EUNIS habitat maps: enhancing thematic and spatial resolution for Europe through machine learning.

ABSTRACT: The EUNIS habitat classification is crucial for categorising European habitats, supporting European policy on nature conservation and implementing the Nature Restoration Law. To meet the growing demand for detailed and accurate habitat information, we provide spatial predictions across Europe (EEA39 territory) for 260 EUNIS habitat types at hierarchical level 3, together with independent validation and uncertainty analyses. Using ensemble machine learning models, together with high-resolution satellite imagery and ecologically meaningful climatic, topographic and edaphic variables, we produced a European habitat map indicating the most probable habitat overall at 100-m resolution across Europe. Additionally, we provide information on prediction uncertainty and the most probable habitats at

SUBMITTER: Si-Moussi S 

PROVIDER: S-EPMC12717425 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature