EUNIS Habitat Maps: Enhancing Thematic and Spatial Resolution for Europe through Machine Learning
DOI10.5281/zenodo.11108226Zenodo11108226MaRDI QIDQ6682272
Dataset published at Zenodo repository.
Author name not available (Why is that?)
Publication date: 3 May 2024
Copyright license: No records found.
The EUNIS habitat classification is essential for categorising European habitats and supporting European policy on nature conservation and to implement the Nature Restoration Law. As such, to meet the growing demand for detailed and accurate habitat information, we provide spatial predictions for 260+ EUNIS habitat types at EUNIS level 3, together with validation and uncertainty analyses. More specifically, using ensemble machine learning models together with high-resolution satellite imagery and other climatic, terrain and soil variables, we produced an European habitat map at a 100-m resolution indicating the most likely EUNIS habitat at level 3 for every location across Europe. Predictions were validated for three independent countries, namely for France, the Netherlands and Austria. We also provide information on uncertainty and the most probable habitats at level 3 within each EUNIS level 1 formation. Products can be further refined with accurate and local land cover data. This product is thus likely to be particularly useful for restoration but also conservation purposes. Figure: Wall-to-wall map of EUNIS habitats at level 3 - (color coded at level 2 for visibility)
This page was built for dataset: EUNIS Habitat Maps: Enhancing Thematic and Spatial Resolution for Europe through Machine Learning
