The BioClima project, bolstered by the EU-China collaboration, aims to enhance biodiversity and climate monitoring by integrating advanced AI with ground-based and remote sensing data systems. These AI-driven tools will analyse vast environmental datasets, offering innovative insights into terrestrial ecosystems and strengthening monitoring via Essential Biodiversity Variables (EBVs) and Essential Climate Variables (ECVs). By coupling AI with traditional data sources and methods, BioClima strives to refine data models and analytical pipelines, fostering synergistic solutions for biodiversity conservation and climate mitigation, and empowering policy-making with robust, science-backed strategies for climate and biodiversity integration at both national and international scales.

The BioClima project, bolstered by the EU-China collaboration, aims to enhance biodiversity and climate monitoring by integrating advanced AI with ground-based and remote sensing data systems. These AI-driven tools will analyse vast environmental datasets, offering innovative insights into terrestrial ecosystems and strengthening monitoring via Essential Biodiversity Variables (EBVs) and Essential Climate Variables (ECVs). By coupling AI with traditional data sources and methods, BioClima strives to refine data models and analytical pipelines, fostering synergistic solutions for biodiversity conservation and climate mitigation, and empowering policy-making with robust, science-backed strategies for climate and biodiversity integration at both national and international scales.