IDL-Based Program Development of Terrestrial Laser Scanning Data Processing, Modeling and Clustering

2012 ◽  
Author(s):  
Pei Wang ◽  
Xiaohui Gao
Keyword(s):  
Data Processing ◽  
Program Development ◽  
Laser Scanning ◽  
Terrestrial Laser Scanning

scholarly journals Application of terrestrial laser scanning in forest inventory – an overview of selected issues

2020 ◽  
Vol 81 (4) ◽  
pp. 175-194
Author(s):  
Grzegorz Krok ◽  
Bartłomiej Kraszewski ◽  
Krzysztof Stereńczak
Keyword(s):  
Remote Sensing ◽  
Data Processing ◽  
Forest Inventory ◽  
Laser Scanning ◽  
Sustainable Forest Management ◽  
Forest Policy ◽  
Terrestrial Laser Scanning ◽  
Remote Sensing Data ◽  
Temperate Climate ◽  
Accurate Information

Abstract Precise determination of forest resources is one of the most important tasks in conducting sustainable forest management. Accurate information about the forest’s resources allows for a better planning of current and future management as well as conservation activities. Such precise information is needed by both, individual forest managers and for developing the national forest policy. In recent years, interest in the use of remote sensing in forest inventory has significantly increased. Remote sensing allows for non-invasive measurements and the automation of data processing. The most accurate source of remote sensing data at the level of the sample plot is terrestrial laser scanning (TLS). Its use in forest inventory has been studied for about two decades. This paper aims to introduce studies on state of the art TLS technology as well as provide an overview of research conducted in stands within the temperate climate zone. This article furthermore discusses issues such as TLS data acquisition, data processing and presents results for the estimation of tree biometric features.

scholarly journals Determination of Terrain Profile from TLS Data by Applying Msplit Estimation

2020 ◽  
Vol 13 (1) ◽  
pp. 31
Author(s):  
Patrycja Wyszkowska ◽  
Robert Duchnowski ◽  
Andrzej Dumalski
Keyword(s):  
Data Processing ◽  
Least Squares ◽  
Laser Scanning ◽  
Terrestrial Laser Scanning ◽  
Vertical Displacement ◽  
Least Squares Estimation ◽  
Displacement Analysis ◽  
Empirical Tests ◽  
The Absolute

This paper presents an application of an Msplit estimation in the determination of terrain profiles from terrestrial laser scanning (TLS) data. We consider the squared Msplit estimation as well as the absolute Msplit estimation. Both variants have never been used to determine terrain profiles from TLS data (the absolute Msplit estimation has never been applied in any TLS data processing). The profiles are computed by applying polynomials of a different degree, determining which coefficients are estimated using the method in question. For comparison purposes, the profiles are also determined by applying a conventional least squares estimation. The analyses are based on simulated as well as real TLS data. The actual objects have been chosen to contain terrain details (or obstacles), which provide some measurements which are not referred to as terrain surface; here, they are regarded as outliers. The empirical tests prove that the proposed approach is efficient and can provide good terrain profiles even if there are outliers in an observation set. The best results are obtained when the absolute Msplit estimation is applied. One can suggest that this method can be used in a vertical displacement analysis in mining damages or ground disasters.

scholarly journals Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 265
Author(s):  
Chao Wu ◽  
Yongbo Yuan ◽  
Yang Tang ◽  
Boquan Tian
Keyword(s):  
Data Processing ◽  
Laser Scanning ◽  
Large Scale ◽  
Terrestrial Laser Scanning ◽  
Current Status ◽  
Future Research ◽  
Scientometric Analysis ◽  
3D Model Reconstruction ◽  
Future Research Directions ◽  
Effective Use

As a revolutionary technology, terrestrial laser scanning (TLS) is attracting increasing interest in the fields of architecture, engineering and construction (AEC), with outstanding advantages, such as highly automated, non-contact operation and efficient large-scale sampling capability. TLS has extended a new approach to capturing extremely comprehensive data of the construction environment, providing detailed information for further analysis. This paper presents a systematic review based on scientometric and qualitative analysis to summarize the progress and the current status of the topic and to point out promising research efforts. To begin with, a brief understanding of TLS is provided. Following the selection of relevant papers through a literature search, a scientometric analysis of papers is carried out. Then, major applications are categorized and presented, including (1) 3D model reconstruction, (2) object recognition, (3) deformation measurement, (4) quality assessment, and (5) progress tracking. For widespread adoption and effective use of TLS, essential problems impacting working effects in application are summarized as follows: workflow, data quality, scan planning, and data processing. Finally, future research directions are suggested, including: (1) cost control of hardware and software, (2) improvement of data processing capability, (3) automatic scan planning, (4) integration of digital technologies, (5) adoption of artificial intelligence.

scholarly journals Through cave on the Zamna River in Eastern Serbia: New morphogenetic interpretations

