Monitoring geometric properties of an existing forest road using airborne Lidar data
Accurate information about geometric properties of a forest road is essential for the sustainable forestry and transportation safety. In this study the ability of airborne Lidar in detecting vertical and horizontal profiles and cross section elements of a forest road was investigated in a deciduous...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Czech Academy of Agricultural Sciences
2017-11-01
|
Series: | Journal of Forest Science |
Subjects: | |
Online Access: | https://jfs.agriculturejournals.cz/artkey/jfs-201711-0002_monitoring-geometric-properties-of-an-existing-forest-road-using-airborne-lidar-data.php |
_version_ | 1797898682336542720 |
---|---|
author | Benyamin MATINNIA Aidin PARSAKHOO Jahangir MOHAMMADI Shaban SHATAEE JOUIBARI |
author_facet | Benyamin MATINNIA Aidin PARSAKHOO Jahangir MOHAMMADI Shaban SHATAEE JOUIBARI |
author_sort | Benyamin MATINNIA |
collection | DOAJ |
description | Accurate information about geometric properties of a forest road is essential for the sustainable forestry and transportation safety. In this study the ability of airborne Lidar in detecting vertical and horizontal profiles and cross section elements of a forest road was investigated in a deciduous forest of Hyrcanian zone. Moreover, Lidar-derived road data was compared with field surveyed data by Leica Total Station device. The results indicated that the average error of Lidar in assessing vertical and horizontal profiles of the existing road was 0.57 m and 4.9°, respectively. The average error of Lidar in detecting the roadbed was 0.78 m. Lidar had an average error of 1.36% in assessing the longitudinal gradient. Based on findings of this study it was concluded that geometric properties of existing forest roads can be monitored rapidly under dense tree canopy using high-resolution Lidar data and without field survey. |
first_indexed | 2024-04-10T08:18:04Z |
format | Article |
id | doaj.art-15e655b3e134465286d21192693e3aba |
institution | Directory Open Access Journal |
issn | 1212-4834 1805-935X |
language | English |
last_indexed | 2024-04-10T08:18:04Z |
publishDate | 2017-11-01 |
publisher | Czech Academy of Agricultural Sciences |
record_format | Article |
series | Journal of Forest Science |
spelling | doaj.art-15e655b3e134465286d21192693e3aba2023-02-23T03:42:51ZengCzech Academy of Agricultural SciencesJournal of Forest Science1212-48341805-935X2017-11-01631149049510.17221/95/2017-JFSjfs-201711-0002Monitoring geometric properties of an existing forest road using airborne Lidar dataBenyamin MATINNIA0Aidin PARSAKHOOJahangir MOHAMMADI1Shaban SHATAEE JOUIBARI2Department of Forestry, Faculty of Forest Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, IranDepartment of Forestry, Faculty of Forest Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, IranDepartment of Forestry, Faculty of Forest Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, IranAccurate information about geometric properties of a forest road is essential for the sustainable forestry and transportation safety. In this study the ability of airborne Lidar in detecting vertical and horizontal profiles and cross section elements of a forest road was investigated in a deciduous forest of Hyrcanian zone. Moreover, Lidar-derived road data was compared with field surveyed data by Leica Total Station device. The results indicated that the average error of Lidar in assessing vertical and horizontal profiles of the existing road was 0.57 m and 4.9°, respectively. The average error of Lidar in detecting the roadbed was 0.78 m. Lidar had an average error of 1.36% in assessing the longitudinal gradient. Based on findings of this study it was concluded that geometric properties of existing forest roads can be monitored rapidly under dense tree canopy using high-resolution Lidar data and without field survey.https://jfs.agriculturejournals.cz/artkey/jfs-201711-0002_monitoring-geometric-properties-of-an-existing-forest-road-using-airborne-lidar-data.phpvertical profilecross sectionhorizontal profilestotal stationroadbed |
spellingShingle | Benyamin MATINNIA Aidin PARSAKHOO Jahangir MOHAMMADI Shaban SHATAEE JOUIBARI Monitoring geometric properties of an existing forest road using airborne Lidar data Journal of Forest Science vertical profile cross section horizontal profiles total station roadbed |
title | Monitoring geometric properties of an existing forest road using airborne Lidar data |
title_full | Monitoring geometric properties of an existing forest road using airborne Lidar data |
title_fullStr | Monitoring geometric properties of an existing forest road using airborne Lidar data |
title_full_unstemmed | Monitoring geometric properties of an existing forest road using airborne Lidar data |
title_short | Monitoring geometric properties of an existing forest road using airborne Lidar data |
title_sort | monitoring geometric properties of an existing forest road using airborne lidar data |
topic | vertical profile cross section horizontal profiles total station roadbed |
url | https://jfs.agriculturejournals.cz/artkey/jfs-201711-0002_monitoring-geometric-properties-of-an-existing-forest-road-using-airborne-lidar-data.php |
work_keys_str_mv | AT benyaminmatinnia monitoringgeometricpropertiesofanexistingforestroadusingairbornelidardata AT aidinparsakhoo monitoringgeometricpropertiesofanexistingforestroadusingairbornelidardata AT jahangirmohammadi monitoringgeometricpropertiesofanexistingforestroadusingairbornelidardata AT shabanshataeejouibari monitoringgeometricpropertiesofanexistingforestroadusingairbornelidardata |