With the project "DatKI4BKG - Establishment of a data management system (DMS) and development of AI-based methods in remote sensing for BKG application areas", BKG and DLR are setting up remote sensing data systems for large amounts of data for the BKG and transferring AI applications from research to administrative practice. The project started in October 2021 and will run until April 2024.
In this context, DLR is primarily working on two topics: (1) the design and development of a data management system (DMS) for remote sensing data in the form of data cubes and (2) the development and application of AI-based methods with a focus on supporting the creation of the land cover model (LBM-DE). In the land cover model, landscape changes are recorded and documented by evaluating multispectral satellite images. In the federal administration, the LBM-DE is used, for example, by the Federal Environment Agency or the Federal Institute of Hydrology to continuously record environmental changes. The LBM-DE also plays a key role in spatial planning, land development, land statistics and research into nature and the environment.
The sub-projects are coordinated within DLR to ensure that the components interact as smoothly as possible. This also includes measures aimed at transferring knowledge to the BKG and thus facilitating a close, active exchange between the BKG and DLR, for example through work shadowing.
DatKI4BKG
Das BKG arbeitet im Projekt „KIbasierte Analyse in der Fernerkundung“ an der Überführung von Künstliche Intelligenz (KI)-Anwendungen im Bereich Fernerkundung von der Forschung in die angewandte Praxis, so dass diese methodisch neuartige Herangehensweise bei konkreten Verwaltungsaufgaben eingesetzt werden kann. Dabei unterstützt das DLR das BKG im Weiterentwicklungsprojekt DatKI4BKG, das innerhalb des Rahmenvertrags „IF-Bund - Innovative Fernerkundung für die Bundesverwaltung“ verankert ist.
