Abstract
The technology of terrestrial laser scanning has widely been used in the surveying industry in recent years due to higher data collecting productivity compared to traditional tacheometric survey. The aim of this study is to assess generalization errors in topographic surveys of landforms on the basis of a large vegetation free semi-coke landfill hill with the relative height of 116 m in North-East Estonia. The numerical assessment of errors is proceeded by comparing a high-resolution terrestrial laser scanning (TLS) 3D surface model with surface models generated from the sparser data steps (10, 20, 30 and 50 m). The 10 and 20 m data step surface models yield discrepancies within ± 20 cm. The 30 m data step models revealed slightly larger differences. Expectedly the largest elevation differences reaching up to 2.5 m were associated with the 50 m point step.
Highlights
The numerical assessment of errors is proceeded by comparing a high-resolution terrestrial laser scanning (TLS) 3D surface model with surface models generated from the sparser data steps (10, 20, 30 and 50 m)
3D surface models are compiled from topographic survey data acquired by conventional tacheometric or global navigation satellite system (GNSS) surveys
The benefits of TLS and ALS are mainly due to the data collecting speed that can vary from few thousands up to million points per second resulting in a high resolution dataset known as a point cloud
Summary
3D surface models are compiled from topographic survey data acquired by conventional tacheometric or global navigation satellite system (GNSS) surveys. Even though terrestrial laser scanning (TLS) is widely used for surveying of buildings (Murphy et al 2011; Mill et al 2013), technical infrastructure (Fekete et al 2010; Nuttens et al 2010) and in monitoring of structural deformations (Wang et al 2009; Mill et al 2014, 2015), this novel technique (alongside with airborne laser scanning – ALS) can be used for acquiring topographic data. The benefits of TLS and ALS are mainly due to the data collecting speed that can vary from few thousands up to million points per second resulting in a high resolution dataset known as a point cloud. An obvious drawback is that the signal of most terrestrial laser scanners is unable to penetrate through vegetation and the reflected signal cannot be surely linked to the ground surface
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
