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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.

Heathgrass Monitor

Province of Friesland

The algorithm is deployed annually in heathlands to determine the extent of grassing. This grassing is a good indicator of the state of the heathlands by giving insight into the presence of invasive crops.

Last change on 4th of June 2024, at 12:21 (CET) | Publication Standard 1.0
Publication category
Other algorithms
Impact assessment
...
Status
In development

General information

Theme

Nature and Environment

Begin date

06-2021

Contact information

provincie@fryslan.frl

Responsible use

Goal and impact

Through more efficient and frequent monitoring of nature, in this particular case heathland, more targeted determination of source and effect measures.

Considerations

By more frequent monitoring of the degree of grassing, we are able to carry out nature management better. In addition, more frequent monitoring allows for better cause-effect assessments.

Human intervention

The system is descriptive, with human intervention always applicable for making further analyses or decisions.

Risk management

Integral part of the Z-Inspection.

Impact assessment

Z-Inspection

Operations

Data

Habitat type mappings and Sentinel 2 image files.

Technical design

Using label data (mappings) and satellite images, the LSTM algorithm learned to predict the extent to which a class of a particular vegetation occurs at new times and unseen patches of land.

External provider

Ilionx

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