WRI has partnered with Meta to develop an AI foundation model to produce the world’s first global map of tree canopy height at a 1-m resolution, allowing the detection of single trees at a global scale.
Improving the measurement, reporting, and verification of forest-based carbon removal projects will improve their quality and accelerate the growth of nature-based climate solutions. Restoration projects present an increased challenge to monitor because monitoring young or sparse trees (such as in agroforestry) or small project areas (such as in community-led efforts) requires individual tree-scale sensitivity.
By lowering the barrier to forest monitoring solutions and providing reliable data, we can enable small landowners to access carbon markets and increase the number of community-led carbon removal projects.
WRI’s Global Restoration Initiative is partnering with governments, businesses, and communities around the world to restore millions of hectares of deforested and degraded land.
WRI’s Land and Carbon Lab is a network of researchers, technologists, and engagement experts working together to build a comprehensive, open access monitoring system that will provide unprecedented transparency about what is happening to the world’s land anywhere on the planet, at any time.