The data set represents the calculated and estimated probability of tree populations along the rail infrastructure of the federal states of North Rhine-Westphalia and Thuringia versus tree fall (nationwide calculation in planning). This product of the storm probability is the result of the research project “Sensitivity analysis of vegetation along federal transport routes with regard to storm hazards and embankment fires” of the German Center for Rail Transport Research at the Federal Railway Authority as part of the work of the BMDV expert network in the field of climate change impacts and adaptation (bmdv-Expertennetzwerk.de). The factual information and hazard classes are provided exclusively for the area of rail infrastructure. Probability estimates for the fall of trees in the area of the rail infrastructure are shown, each 50 m on either side of the track. The risk assessments were calculated at the level of individual trees, which were determined in a previous DZSF project to determine the tree population along the German rail network using aerial photographs and digital elevation models (see DZSF Research Report 10/2021; Storm Throw Exposure). The probability estimation was carried out using a MaxEnt model based on past events as well as topography, vegetation, meteorology and soil data sets. The potential is given between 0 and 1, with a higher value representing a higher susceptibility of the vegetation to toppling based on the model parameters. Only the tree polygons that have exposure classes 3 and 4 in the storm exposure data set can be seen. This shows which trees could be potentially dangerous to the rail infrastructure if they fall.
