Proposal: On behalf of several provinces NEO has monitored whether trees disappeared in areas that fall under the nature conservation law. The enforcement of this law is difficult, as areas are enormous and human resources limited. By monitoring the trees in an automated way NEO delivers only the most relevant changes to the client to follow up in the field. The nationwide tree database of the Boomregister that was developed by NEO is used as baseline. Satellite data is used as source for the yearly updates. We use deep learning algorithms to signal where trees have disappeared, and filter them to only keep the most relevant ones.

Proposal: The service automatically checks satellite imagery time series and delivers a classification of parcels in line with the requirements. Additionally a dataset of 2D geometries of suspected changes, including properties of the change signal such as nature of change (e.g. building, water, vegetation) and date of change is delivered to add further efficiency to the process of updating the geometries of the parcels, in order to comply with LPIS requirements.