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Open AccessArticle

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

1
Department of Landscape Management, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00 Brno, Czech Republic
2
Department of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00 Brno, Czech Republic
3
Institute of Geodesy, Faculty of Civil Engineering, Brno University of Technology, Veveri 331/95, 602 00Brno, Czech Republic
4
Centre AdMaS, Faculty of Civil Engineering, Brno University of Technology, Purkyňova 651/139, 612 00 Brno, Czech Republic
*
Authors to whom correspondence should be addressed.
Remote Sens. 2018, 10(4), 492; https://doi.org/10.3390/rs10040492
Received: 17 January 2018 / Revised: 6 March 2018 / Accepted: 19 March 2018 / Published: 21 March 2018
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. View Full-Text
Keywords: mobile laser scanning; terrestrial laser scanning; photogrammetry; airborne laser scanning; forest road wearing course mobile laser scanning; terrestrial laser scanning; photogrammetry; airborne laser scanning; forest road wearing course
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MDPI and ACS Style

Hrůza, P.; Mikita, T.; Tyagur, N.; Krejza, Z.; Cibulka, M.; Procházková, A.; Patočka, Z. Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing. Remote Sens. 2018, 10, 492.

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