Surveying, Civil Engineering, Geoinformation in Sustainable Development: Selected Papers from "SCEGeo Conference 2020"

A special issue of Geosciences (ISSN 2076-3263).

Deadline for manuscript submissions: closed (31 January 2021) | Viewed by 9183

Special Issue Editors


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Guest Editor
Dept. of Construction Technology, Geotechnics and Geodesy, Institute of Civil Engineering, University of Zielona Góra, 1 Prof. Z.Szafrana St., 65-516 Zielona Góra, Poland
Interests: urban development; spatial planning; urban sustainability; spatial data infrastructure (SDI); spatial analysis; artificial intelligence; big data systems; 3D/4D city models; city GML; energy modeling
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Guest Editor
Faculty of Civil and Environmental Engineering and Architecture, UTP University of Science and Technology in Bydgoszcz, Bydgoszcz, Poland
Interests: geodesy; surveying; deformation monitoring; geomatics

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Guest Editor
Faculty of Civil and Environmental Engineering and Architecture, UTP University of Science and Technology in Bydgoszcz, Bydgoszcz, Poland
Interests: stabilization of weak soil; use of industrial waste in soil composites; geotechnical monitoring of buildings

Special Issue Information

Dear Colleagues,

This Special Issue of the Geosciences journal is interdisciplinary, and its topics include measurement, research, implementation, and operational issues in the field of:

  • spatial information systems (design, implementation, and applications) for sustainable development
  • legal and practical aspects of the investment process
  • BIM technology
  • monitoring as well as control and measurement systems in engineering issues, including:
    • new measuring systems and techniques
    • satellite, laser, and photogrammetric techniques
    • analysis and interpretation of measurement results
    • application of IT methods
    • running a state geodetic and cartographic resource
  • sustainable development issues in engineering
  • communication and building construction, sanitary networks and installations
  • geoengineering

The specificity of research topics and the global practical aspect make the Special Issue of Geosciences interdisciplinary and international.

The Special Issue corresponds with the SCEgeo Conference. This conference covers interdisciplinary problems of engineering activities in the field of design, implementation, management, and monitoring of buildings and construction structures in the aspect of sustainable development.  It is focused on the exchange of scientific, academic, and practical experiences and the integration of the scientific environment operating at the interface of geodesy, cartography, spatial information systems, construction, environmental engineering, architecture, and spatial planning.

Prof. Anna Bazan-Krzywoszańska
Dr. Jacek Sztubecki
Dr. Szymon Topoliński
Guest Editors

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Keywords

  • surveying monitoring
  • image analysis
  • spatial planning
  • Geographic Information System
  • geotechnics geotechnical monitoring
  • construction
  • technical condition of structures
  • transport engineering
  • environmental engineering

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Published Papers (3 papers)

