The egaia-core repository serves as the foundational framework for Project EGaia, encompassing essential algorithms, data models, and tools for ecological restoration initiatives.

Spectral recovery analysis for forested ecosystems in Python. Part of the PEOPLE-ER project.

a project and digital communal space for passionate people that strive to follow nature’s way of life, protect all beings on that path, and are constantly struggling to find ways to survive alongside contemporary civilizations: indigenous, migrants, minorities, outcasts, hippies: *real* people

Data and code of Bauer et al. (2024) J Veg Sci

The k-NN tool is to provide a generic tool to conduct k Nearest Neighbour (k-NN) prediction of continuous forest target variables of interest. In the context of Ecosystem Restoration monitoring, the tool allows wall-to-wall propagation of the variables of interest using field reference data and provided EO datasets. Part of the PEOPLE-ER project.