Short term monitoring of forest road pavement degradation using terrestrial laser scanning

Akgül, Mustafa; Yurtseven, Hüseyin; Akburak, Serdar; Demir, Murat; Ciğizoğlu, H. Kerem; Öztürk, Tolga; Ekşi, Mert; Akay, Anıl Orhan

doi:10.1016/j.measurement.2017.02.045

Cited by 30 publications

(22 citation statements)

References 19 publications

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“…Overall, the application in TLS in deformation monitoring is rapidly expanding and its applications in deformation monitoring not only entails the fields mentioned above, but also covers the deformation monitoring of slope [43][44], road [45], cliff [46][47], dam [48][49], building [50][51], bridge [52], etc.…”

Section: Application Of Tls In Deformation Monitoringmentioning

confidence: 99%

Development of Laser Scanner for Full Cross-Sectional Deformation Monitoring of Underground Gateroads

Yang¹,

Zhang²,

Liu³

et al. 2017

Preprint

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Abstract:The deformation of underground gateroads tends to be asymmetric and complex. Traditional instrumentation fails to accurately and conveniently monitor the full cross-sectional deformation of underground gateroads. Here, a full cross-sectional laser scanner was developed together with a visualization software package. The developed system used polar coordinate measuring method and the full cross-sectional measurement was realized by 360° rotation of laser sensor driven by an electrical motor. Later on, the potential impact of gateroad wall flatness, roughness and geometrical profile as well as coal dust environment on the performance of the developed laser scanner were evaluated. The studies show that a high-level flatness is favorable in application of the developed full cross-sectional deformation monitoring system. For a smooth surface of gateroad, the sensor cannot receive reflected light when the incidence angle of laser beam is large, causing data loss. Conversely, the roughness surface shows its priority as the diffuse reflection light can be received by the sensor. With regards to the coal dust in measurement environment, the fine particles of floating coal dust in the air can lead to the loss of measurement data to some certain due to scattering of laser beam.

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Section: Application Of Tls In Deformation Monitoringmentioning

confidence: 99%

Development of Laser Scanner for Full Cross-Sectional Deformation Monitoring of Underground Gateroads

Yang¹,

Zhang²,

Liu³

et al. 2017

Preprint

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“…There are studies [37][38][39] that dealt with the assessment of road surface inequalities and road shape analysis. The main problem of the surface of roads, including forest roads, is rut development [40]. Water flowing in these ruts concentrates in some places, the road surface is flooded and subsequent freezing causes surface damage [41].…”

Section: Introductionmentioning

confidence: 99%

“…Due to the advantages, especially high-precision data collection, TLS technology can be used in the field of road construction to monitor the wear of the road surface [40]. Forest roads should always have a stable and quality surface for safe driving.…”

Section: Introductionmentioning

confidence: 99%

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Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing

et al. 2018

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Currently, a large part of forest roads with a bituminous surface course constructed in the Czech Republic in the second half of the last century has been worn out. The aim of the study is to verify the possibility and the accuracy of the road wearing course damage detected by four different remote sensing methods: close range photogrammetry, terrestrial laser scanning, mobile laser scanning and airborne laser scanning. At the beginning of verification, cross sections of the road surface were surveyed geodetically and then compared with the cross sections created in the DTMs which were acquired using the four methods mentioned above. The differences calculated between particular models and geodetic measurements show that close range photogrammetry achieved an RMSE of 0.0110 m and the RMSE of terrestrial laser scanning was 0.0243 m. Based on these results, we can conclude that these two methods are sufficient for the monitoring of the asphalt wearing course of forest roads. These methods allow precise and objective localization, size and quantification of the road damage. By contrast, mobile laser scanning with an RMSE of 0.3167 m does not reach the required precision for the damage detection of forest roads due to the vegetation that affects the precision of the measurements. Similar results are achieved by airborne laser scanning, with an RMSE of 0.1392 m. As regards the time needed, close range photogrammetry appears to be the most appropriate method for damage detection of forest roads.

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“…A study examining the effect of pavement degradation using a TLS, Akgul et al (2017) found that their TLS method can be used effectively in measuring vertical movement of 1 cm in the pavement. In this thesis, vertical displacement was only detected after 2.3 cm when discussing a man-made feature.…”

Section: Laser Scanning a Relatively Smooth Man-made Surfacementioning

confidence: 99%

Determining the uncertainty of areal mean surface elevation measured with a terrestrial laser scanner and with a total station in permafrost environments near Lac de Gras, NWT, Canada

Peart¹

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Quantifying topographic change in permafrost environments is important because it can provide insight about the loss of excess ice. Ground-based methods that detect change in surface elevation, however, are often applied at individual points rather than over an area, giving rise to questions about their representativeness.Remote sensing methods can overcome this problem, although confounding signals may arise from changing vegetation and microtopography. Comparing remotely sensed areal surface elevation or elevation change with ground-based observations also requires areal estimates rather than point measurements. This study examines the uncertainty of mean elevation measured with a terrestrial laser scanner and with a total station on 28 plots with different surface characteristics in a tundra environment. Observations from terrestrial laser scanning and surveying with a total station are analyzed statistically to reveal confidence intervals for the derived mean elevations. In the absence of a true reference elevation for the plots investigated, the difference between both mean elevations is quantified as well as the likelihood of representing the same surface. The results provide method specific detection limits for vertical movements of small plots (15 m × 15 m) with differing surface characteristics. The difference between means derived from both methods provides additional context about how well we can define what the surface is that we are observing. On average, terrestrial laser scanning can potentially detect vertical movements in the centimeter range (1.4-24.0 cm) and the total station method in the low decimeter range (3.5-47.1 cm). For all plots, the mean elevations derived from laser scanning and total station surveying are statistically different at the 95% confidence level. Strong differences between plots exist and are influenced by surface ii characteristics.iii

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Short term monitoring of forest road pavement degradation using terrestrial laser scanning

Cited by 30 publications

References 19 publications

Development of Laser Scanner for Full Cross-Sectional Deformation Monitoring of Underground Gateroads

Development of Laser Scanner for Full Cross-Sectional Deformation Monitoring of Underground Gateroads

Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing

Determining the uncertainty of areal mean surface elevation measured with a terrestrial laser scanner and with a total station in permafrost environments near Lac de Gras, NWT, Canada

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