Authorities need up-to-date information on the use of their land to be able to plan public infrastructure.
Updating land registers is a highly manual process. Ordnance surveys register any change by controlling the land register on-the-spot. Even if information on changes in the land register is available, the update of the land register occurs in different time intervals.
As high-resolution satellite data in high frequencies became available within the last years, it is possible to observe land register changes from space. Algorithms can distinguish relevant from non-relevantland register changes and classify changes automatically in near-real time.
Computer Vision can help to automate the process of land register updates by alerting geospatial analysts on relevant changes to the land register and classifying the land register change to keep the information system up to date.