One of the main objectives of this study is to investigate some intensity road characteristics based on ZEB1 LiDAR data. These intensity characteristics are the area with construction problems and the extent of the ditches network. As road construction problems here we consider the peaks and the depressions on the road surface that affect the transportation.
In order to evaluate the flatness of the road surface we can make use of two relevant indexes. The two indexes are called Topographic Position Index (TPI) and Standardized Elevation Index (SEI). TPI is calculated as the difference between the elevation value of each cell and the average elevation value of its neighbor …show more content…
There are different available types e.g. circle, annulus, wedge and rectangle. The selection of the most suitable type depends always on the purpose we have set, for example the wedge shape neighborhoods are used when we are interested to a particular direction. Generally the rectangle and circle neighborhoods are more reasonable and here the rectangle type is preferred. The input data of this analysis is the road areas that were detected before on the DTM. The areas that are recognized as depressions alongside the roads with linear shape are ditches and in this way we can detect the extent of their network. Both SEI and TPI analyses are available with the toolbox Land Facet Corridor Designer which is developed by Jennes et al. (2013). The specific toolbox is compatible with ArcGIS software and was imported to …show more content…
With the Leica TS 15 we derive 3 points on the road surface every 20 meters. The two of these points are located at the borders of the road and the third point is located on the centerline of the road. From the two points on the road borders we calculate the roadway width and the traverse road inclination while from the points located on the road centerline we calculate the lengthwise road inclination. In principle these triplets of points are captured every 20 meters along the roads but in special cases