Agroforestry Permanent Photo Gallery (click here to access)
The Agroforestry Gallery is a key feature of DigitAF's Agroforestry Virtual Space, providing a dynamic platform for sharing and exploring agroforestry-related images.
Through the gallery, users can upload their own photos directly to the EURAF Agroforestry Media Zenodo community. Each uploaded image receives a DOI, is stored under an open license (default: CC BY 4.0), and is automatically integrated into the gallery via the International Image Interoperability Framework (IIIF) and the Zenodo API.
As part of our collaboration, MVARC helped design and implement the gallery’s technical architecture, ensuring it could be easily embedded or adapted by other initiatives. Because it is hosted directly from the EURAF GitHub repository, the gallery offers a ready-to-use, open-source solution for any organization wishing to showcase agroforestry-related images on their own website.
Its decentralized workflow is simple yet sustainable: contributors submit photos to Zenodo, EURAF curators review them for quality, and approved images appear in the public gallery. This approach ensures long-term scalability, even after the DigitAF project concludes, and may inspire other initiatives to reuse both the concept and the code.
It offers an elegant and FAIR-compliant solution to image storing and sharing, avoiding "Can I use this picture?", "Where is the full resolution to use in printing material", "Who is the author of this picture?" or "How do I cite this picture". The gallery features permanent, curated photo collections from EURAF and its partners. All images are freely available for learning and exploration, with geo-tagged photos marked by a globe icon, when the coordinate is supplied by the author in the Zenodo record.
Through our contribution to the Agroforestry Gallery, MVARC supports open science, long-term data stewardship, and a collaborative approach to knowledge sharing that reflects EURAF’s and DigitAF’s shared values.
To explore the gallery, contribute your own images, or learn how to integrate it into your platform, visit DigitAF or see the README in the EURAF GitHub repository.