Waterboard Brabantse Delta (team Data) has commissioned NEO to carry out mutation signalling for the BGT (Basisregistratie Grootschalige Topografie) in the waterboard's management area. We are delighted with this fine assignment and the opportunity to deploy our innovative techniques.
Using data sources such as the Actueel Hoogtebestand Nederland (AHN-4, autumn 2020) and high-resolution aerial photos (spring 2021), we are looking at discrepancies between the BGT watercourses and supporting water sections and earth observation sources.
We use deep learning algorithms to check for the correctness of the BGT water section. As a side task, we also perform a quality check where we check whether the supporting water sections match the insets of the watercourses generated from the AHN-4.
The result consists of mutation signals that we present as "calls to action", e.g. "BGT watercourse has been filled in" or "BGT supporting water section deviates more than 60 cm here". In our work process, we then ensure that all monitored signals meet the correct completeness and accuracy.
With this product, Waterschap Brabantse Delta has an up-to-date insight into the quality of its BGT objects. This insight can then be used to plan improvements to the BGT.
