This git repository gathers the code supporting a research article published in Ecological Informatics:
Estopinan J, Servajean M, Bonnet P, Joly A, Munoz F. Mapping global orchid assemblages with deep learning provides novel conservation insights. Ecological Informatics. 2024 May 10:102627. https://doi.org/10.1016/j.ecoinf.2024.102627
- The website provides access to the produced indicators on species assemblages.
What is included here:
- The trained model exploited to predict worldwide orchid species assemblages
- The python scripts to go from a trained pytorch model to Cloud Optimized Geotiffs maps of the indicators
- The python scripts to reproduce article figures [on-going]