparation of three-dimensional models, in terms of efficiency in survey studies are evaluated. It has been observed that orthophoto images obtained by terrestrial laser scanning technologies in architectural relief-restoration-restitution projects have potentials' worth using in different stages of the project.
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Feng, Xiao Gang, Meng Li, and Jing Xiu Liu. "Study on Application of Terrestrial 3D Laser Scanning Technology in the Calculation of the Fine Earthwork." Applied Mechanics and Materials 580-583 (July 2014): 2833–37. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.2833.

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Supported by terrestrial 3D laser scanning technology, by using the GPS RTK technology as the verification. Explored the application of terrestrial 3D laser scanning technology in the calculation of fine earthwork, including the whole process from program design, pre-organization, field measurements applied to the calculation and submit of indoor operation results. In addition, Lanhaiwan project in xi’an of shannxi province was taken as a case to introduce detailed processes of fine earthwork calculation, The results show that the terrestrial 3D laser scanning technology can be well used for accurate measurement of the earthwork.
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Jo, Y. H., and J. Y. Kim. "THREE-DIMENSIONAL DIGITAL DOCUMENTATION OF HERITAGE SITES USING TERRESTRIAL LASER SCANNING AND UNMANNED AERIAL VEHICLE PHOTOGRAMMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W5 (August 18, 2017): 395–98. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w5-395-2017.

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Three-dimensional digital documentation is an important technique for the maintenance and monitoring of cultural heritage sites. This study focuses on the three-dimensional digital documentation of the Magoksa Temple, Republic of Korea, using a combination of terrestrial laser scanning and unmanned aerial vehicle (UAV) photogrammetry. Terrestrial laser scanning mostly acquired the vertical geometry of the buildings. In addition, the digital orthoimage produced by UAV photogrammetry had higher horizontal data acquisition rate than that produced by terrestrial laser scanning. Thus, the scanning and UAV photogrammetry were merged by matching 20 corresponding points and an absolute coordinate system was established using seven ground control points. The final, complete threedimensional shape had perfect horizontal and vertical geometries. This study demonstrates the potential of integrating terrestrial laser scanning and UAV photogrammetry for three-dimensional digital documentation. This new technique is expected to contribute to the three-dimensional digital documentation and spatial analysis of cultural heritage sites.
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30

Lato, Matthew J., D. Jean Hutchinson, Dave Gauthier, Thomas Edwards, and Matthew Ondercin. "Comparison of airborne laser scanning, terrestrial laser scanning, and terrestrial photogrammetry for mapping differential slope change in mountainous terrain." Canadian Geotechnical Journal 52, no. 2 (February 2015): 129–40. http://dx.doi.org/10.1139/cgj-2014-0051.

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Traditional mapping and monitoring of active slope processes in mountainous terrain is challenging, given often difficult site accessibility, obstructed visibility, and high complexity of the terrain. For example, the rockfall hazard evaluation system employed by Canadian railways relies partly on visibility of the rockfall source zone from track level, which is often impossible for large or complex slopes, in the mountains and elsewhere. Recent advancements in remote sensing, data collection, and analysis algorithms have helped resolve some of these issues by allowing the slope processes to be mapped, and thereby understood, with a greater degree of accuracy and confidence than was previously possible. For example, a better understanding of the rate of movement of material around a natural rock slope affecting a transportation corridor would certainly improve any assessment of the hazards caused by those movements. Various remote sensing technologies have the capability to be used to assess these processes; however, the optimal conditions under which the technology should be deployed are not clearly defined. Between December 2012 and December 2013 the efficacy of three remote sensing technologies (terrestrial and aerial LiDAR (light detection and ranging) and terrestrial photogrammetry) were compared for their ability to detect natural and anthropogenic changes at a location along the CN railway, in British Columbia, Canada. The results demonstrate a high degree of interoperability between the different technologies, the ability to map topographical change with all three technologies, and the limitations and (or) weaknesses of each technology with respect to mapping change. The project location and site accessibility represent a real world situation with nonideal facets, which challenge the capabilities of these state-of-the-art technologies. These results will aid decision-making with respect to implementation of remote sensing technologies to monitor changes to rock slopes adjacent to transportation corridors, which will lead to better understanding and assessment of hazards.
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Danson, F. Mark, Mathias I. Disney, Rachel Gaulton, Crystal Schaaf, and Alan Strahler. "The terrestrial laser scanning revolution in forest ecology." Interface Focus 8, no. 2 (February 16, 2018): 20180001. http://dx.doi.org/10.1098/rsfs.2018.0001.

