GUARDEN

GUARDEN will make use of a suite of methods and tools using Deep Learning, Earth Observation, and hybrid modelling to augment the amount of standardized and geo-localized biodiversity data, build-up a new generation of predictive models of biodiversity and ecosystem status indicators under multiple pressures (human and climate), and propose a set of complementary ecological indicators for local management and policy.

The GUARDEN approach will be applied to sectoral case studies involving end users and stakeholders through MSPs, and addressing critical cross-sectoral challenges (i.e., at the nexus of biodiversity and deployment of energy/transport infrastructure, agriculture, and coastal urban development).