Approximately 80 % of all data can be placed in a spatial context and thus allows the generation of information on different spatial as well as chronological scales. This information can be utilized for the analysis of current or historic developments and interrelations, and for a prognosis of possible future changes including their impact (geographic information system). Thus, they form the basis for decision-making (process management) with regards to the development of measures that change our future (e.g. in the areas energy and resource efficiency, mobility and transportation, supply and removal infrastructure) and form the foundation for corresponding modelling.
In order to collect and evaluate relevant mass data (e.g. individual measurements, profiles, images, 3D scatter-plots), terrestrial as well as air and satellite-based measuring methods and computer supported evaluation methods are necessary that, depending on the specific demand, provide the data in a chronological (up-to-dateness) and spatial (precision) quality under consideration of economic aspects.
Hereby, the research encompasses the development of new geodetic measuring and analysis methods as well as the use of this data in geographic information systems to analyse spatial change.