Next Article in Journal
Simulating Multi-Directional Narrowband Reflectance of the Earth’s Surface Using ADAM (A Surface Reflectance Database for ESA’s Earth Observation Missions)
Next Article in Special Issue
Remote Detection of Moisture and Bio-Deterioration of Building Walls by Time-Of-Flight and Phase-Shift Terrestrial Laser Scanners
Previous Article in Journal
Unseen Land Cover Classification from High-Resolution Orthophotos Using Integration of Zero-Shot Learning and Convolutional Neural Networks
Previous Article in Special Issue
Automated Feature-Based Down-Sampling Approaches for Fine Registration of Irregular Point Clouds
Open AccessArticle

Automatic Processing of Aerial LiDAR Data to Detect Vegetation Continuity in the Surroundings of Roads

1
Geotech Group, CINTECX, Department of Natural Resources and Environmental Engineering, School of Mining Engineering, University of Vigo, 36310 Vigo, Spain
2
Geotech Group, Department of Natural Resources and Environmental Engineering, School of Aerospace Engineering, University of Vigo, 32004 Ourense, Spain
3
Geotech Group, CINTECX, Department of Natural Resources and Environmental Engineering, School of Forestry Engineering, University of Vigo, 36005 Pontevedra, Spain
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(10), 1677; https://doi.org/10.3390/rs12101677
Received: 10 April 2020 / Revised: 21 May 2020 / Accepted: 22 May 2020 / Published: 23 May 2020
(This article belongs to the Special Issue Point Cloud Processing and Analysis in Remote Sensing)
The optimization of forest management in the surroundings of roads is a necessary task in term of wildfire prevention and the mitigation of their effects. One of the reasons why a forest fire spreads is the presence of contiguous flammable material, both horizontally and vertically and, thus, vegetation management becomes essential in preventive actions. This work presents a methodology to detect the continuity of vegetation based on aerial Light Detection and Ranging (LiDAR) point clouds, in combination with point cloud processing techniques. Horizontal continuity is determined by calculating Cover Canopy Fraction (CCF). The results obtained show 50% of shrubs presence and 33% of trees presence in the selected case of study, with an error of 5.71%. Regarding vertical continuity, a forest structure composed of a single stratum represents 81% of the zone. In addition, the vegetation located in areas around the roads were mapped, taking into consideration the distances established in the applicable law. Analyses show that risky areas range from a total of 0.12 ha in a 2 m buffer and 0.48 ha in a 10 m buffer, representing a 2.4% and 9.5% of the total study area, respectively. View Full-Text
Keywords: horizontal continuity; vertical continuity; forest fire; aerial LiDAR; forestry management; point cloud processing; unmanned aircraft systems horizontal continuity; vertical continuity; forest fire; aerial LiDAR; forestry management; point cloud processing; unmanned aircraft systems
Show Figures

Graphical abstract

MDPI and ACS Style

Novo, A.; Fariñas-Álvarez, N.; Martínez-Sánchez, J.; González-Jorge, H.; Lorenzo, H. Automatic Processing of Aerial LiDAR Data to Detect Vegetation Continuity in the Surroundings of Roads. Remote Sens. 2020, 12, 1677.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop