Earthshot Labs

Earthshot Labs is a platform dedicated to developing and financing nature-based carbon projects. The company provides tech-enabled carbon development and cutting-edge scientific predictive analytics to support every stage of a carbon project. Earthshot Labs offers Scoping Reports and Recommendations to assess potential project areas and their viability, and conducts Pre-Feasibility and Feasibility Study Reports for REDD+, ARR, and IFM. They offer customized strategic carbon accounting advisory for supply chain, monitoring and evaluation strategy for third-party verification, and remote sensing study design for insetting pilots. Utilizing state-of-the-art ecosystem analytics, Earthshot Labs enhances risk and return assessment and streamlines project development. The company leverages advanced carbon forecasting for biomass growth and natural risk assessment through its platform, LandOS, which provides forest growth, drawdown forecasts, risk, and financial analysis. Earthshot Labs aims to scale reforestation and conservation globally to address ecological and climate crises, with a mission to shift land use so that 50% of the earth’s land surface consists of protected natural ecosystems. They use AI/ML and land surface models to create accurate future projections of carbon sequestration and offer comprehensive project due diligence and support through LandOS. Earthshot Labs applies AI, machine learning, and ecosystem physics modeling to global ecosystem restoration, combining empirical models with land surface process models for forest growth modeling. They use global models based on observations of historic impact and Earth System Model projections to quantify natural risks like fire, drought, and disease. Their REDD+ Scoping automation allows for quick and simplified assessments of project feasibility and quality, and their Deforestation Risk Tool uses satellite imagery to quantify land eligibility, deforestation baselines, and risk. Earthshot Labs uses space-based observations to improve estimates of carbon stocks and biomass changes, and they focus on creating and protecting biodiverse native ecosystems rather than monocultures. Their Biome app allows users to remotely measure trees using on-the-ground observations and databases of tree structure and species identification. They visualize reforestation outcomes using generative adversarial networks to show potential landscape changes and offer an open-source Python package, Earthshot_Model_Utilities, for data preparation and carbon accumulation curve generation. Earthshot Labs’ projects are rich in co-benefits, including enhancing biodiversity, restoring watersheds, increasing ecosystem resilience, and creating local jobs.