H.J. Abdullah PhD (Haidi)

BIOSPACE

The overall aim of the BIOSPACE project is to monitor biodiversity by upscaling field observations and genomic (eDNA) information using next generation satellite remote sensing. A further key aim is the deepening of our scientific understanding of how biodiversity is impacted by anthropogenic pressure as well as by natural environmental gradients.To synthesize global biodiversity on a fine granular scale, the first specific objective is to predict biodiversity over large areas using environmental DNA (eDNA) and next-generation hyperspectral and LiDAR satellite remote sensing. As the richness in ecological function remains mostly invisible to remote sensing, the second objective is that global biodiversity may be monitored through ecosystem function by satellite. This would allow ecosystem function, expressed through foliar chemistry (e.g. N:P or C:N ratios) or through plant traits (expressed in Grimes' theoretical Competitor-Stress tolerator-Ruderal [CSR] strategies) to be parameterized and interpolated in next-generation satellite images using the functional genes from eDNA sequences. The third key objective will be to demonstrate and understand how the many available eDNA sequences interpolated by remote sensing for ecosystem function and taxonomy may be affected by environmental gradients and anthropogenic pressure. 

OBSGESSION

OBSGESSION strives to advance the understanding of direct and indirect drivers of biodiversity change through integrating Earth Observation methods, in-situ observations and state-of-the-art ecological modelling. The project addresses science-policy gaps, supports conservation planning, and helps share knowledge for effective engagement of international and EU stakeholders in ecosystem and biodiversity management.

ECO MOSIAC

Ecosystem Monitoring and Scaling for Climate Change Impacts (ECOMOSAIC)

The ECO-MOSAIC (Ecosystem Monitoring and Scaling for Climate Change Impacts) project develops an open, scalable framework to monitor how climate change alters terrestrial ecosystems across Europe. Building on ESA Climate Change Initiative datasets and other satellite Earth Observation products, the project links Essential Biodiversity Variables and Essential Climate Variables with in-situ monitoring networks and advanced AI models to understand the impact of the climate change extreme event on species distribution. ECO-MOSAIC will generate spatially explicit indicators of ecosystem condition, resilience, exposure, and change at multiple spatial and temporal scales, supporting conservation planning and ambitious climate adaptation policies. The project will co-produce methods and open-source tools for users, ensuring interoperability, transparency, and uptake in policy and practice. Ultimately, ECO-MOSAIC aims to deliver transferable workflow and decision-ready information for scientists, land managers, policy makers worldwide, and other users of ecosystem information across Europe and beyond.