Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing
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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-03-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/10/4/492 |
| _version_ | 1819294720121110528 |
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| author | Petr Hrůza Tomáš Mikita Nataliya Tyagur Zdenek Krejza Miloš Cibulka Andrea Procházková Zdeněk Patočka |
| author_facet | Petr Hrůza Tomáš Mikita Nataliya Tyagur Zdenek Krejza Miloš Cibulka Andrea Procházková Zdeněk Patočka |
| author_sort | Petr Hrůza |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-24T04:30:48Z |
| format | Article |
| id | doaj.art-75921ec37fa84f04bad1c722713a329b |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-24T04:30:48Z |
| publishDate | 2018-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-75921ec37fa84f04bad1c722713a329b2022-12-21T17:15:25ZengMDPI AGRemote Sensing2072-42922018-03-0110449210.3390/rs10040492rs10040492Detecting Forest Road Wearing Course Damage Using Different Methods of Remote SensingPetr Hrůza0Tomáš Mikita1Nataliya Tyagur2Zdenek Krejza3Miloš Cibulka4Andrea Procházková5Zdeněk Patočka6Department of Landscape Management, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00 Brno, Czech RepublicDepartment of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00 Brno, Czech RepublicInstitute of Geodesy, Faculty of Civil Engineering, Brno University of Technology, Veveri 331/95, 602 00Brno, Czech RepublicCentre AdMaS, Faculty of Civil Engineering, Brno University of Technology, Purkyňova 651/139, 612 00 Brno, Czech RepublicDepartment of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00 Brno, Czech RepublicDepartment of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00 Brno, Czech RepublicDepartment of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00 Brno, Czech RepublicCurrently, 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.http://www.mdpi.com/2072-4292/10/4/492mobile laser scanningterrestrial laser scanningphotogrammetryairborne laser scanningforest road wearing course |
| spellingShingle | Petr Hrůza Tomáš Mikita Nataliya Tyagur Zdenek Krejza Miloš Cibulka Andrea Procházková Zdeněk Patočka Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing Remote Sensing mobile laser scanning terrestrial laser scanning photogrammetry airborne laser scanning forest road wearing course |
| title | Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing |
| title_full | Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing |
| title_fullStr | Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing |
| title_full_unstemmed | Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing |
| title_short | Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing |
| title_sort | detecting forest road wearing course damage using different methods of remote sensing |
| topic | mobile laser scanning terrestrial laser scanning photogrammetry airborne laser scanning forest road wearing course |
| url | http://www.mdpi.com/2072-4292/10/4/492 |
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