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New laser scanning technologies are set to revolutionize the way in which we measure and understand changes in ecosystem structure and function. Forest ecosystems present a particular challenge because of their scale, complexity and structural dynamics. Traditional forestry techniques rely on manual measurement of easy-to-measure characteristics such as tree girth and height, along with time-consuming, logistically difficult and error-prone destructive sampling. Much more detailed and accurate three-dimensional measurements of forest structure and composition are key to reducing errors in biomass estimates and carbon dynamics and to better understanding the role of forests in global ecosystem and climate change processes. Terrestrial laser scanners are now starting to be deployed in forest ecology research and, at the same time, new terrestrial laser scanning (TLS) technologies are being developed to enhance and extend the range of measurements that can be made. These new TLS measurements provide a tantalizing glimpse of a completely new way to measure and understand forest structure. It is therefore a good time to take stock, assess the state of the art and identify the immediate challenges for continued development of TLS in forest ecology.
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Majid, Z., M. F. M. Ariff, K. M. Idris, A. R. Yusoff, K. M. Idris, A. Aspuri, M. A. Abbas, K. Zainuddin, A. R. A. Ghani, and A. A. Bin Saeman. "THREE-DIMENSIONAL MAPPING OF AN ANCIENT CAVE PAINTINGS USING CLOSE-RANGE PHOTOGRAMMETRY AND TERRESTRIAL LASER SCANNING TECHNOLOGIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W3 (February 23, 2017): 453–57. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w3-453-2017.

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The paper describes the used of close-range photogrammetry and terrestrial laser scanning technologies as an innovative technology for acquiring the three-dimensional data of an ancient cave paintings. The close-range photogrammetry technology used in the research was divided in two categories which are the UAV-based close-range photogrammetry and the terrestrialbased close-range photogrammetry. The UAV-based technology involved with the used of calibrated Phantom 4 System while the terrestrial-based technology involved with the calibrated Sony F828 digital camera and pPhotoModeler software. Both stereo and convergent image acquisition techniques were used to acquire the images of the paintings. The ancient cave paintings were also recorded using terrestrial laser scanning technology. In the research, the FARO Focus 3D terrestrial laser scanner was used to capture the three-dimensional point clouds and images of the paintings. The finding shows that both close-range photogrammetry and laser scanning technologies provide excellent solutions to map and to record the ancient paintings. As compared to the conventional method, both close-range photogrammetry and terrestrial laser scanning technology provide a noncontact solution for data acquisition and the data was recorded in digital format for better protection and security.
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Ebolese, D., G. Dardanelli, M. Lo Brutto, and R. Sciortino. "3D SURVEY IN COMPLEX ARCHAEOLOGICAL ENVIRONMENTS: AN APPROACH BY TERRESTRIAL LASER SCANNING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 325–30. http://dx.doi.org/10.5194/isprs-archives-xlii-2-325-2018.

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The survey of archaeological sites by appropriate geomatics technologies is an important research topic. In particular, the 3D survey by terrestrial laser scanning has become a common practice for 3D archaeological data collection. Even if terrestrial laser scanning survey is quite well established, due to the complexity of the most archaeological contexts, many issues can arise and make the survey more difficult.<br> The aim of this work is to describe the methodology chosen for a terrestrial laser scanning survey in a complex archaeological environment according to the issues related to the particular structure of the site. The developed approach was used for the terrestrial laser scanning survey and documentation of a part of the archaeological site of Elaiussa Sebaste in Turkey. The proposed technical solutions have allowed providing an accurate and detailed 3D dataset of the study area. In addition, further products useful for archaeological analysis were also obtained from the 3D dataset of the study area.
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Aziz, M. A., K. M. Idris, Z. Majid, M. F. M. Ariff, A. R. Yusoff, L. C. Luh, M. A. Abbas, and A. K. Chong. "A STUDY ABOUT TERRESTRIAL LASER SCANNING FOR RECONSTRUCTION OF PRECAST CONCRETE TO SUPPORT QLASSIC ASSESSMENT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W1 (September 29, 2016): 135–40. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w1-135-2016.

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Nowadays, terrestrial laser scanning shows the potential to improve construction productivity by measuring the objects changes using real-time applications. This paper presents the process of implementation of an efficient framework for precast concrete using terrestrial laser scanning that enables contractors to acquire accurate data and support Quality Assessment System in Construction (QLASSIC). Leica Scanstation C10, black/white target, Autodesk Revit and Cyclone software were used in this study. The results were compared with the dimensional of based model precast concrete given by the company as a reference with the AutoDesk Revit model from the terrestrial laser scanning data and conventional method (measuring tape). To support QLASSIC, the tolerance dimensions of cast in-situ &amp; precast elements is +10mm / -5mm. The results showed that the root mean square error for a Revit model is 2.972mm while using measuring tape is 13.687mm. The accuracy showed that terrestrial laser scanning has an advantage in construction jobs to support QLASSIC.
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Zaczek-Peplinska, Janina, and Maria Kowalska. "Terrestrial laser scanning in monitoring of anthropogenic objects." Geodesy and Cartography 66, no. 2 (December 20, 2017): 347–64. http://dx.doi.org/10.1515/geocart-2017-0011.

