Reducing Government Costs and Increasing Access to Greenspaces in the United Kingdom with DINO
Meta AI's open-source computer vision model, DINOv2, is being used by Forest Research in the UK to improve the accuracy of tree canopy mapping. This collaboration aims to support the UK government's environmental goals, including increasing tree canopy cover and ensuring access to greenspaces. The DINOv2 model, trained on millions of satellite images, enables the detection of individual trees at a global scale, offering a more cost-effective and precise alternative to traditional monitoring methods like LiDAR. AI
IMPACT Enhances environmental monitoring capabilities, supporting government policy and reforestation efforts with more accurate and cost-effective tree mapping.