Transport Networks of Germany, derived from the german digital landscape model at scale 1:250000. Mapped via EuroRegionalMap to satisfy INSPIRE and European Location Framework conformance. The dataset contains the road, railway, water and air network and is available as Open Data.

This object detection dataset is intended to support the development of AI-based applications. For this purpose, image data is provided that was captured on various ships in the Baltic Sea, the German Bight, Dutch waters and the English Channel using RGB and infrared cameras. The dataset distinguishes between five object classes based on COLREG. DOI: https://doi.bsh.de/10.60751/z1w9-t249

This inventory of traffic areas in the city of Brunswick, Germany, is based on image sequences acquired during six flight campaigns at different times of the day and year in 2019 and 2020. Each aerial image is segmented by a neural network into the classes (1) Parking area, (2) Road, and (3) Access way, with the latter two classes differing in terms of their primary transportation function (mobility versus access). The individual segmentations are subsequently merged, since in addition to dedicated parking areas, those traffic areas that are regularly used for parking a motorized vehicle (e.g., at the curbside) are also to be classified as such. Furthermore, the multitemporal fusion enhances the robustness and completeness of the traffic area map (TAM). Potential applications include: urban planning, traffic modeling, and parking management. For more information about the project, the reader is referred to: https://elib.dlr.de/191145/1/Hellekes_et_al_2022_Parking_space_inventory_from_above.pdf

For the calculation of the data "AIS Vessel Traffic Density", the data of the Universal Shipborne Automatic Identification System (AIS) were evaluated with regard to various parameters and ship types under stochastic aspects. The data are requested once a year for the past year from the European Maritime Safety Agency (EMSA). Among others, the information is collected and stored for the purpose of securing maritime traffic and is used for the manufacture of products produced for navigation by the Federal Maritime and Hydrographic Agency (BSH). The data "AIS Vessel Traffic Density" represent the mean spatio-temporal density distribution of the ships. This is the average number of ships that have passed through a defined area (grid cell) in a certain period of time. The counting distinguishes between five types of vessels: fishing vessels, cargo vessels, tankers, passenger vessels and all vessels. For more information, please visit: https://gdi.bsh.de/en/data/Vessel-Traffic-Density-Annual-Values-timeslider_Dokumentation_Schiffsverkehrsdichte_DE.pdf