With our global population projected to reach 10 Billion by 2050, climate change and the need for sustainable food and natural resources production to meet future population demands presents a unique set of challenges.
We currently lack the level of detailed information required to enable the implementation of policies to address these multiple interrelated, challenges in an integrated manner and sensitive to time and geographical contexts.
Jointly funded by SFI and Microsoft, Terrain-AI is a direct response to this challenge, and aims to help understand the impact of human activity on land use and ultimately, as a driver of climate change for more sustainable land use.
The multidisciplinary research collaboration develops new cloud-based, automated work-flows and machine learning data toolsets for profiling and characterising environment types for more effective and precise carbon mitigation policies and practices.
Terrain-AI is advancing the standards of measurement, monitoring, verification and reporting of carbon stocks and emissions across complex environments. We are developing innovative AI solutions and technologies, integrated with computational models, to provide more accurate estimates of carbon fluxes across scales, and a deeper understanding of the effects of human activities, to enable decision makers to develop more effective climate mitigation strategies.