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Abstract The registered xyz coordinates in the form of a point cloud captured by terrestrial laser scanner and the intensity values (I) assigned to them make it possible to perform geometric and spectral analyses. Comparison of point clouds registered in different time periods requires conversion of the data to a common coordinate system and proper data selection is necessary. Factors like point distribution dependant on the distance between the scanner and the surveyed surface, angle of incidence, tasked scan’s density and intensity value have to be taken into consideration. A prerequisite for running a correct analysis of the obtained point clouds registered during periodic measurements using a laser scanner is the ability to determine the quality and accuracy of the analysed data. The article presents a concept of spectral data adjustment based on geometric analysis of a surface as well as examples of geometric analyses integrating geometric and physical data in one cloud of points: cloud point coordinates, recorded intensity values, and thermal images of an object. The experiments described here show multiple possibilities of usage of terrestrial laser scanning data and display the necessity of using multi-aspect and multi-source analyses in anthropogenic object monitoring. The article presents examples of multisource data analyses with regard to Intensity value correction due to the beam’s incidence angle. The measurements were performed using a Leica Nova MS50 scanning total station, Z+F Imager 5010 scanner and the integrated Z+F T-Cam thermal camera.
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Mill, Tarvo, Artu Ellmann, Martti Kiisa, Juhan Idnurm, Siim Idnurm, Milan Horemuz, and Andrus Aavik. "Geodetic monitoring of bridge deformations occurring during static load testing." BALTIC JOURNAL OF ROAD AND BRIDGE ENGINEERING 10, no. 1 (March 10, 2015): 17–27. http://dx.doi.org/10.3846/bjrbe.2015.03.

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Terrestrial laser scanning technology has developed rapidly in recent years and has been used in various applications but mainly in the surveying of different buildings and historical monuments. The use for terrestrial laser scanning data for deformation monitoring has earlier been tested although conventional surveying technologies are still more preferred. Since terrestrial laser scanners are capable of acquiring a large amount of highly detailed geometrical data from a surface it is of interest to study the metrological advantages of the terrestrial laser scanning technology for deformation monitoring of structures. The main intention of this study is to test the applicability of terrestrial laser scanning technology for determining range and spatial distribution of deformations during bridge load tests. The study presents results of deformation monitoring proceeded during a unique bridge load test. A special monitoring methodology was developed and applied at a static load test of a reinforced concrete cantilever bridge built in 1953. Static loads with the max force of up to 1961 kN (200 t) were applied onto an area of 12 m² in the central part of one of the main beams; the collapse of the bridge was expected due to such an extreme load. Although the study identified occurrence of many cracks in the main beams and significant vertical deformations, both deflection (–4.2 cm) and rising (+2.5 cm), the bridge did not collapse. The terrestrial laser scanning monitoring results were verified by high-precision levelling. The study results confirmed that the TLS accuracy can reach ±2.8 mm at 95% confidence level.
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37

Nolan, J., R. Eckels, M. Evers, R. Singh, and M. J. Olsen. "MULTI-PASS APPROACH FOR MOBILE TERRESTRIAL LASER SCANNING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W5 (August 19, 2015): 105–12. http://dx.doi.org/10.5194/isprsannals-ii-3-w5-105-2015.

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Mobile Terrestrial Laser Scanning (MTLS) has been utilised for an increasing number of corridor surveys. Current MTLS surveys require that many targets be placed along the corridor to monitor the MTLS trajectory’s accuracy. These targets enable surveyors to directly evaluate the magnitude of GNSS errors at regular intervals and can also be used to adjust the trajectory to the survey control. However, this “Multi-Target” approach (MTA) is an onerous task that can significantly reduce efficiency. It also is inconvenient to the travelling public, as lanes are often blocked and traffic slowed to permit surveyors to work safely along the road corridor. This paper introduces a “Multi-Pass” approach (MPA), which minimises the number of targets required for monitoring the GNSS-controlled trajectory while still maintaining strict engineering accuracies. MPA uses the power of multiple, independent MTLS passes with different GNSS constellations to generate a “Control Polyline” from the point cloud for the corridor. The Control Polyline can be considered as a statistically valid survey measurement and be incorporated in a network adjustment to strengthen a control network by identifying outliers. Results from a test survey at the MTLS course maintained by the Oregon Department of Transportation illustrate the effectiveness of this approach.
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38

Miura, N., and Y. Asano. "Green-wavelength terrestrial laser scanning of mountain channel." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-5/W2 (October 16, 2013): 187–92. http://dx.doi.org/10.5194/isprsannals-ii-5-w2-187-2013.