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Research

13 pages, 2793 KiB  
Article
Identification of Problems Associated with the Usage of Friction (Koeppe) Hoists Based on Geodetic Measurements
by Agnieszka Ochałek, Wojciech Jaśkowski and Mateusz Jabłoński
Geosciences 2020, 10(11), 444; https://doi.org/10.3390/geosciences10110444 - 7 Nov 2020
Viewed by 1936
Abstract
The hoist assembly based on the Koeppe friction is a commonly used solution in mining. However, it has some disadvantages. A few centimeters offset of the groove axis can lead to excessive abrasion of linings on the Koeppe friction and pulleys. As a [...] Read more.
The hoist assembly based on the Koeppe friction is a commonly used solution in mining. However, it has some disadvantages. A few centimeters offset of the groove axis can lead to excessive abrasion of linings on the Koeppe friction and pulleys. As a consequence, the mines are forced to bear the direct and indirect costs of replacing the linings such as the cost of materials and service as well as the cost of extended machine and shaft downtime. Last year, the authors undertook a geodetic inventory of the condition of two hoisting machines with a Koeppe winder. Terrestrial laser scanning enhanced with precision total station measurements were performed. Additionally, elements particularly important for the performed analysis (inclination of hoisting machine and rope wheels shafts) were determined by the precision leveling technique. Obtained results were verified using measurements on Szpetkowski’s tribrach. Appropriate selection of the measurement methods in both analyzed examples allowed us to determine the causes of destruction of each hoist assembly component. Based on precise geodetic data, guidelines have been defined for rectification (twisting and shifting the rope pulleys), which seems unavoidable despite the lack of unambiguous legal regulations. Full article
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14 pages, 5445 KiB  
Article
A Variance Model in NRTK-Based Geodetic Positioning as a Function of Baseline Length
by Ömer Gökdaş and M. Tevfik Özlüdemir
Geosciences 2020, 10(7), 262; https://doi.org/10.3390/geosciences10070262 - 9 Jul 2020
Cited by 8 | Viewed by 3456
Abstract
This study examines the effect of baseline length on accuracy and precision in Network Real-Time Kinematic (NRTK) positioning and develops an experimental mathematical model to express this effect. The study also measures the performances of the Flaechen Korrektur Parameter (FKP) and Virtual Reference [...] Read more.
This study examines the effect of baseline length on accuracy and precision in Network Real-Time Kinematic (NRTK) positioning and develops an experimental mathematical model to express this effect. The study also measures the performances of the Flaechen Korrektur Parameter (FKP) and Virtual Reference Stations (VRS) methods at different baseline lengths. The study makes use of the stations that form two Continuously Operating Reference Station (CORS) networks, one of which is local and the other national. Calculations were made to perform various geodetic operations, such as datum transformations between the two networks, identifications of positional velocities, and epoch shifting. BERNESE (v5.2) software was used to identify coordinate values assumed to be true based on International GNSS Service (IGS) products. No significant changes were observed in the RMSE values in baseline lengths of up to 40 km. In contrast, an average linear correlation of 69.2% was determined between precision and baseline length. Measurements were evaluated and tested using the variance model created as a function of the baseline length, in line with the aims of the study, and the results were found to be consistent. Moreover, in an examination of the Root Mean Square Error (RMSE) and precision values of the FKP and VRS measurements, no significant differences were observed. The mean differences were at the millimetre level. Full article
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17 pages, 8683 KiB  
Article
Down-Sampling of Large LiDAR Dataset in the Context of Off-Road Objects Extraction
by Wioleta Błaszczak-Bąk, Joanna Janicka, Czesław Suchocki, Andrea Masiero and Anna Sobieraj-Żłobińska
Geosciences 2020, 10(6), 219; https://doi.org/10.3390/geosciences10060219 - 4 Jun 2020
Cited by 9 | Viewed by 2837
Abstract
Nowadays, LiDAR (Light Detection and Ranging) is used in many fields, such as transportation. Thanks to the recent technological improvements, the current generation of LiDAR mapping instruments available on the market allows to acquire up to millions of three-dimensional (3D) points per second. [...] Read more.
Nowadays, LiDAR (Light Detection and Ranging) is used in many fields, such as transportation. Thanks to the recent technological improvements, the current generation of LiDAR mapping instruments available on the market allows to acquire up to millions of three-dimensional (3D) points per second. On the one hand, such improvements allowed the development of LiDAR-based systems with increased productivity, enabling the quick acquisition of detailed 3D descriptions of the objects of interest. However, on the other hand, the extraction of the information of interest from such huge amount of acquired data can be quite challenging and time demanding. Motivated by such observation, this paper proposes the use of the Optimum Dataset method in order to ease and speed up the information extraction phase by significantly reducing the size of the acquired dataset while preserving (retain) the information of interest. This paper focuses on the data reduction of LiDAR datasets acquired on roads, with the goal of extraction the off-road objects. Mostly motivated by the need of mapping roads and quickly determining car position along a road, the development of efficient methods for the extraction of such kind of information is becoming a hot topic in the research community. Full article
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