In the context of the BETA-FOR project, a field trip was conducted in the University Forest of JMU (close to Hassfurt), Saarland and Nationalpark Hunsrück-Hochwald in order to conduct measurements of the extent of the patches under study and support other PhD students of BETA-FOR setting up insect traps, sound recorder or camera traps. Therefore, observations from airborne and spaceborne remote sensing sensors can be linked to in-situ measurements of biodiversity. This interdisciplinary and multi-scale approach of BETA-FOR allows to bridge the analysis of alpha- and beta-diversity to gamma-scale for larger-scale understanding to enhance the structural complexity of forests by improving multidiversity and multifunctionality.
New publication: Mapping animal paths using drones and deep learning
We're pleased to share our latest open-access research on automatically detecting animal paths in Africa's Kruger National Park using drone imagery and deep learning. Published in Ecological Informatics, our study demonstrates how deep learning can be employed to...
