Land & Carbon Lab
Convened by World Resources Institute and the Bezos Earth Fund to develop breakthroughs in geospatial monitoring that power solutions for sustainable landscapes worldwide.
Human activities are transforming natural landscapes across the planet at an accelerating rate, contributing to climate change, biodiversity loss and growing pressure on the land that sustains us. Addressing these challenges requires reliable, accessible and timely information on how land is used and how it changes over time in order to strengthen decision-making, accelerate action and guide solutions that benefit people, nature and the climate.
At Land & Carbon Lab, this is what we are working on — harnessing the latest AI technology and satellite information to create data that provides unprecedented transparency about the world’s land and nature-based carbon. Through our team of leading scientists, technologists and engagement experts, we produce open, peer-reviewed data that reveals how landscapes are shifting and what drives those changes, supported by advanced modeling and machine learning. With this, governments, businesses, researchers, civil society, and Indigenous Peoples and local communities can make informed decisions, shape policies and take action to improve land management, guide restoration and safeguard ecosystems. Our research expands monitoring beyond forests to include grasslands, wetlands, croplands and urban areas — ecosystems that are critical for biodiversity, food security and climate stability, but often overlooked.
Our research has already revolutionized how land and ecosystem change can be measured and understood. Now we are entering the next frontier in monitoring with Global Nature Watch, a groundbreaking AI-powered system designed to make this science faster and more accessible to everyone working to monitor and restore nature. Built on data from Land & Carbon Lab, Global Forest Watch and LandMark, Global Nature Watch brings insights together in a simple chat-style interface where users can ask questions in plain language and receive authoritative answers supported by satellite imagery, maps, statistics and context.