2017
DOI: 10.17221/95/2017-jfs
|View full text |Cite
|
Sign up to set email alerts
|

Monitoring geometric properties of an existing forest road using airborne Lidar data

Abstract: Matinnia B., Parsakhoo A., Mohammadi J., Shataee Jouibari S. (2017): Monitoring geometric properties of an existing forest road using airborne Lidar data. J. For. Sci., 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-deri… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(6 citation statements)
references
References 21 publications
0
6
0
Order By: Relevance
“…It is necessary for transportation control safety purposes to have access to reliable data that contains the road's geometric properties such as a slope gradient, travel width, and curve radius. According to [51], geometric properties are detectable by applying a 3D auto-detection technique using LiDAR data.…”
Section: ) Road Geometric Properties Extractionmentioning
confidence: 99%
See 1 more Smart Citation
“…It is necessary for transportation control safety purposes to have access to reliable data that contains the road's geometric properties such as a slope gradient, travel width, and curve radius. According to [51], geometric properties are detectable by applying a 3D auto-detection technique using LiDAR data.…”
Section: ) Road Geometric Properties Extractionmentioning
confidence: 99%
“…More specifically, for the forest road, LiDAR is able to detect ground points below the masked surfaces. Hence, nowadays, LiDAR systems are counted as strong tools in forest road monitoring [51].…”
Section: ) Road Geometric Properties Extractionmentioning
confidence: 99%
“…B. Matinnia et al [16] used the triangular irregular networks (TIN) algorithm to generate geometric alignments and road cross-sections using LiDAR DEMs in Autocad Civil 3D road design software. This study shows that the geometric parameters of horizontal and vertical roads can be generated under dense canopy without conducting a field survey.…”
Section: Comparison Between Total Station (Ts) Airborne Lidar and Unmanned Aerial Vehicle (Uav)mentioning
confidence: 99%
“…In the development of road designs in wooded, thick-canopied, and mountainous areas, airborne LiDAR can provide very intensive terrain data. Studies conducted by B. Matinnia et al [16] found that the remarkable accuracy of LiDAR data aids road design by representing the vertical and horizontal alignment of the road without time-consuming field surveying methods in broad areas. Meanwhile, B.P Reis et al [92] showed that LiDAR can produce main images in places with dense tree cover to sustain forest regeneration followed by road network design to avoid this area in order to save the environment.…”
Section: Lidar Data For Road Planning and Designmentioning
confidence: 99%
See 1 more Smart Citation