Harnessing a deep foundation of ecosystem science, we bring much needed rigor to our projects by merging advanced ecological models, on-the-ground observations, satellite data, and AI, to guide projects to success and significantly reduce ecological uncertainty.
In the realm of forest conservation and restoration, science is our guiding star. By leveraging cutting-edge research and innovative technologies, we bring precision and effectiveness to every project. Our advanced ecological models, satellite imagery, and AI-driven analytics augmented by our extensive internal database of restoration outcomes, enable us to understand project potential, accurately quantify risks, and design ecologically sound strategies. This scientific rigor quantifies the real impact of ecosystem restoration and conservation, while deepening our understanding of forest ecosystems.
Tech enabled, project centered
At the heart of our approach is a suite of cutting-edge technologies designed to elevate every project to its fullest potential. Our human-in-the-loop machine learning system, ForestLoop, enables rapid and precise characterization of multiple dimensions of a project landscape. Complementing this is LandOS, our comprehensive platform for project diligence, and SimEarth, our advanced science workflow center. Together, these tools empower us to make highly localized inferences and conduct accurate assessments swiftly and robustly. By integrating these technologies with our ecosystem science foundation we ensure each project is not only executed with exceptional precision but also tailored to meet the unique needs of its environment.
Reforestation and agroforestry
At Earthshot, we harness the power of advanced science and technology to bring rigor to forest restoration and agroforestry. Using models like CLM-FATES, combined with our internal database of restoration outcomes, to predict carbon and vegetation dynamics, minimizing subjective bias and de-risking investments in nature-based solutions. Our innovative tools, such as LandOS, enable rapid and accurate characterization of project landscapes, while automated geospatial analyses accelerate project development. This approach provides robust GHG accounting and actionable insights, guiding communities towards impactful interventions for ecological restoration, the climate, and local economic benefits. By integrating state-of-the-science analyses with streamlined automation, our work supports effective restoration efforts that deliver meaningful and lasting impacts.
Tools like ForestLoop and LandOS enable us to quickly identify high-impact areas, assess risks, and design strategies with precision. By combining automated geospatial analyses with our extensive expertise, we empower communities to make informed decisions that promote ecological restoration and local economic growth. This rigorous, tech-enabled methodology ensures that our REDD+ projects are not only effective in reducing emissions but also sustainable and beneficial for all stakeholders involved.