Ongoing
Phenorob
DDFG-funded Cluster of Excellence developing new technologies to transform crop production while promoting and conserving biodiversity.
WISE
WISE is a seed funding project supported by Uni Bonn’s Transdisciplinary Research Area Sustainable Futures to develop a digital data platform (WISE – Wiesengut Integrated Science and Education Portal) for Campus Wiesengut, University of Bonn’s organic experimental farm.
World Ecosystem Extent Dynamics (WEED)
The main objective of the World Ecosystem Extent Dynamics project is to develop and showcase a versatile and globally applicable innovative toolkit that utilizes Earth Observation data to map and monitor their changes in extent for terrestrial, freshwater, and coastal (up to the intertidal zones) ecosystems.
CAMBIO
Camera-based Agricultural Monitoring for Biodiversity Insights and Observations (CAMBIO) leverages camera traps to monitor wildlife in agroecosystems, and their response to agricultural-related disturbances (e.g., mowing and grazing). The project is funded by the Argelander Grant Starter-Kit “Research Funds” of the University of Bonn.
BioViewPoint
We are combining biodiversity and remote sensing data with artificial intelligence to simulate landscape changes resulting from potential losses of species.
Concluded
ECO2SCAPE
We are testing measures to change the management of agricultural fields that can enhance biodiversity and ecosystem services in the process. We are co-designed these measures with farmers.
Bestmap
Horizon 2020 project, deveopling a novel modeling framework that integrates socio-economic, behavioural, and biophysical approaches to transform future EU rural policies’ design and monitoring, promoting a sustainable future for the agricultural sector.
EarthBridge
Horizon Europe Twinning project bringing together leading expertise in Earth Observation and environmental sciences to bridge existing gaps across educational, applied, and policy domains.
Model2Adapt
Model 2Adapt is a DFG-funded Scientific Network focused on leveraging recent developments in monitoring and AI to develop dynamic ecological-economic Models for Adaptive biodiversity conservation policy instruments.