Paper
26 August 2020 Determination of culverts on low-volume roads using GIS and remote sensing
Vasileios Giannoulas, Liampas Sarantis-Angelos, Christos Stamatiou, Drosos Vasileios
Author Affiliations +
Proceedings Volume 11524, Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020); 115240Z (2020) https://doi.org/10.1117/12.2571888
Event: Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), 2020, Paphos, Cyprus
Abstract
Forest roads are mentioned as necessary and functional structures in forest lands which supply access of forestry workers, machines and others for management, afforestation, harvesting, transportation, protection, recreation, hunting activities and wildlife safely and efficiently during the year. Forest roads is a type of low-volume roads (Defined as roads with traffic volumes of no more than 400 vehicles per day, they have enormous impacts on economies, communication, and social interaction). Effective road drainage is crucial to protect the road prism from damage and to keep the road surface stable for the road quality. The quality of the road is very substantial for forestry activities and it has been a major problem for Greek forestry sector. The most effective method for controlling erosion on forest roads is to keep water from accumulating on and running down the road surface. Water should be diverted from the road surface and dispersed into vegetation and ground litter with cross culverts, rolling dips, diversion ditches and water bars. The creation of standards for drainage systems is one of the most important technical developments in forest road construction. Mapping of the locations in the forest road network in which a technician is required to safely drain rainwater. In the present study, sample points of locations were taken using global positioning system (GPS) for the determination of culverts and then remote sensing and GIS were used for a map creation. The goal is to provide a simple road structure of adequate strength to support heavy vehicle traffic and provide drainage structures to pass water at its normal level through the road corridor.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vasileios Giannoulas, Liampas Sarantis-Angelos, Christos Stamatiou, and Drosos Vasileios "Determination of culverts on low-volume roads using GIS and remote sensing", Proc. SPIE 11524, Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), 115240Z (26 August 2020); https://doi.org/10.1117/12.2571888
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KEYWORDS
Roads

Geographic information systems

Forestry

Raster graphics

Environmental management

Data modeling

Databases

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