2018 ◽  
Vol 98 (2) ◽  
pp. 29-44
Author(s):  
Aleksandar Petrovic ◽  
Jelena Calic ◽  
Marko Pantic
Keyword(s):  
High Resolution ◽  
Data Processing ◽  
Surface Topography ◽  
Laser Scanning ◽  
Terrestrial Laser Scanning ◽  
Roof Collapse ◽  
Dry Valley ◽  
The Subject ◽  
Insight Into

The article deals with the morphogenesis of the through cave Pecina na Reci Zamni (meaning in Serbian: Cave on the Zamna River; in further text: the Zamna Cave). The Zamna Cave was the subject of several geomorphological studies, mostly aimed at explaining the cave genesis through the evolutionary concept from through caves to natural bridges. In order to get better insight into the morphogenesis of this cave, modern geomorphometrical methods were applied. The cave and the surface topography above it were scanned in high resolution using the instrument Leica Nova MS50, applying the method of terrestrial laser scanning (TLS). Data processing produced the model for the analysis of the relation between surface and underground forms of karst relief. The results point to the conclusion that the Zamna Cave is an example showing that in the process of natural bridges formation by cave roof collapse, it is not necessary that there is a dry valley above the cave, as previously thought.

scholarly journals Melite Civitas Romana in 3D: Virtualization Project of the Archaeological Park and Museum of the Domus Romana of Rabat, Malta

2021 ◽  
Vol 7 (1) ◽  
pp. 51-83
Author(s):  
Davide Tanasi ◽  
Stephan Hassam ◽  
Kaitlyn Kingsland ◽  
Paolo Trapani ◽  
Matthew King ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Structured Light ◽  
Terrestrial Laser Scanning ◽  
Archaeological Site ◽  
South Florida ◽  
Virtual Museum ◽  
Current State ◽  
Structured Light Scanning ◽  
The University ◽  
Archaeological Excavations

Abstract The archaeological site of the Domus Romana in Rabat, Malta was excavated almost 100 years ago yielding artefacts from the various phases of the site. The Melite Civitas Romana project was designed to investigate the domus, which may have been the home of a Roman Senator, and its many phases of use. Pending planned archaeological excavations designed to investigate the various phases of the site, a team from the Institute for Digital Exploration from the University of South Florida carried out a digitization campaign in the summer of 2019 using terrestrial laser scanning and aerial digital photogrammetry to document the current state of the site to provide a baseline of documentation and plan the coming excavations. In parallel, structured light scanning and photogrammetry were used to digitize 128 artefacts in the museum of the Domus Romana to aid in off-site research and create a virtual museum platform for global dissemination.

scholarly journals Terrestrial Laser Scanning for Vegetation Analyses with a Special Focus on Savannas

2021 ◽  
Vol 13 (3) ◽  
pp. 507
Author(s):  
Tasiyiwa Priscilla Muumbe ◽  
Jussi Baade ◽  
Jenia Singh ◽  
Christiane Schmullius ◽  
Christian Thau
Keyword(s):  
Remote Sensing ◽  
Vegetation Structure ◽  
Laser Scanning ◽  
Spatial Scales ◽  
Terrestrial Laser Scanning ◽  
Point Clouds ◽  
Parameter Extraction ◽  
Airborne Lidar ◽  
Special Focus ◽  
Vegetation Parameter

Savannas are heterogeneous ecosystems, composed of varied spatial combinations and proportions of woody and herbaceous vegetation. Most field-based inventory and remote sensing methods fail to account for the lower stratum vegetation (i.e., shrubs and grasses), and are thus underrepresenting the carbon storage potential of savanna ecosystems. For detailed analyses at the local scale, Terrestrial Laser Scanning (TLS) has proven to be a promising remote sensing technology over the past decade. Accordingly, several review articles already exist on the use of TLS for characterizing 3D vegetation structure. However, a gap exists on the spatial concentrations of TLS studies according to biome for accurate vegetation structure estimation. A comprehensive review was conducted through a meta-analysis of 113 relevant research articles using 18 attributes. The review covered a range of aspects, including the global distribution of TLS studies, parameters retrieved from TLS point clouds and retrieval methods. The review also examined the relationship between the TLS retrieval method and the overall accuracy in parameter extraction. To date, TLS has mainly been used to characterize vegetation in temperate, boreal/taiga and tropical forests, with only little emphasis on savannas. TLS studies in the savanna focused on the extraction of very few vegetation parameters (e.g., DBH and height) and did not consider the shrub contribution to the overall Above Ground Biomass (AGB). Future work should therefore focus on developing new and adjusting existing algorithms for vegetation parameter extraction in the savanna biome, improving predictive AGB models through 3D reconstructions of savanna trees and shrubs as well as quantifying AGB change through the application of multi-temporal TLS. The integration of data from various sources and platforms e.g., TLS with airborne LiDAR is recommended for improved vegetation parameter extraction (including AGB) at larger spatial scales. The review highlights the huge potential of TLS for accurate savanna vegetation extraction by discussing TLS opportunities, challenges and potential future research in the savanna biome.

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