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HAO, W., Y. WANG, X. NING, M. ZHAO, J. ZHANG, Z. SHI, and X. ZHANG. "Automatic Building Extraction from Terrestrial Laser Scanning Data." Advances in Electrical and Computer Engineering 13, no. 3 (2013): 11–16. http://dx.doi.org/10.4316/aece.2013.03002.

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Xinlian Liang, Ville Kankare, Xiaowei Yu, Juha Hyyppa, and Markus Holopainen. "Automated Stem Curve Measurement Using Terrestrial Laser Scanning." IEEE Transactions on Geoscience and Remote Sensing 52, no. 3 (March 2014): 1739–48. http://dx.doi.org/10.1109/tgrs.2013.2253783.

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41

Hakala, Teemu, Juha Suomalainen, Sanna Kaasalainen, and Yuwei Chen. "Full waveform hyperspectral LiDAR for terrestrial laser scanning." Optics Express 20, no. 7 (March 13, 2012): 7119. http://dx.doi.org/10.1364/oe.20.007119.

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42

Riczu, Péter, Attila Nagy, Éva Lehoczky, and János Tamás. "Precision Weed Detection using Terrestrial Laser Scanning Techniques." Communications in Soil Science and Plant Analysis 46, sup1 (December 8, 2014): 309–16. http://dx.doi.org/10.1080/00103624.2014.989053.

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43

Zaczek-Peplinska, Janina, and Maria Kowalska. "TERRESTRIAL LASER SCANNING IN MONITORING OF HYDROTECHNICAL OBJECTS." Journal of Ecological Engineering 17, no. 4 (2016): 120–28. http://dx.doi.org/10.12911/22998993/63887.

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Wang, Chi-Kuei, Fu-Chun Wu, Guo-Hao Huang, and Ching-Yi Lee. "Mesoscale Terrestrial Laser Scanning of Fluvial Gravel Surfaces." IEEE Geoscience and Remote Sensing Letters 8, no. 6 (November 2011): 1075–79. http://dx.doi.org/10.1109/lgrs.2011.2156758.

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45

Jocea, Andreea Florina, E. G. Crăciun, and A. Anton. "Approximation Of Scours Using Terrestrial 3D Laser Scanning." Journal of Applied Engineering Sciences 5, no. 1 (May 1, 2015): 31–36. http://dx.doi.org/10.1515/jaes-2015-0004.

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Abstract In designing artwork as bridges, hydraulic calculations have a very important role due to the fact that they are behind their sizing. Bridge designer must therefore possess knowledge of hydrology, hydraulics of bridges and river banks regularization. A problem that arises during the design stage of bridges is the scour phenomenon surrounding bridge pier. Over time, there have been conducted a number of studies which led to the provision of a plurality of mathematical models that are intended scour prediction. In the present article we will present an experimental study to determine the bed profile and measurement of scours products around a pier bridge using 3D terrestrial laser scanner.
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Danson, F. Mark, David Hetherington, Felix Morsdorf, Benjamin Koetz, and Britta Allgower. "Forest Canopy Gap Fraction From Terrestrial Laser Scanning." IEEE Geoscience and Remote Sensing Letters 4, no. 1 (January 2007): 157–60. http://dx.doi.org/10.1109/lgrs.2006.887064.

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González-Jorge, Higinio, Pablo Rodríguez-Gonzálvez, Yueqian Shen, Susana Lagüela, Lucía Díaz-Vilariño, Roderik Lindenbergh, Diego González-Aguilera, and Pedro Arias. "Metrological intercomparison of six terrestrial laser scanning systems." IET Science, Measurement & Technology 12, no. 2 (March 1, 2018): 218–22. http://dx.doi.org/10.1049/iet-smt.2017.0209.

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48

Kankare, Ville, Markus Holopainen, Mikko Vastaranta, Eetu Puttonen, Xiaowei Yu, Juha Hyyppä, Matti Vaaja, Hannu Hyyppä, and Petteri Alho. "Individual tree biomass estimation using terrestrial laser scanning." ISPRS Journal of Photogrammetry and Remote Sensing 75 (January 2013): 64–75. http://dx.doi.org/10.1016/j.isprsjprs.2012.10.003.

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Jóźków, Grzegorz. "Terrestrial Laser Scanning Data Compression Using JPEG-2000." PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science 85, no. 5 (September 26, 2017): 293–305. http://dx.doi.org/10.1007/s41064-017-0027-y.

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Newnham, Glenn J., John D. Armston, Kim Calders, Mathias I. Disney, Jenny L. Lovell, Crystal B. Schaaf, Alan H. Strahler, and F. Mark Danson. "Terrestrial Laser Scanning for Plot-Scale Forest Measurement." Current Forestry Reports 1, no. 4 (October 27, 2015): 239–51. http://dx.doi.org/10.1007/s40725-015-0025-5.

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