Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.
Heathland Grassification Monitor
The algorithm is used annually in heathland areas to determine the extent of grass encroachment. This grass encroachment is a good indicator of the condition of the heathland areas, as it provides insight into the presence of invasive plants.
Last change on 11th of August 2026, at 6:49 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- Z-Inspection
- Status
- In development
General information
Theme
Nature and Environment
Begin date
2021-06
Contact information
provincie@fryslan.frl
Responsible use
Goal and impact
By monitoring the natural environment – in this specific case, heathland – more efficiently and frequently, it is possible to identify source and impact control measures in a more targeted manner.
Considerations
By monitoring the extent of grass encroachment more frequently, we are able to carry out nature conservation more effectively. Furthermore, more frequent monitoring makes it possible to identify cause-and-effect relationships more accurately.
Human intervention
The system is descriptive, meaning that human intervention is always required to carry out further analyses or make decisions.
Risk management
An integral part of the Z-Inspection.
Impact assessment
Z-Inspection
Operations
Data
Habitat type maps and Sentinel-2 image files.
Technical design
Using labelled data (mapping) and satellite imagery, the LSTM algorithm has learnt to predict, for new time points and previously unobserved areas of land, the extent to which a particular vegetation class is present.
External provider
Ilionx
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