Pemberton launches biodiversity monitoring tool with ESA funding

Pemberton, a female-founded AI start-up focused on nature positivity, has secured €800,000 in funding for an 18-month project aimed at developing a new mathematical model for biodiversity monitoring. This initiative is co-funded by the European Space Agency under the ARTES 4.0 Business Applications – Space Solutions program. The project will utilize a model that incorporates fractals and the Duckworth Lewis Method to analyze complex interactions within large multidimensional datasets related to environmental data. The collaboration involves key partners such as Ordnance Survey, Sainsbury’s, and West Berkshire Council, who will assist in demonstrating mapping products and integrating the biodiversity monitoring system into sustainability efforts. The project aims to ground-truth the model through extensive ecological surveys conducted with landowners across the UK, ensuring the model's accuracy and effectiveness in real-world applications. The innovative model is designed to enhance transparency across various data sources, including sensor systems, field surveys, and climate metrics. It leverages geospatial data and remote sensors, building on previous successful testing in terrestrial habitats funded by the European Union. This earlier project was recognized as the Best Feasibility Study by the European Space Agency in 2022. Ultimately, this breakthrough in automated data processing is expected to have significant implications not only for environmental monitoring but also for other sectors, showcasing the potential of advanced data analysis techniques in understanding and preserving biodiversity over time and space.