Figure 1: Europe’s nighttime light brightness as exemplary illustration of GeoDataServices’ underlying high resolution data (own graph). Image and Data is processed by NOAA’s National Geophysical Data Center and collected by the US Air Force Weather Agency.

With GeoDataServices (Schultz, M.G., 2018), we enable an automated and flexible characterisation of an arbitrary point location using high resolution data. These services are accessible through a standardised REST API and can therefore easily be used by both human and machine. In the current version, GeoDataServices includes geographical information on topography and dominant land surface covers, anthropogenic data about urbanisation (human settlements, built-up areas, nighttime light brightness, population density and streets) and agriculture yields (rice and wheat), climatological and environmental data as NOx emissions and climatic zones. Combining this data, GeoDataServices can characterise any point location and therefore enables users to compare locations in a personalised -use case driven- way. For this personalisation, each query needs to be specified with a radius around the point location, in which a given statistical aggregation function is applied. Beside this personalised information preparation, the GeoDataServices are also included in the TOAR database metadata creation. GeoDataServices is currently under development and not yet accessible for the public. However, interested people are encouraged to contact us for more insight into GeoDataServices.

Reference: Schultz, Martin G., et al. “A web service architecture for objective station classification purposes.” 2018 IEEE 14th International Conference on e-Science (e-Science). IEEE, 2018.