Who should use the Develop and Monitor Nature-Based Carbon Projects workflow?
Teams or solo builders working on environmental & sustainability tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Environmental & Sustainability
Leverage Earthshot Labs' AI-powered remote sensing and geospatial analysis to assess feasibility, conduct MRV, and manage financials for nature-based carbon projects, ensuring compliance with standards like Verra and Gold Standard.
Deliverable outcome
Carbon credits monetized and retired, completing the project cycle.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
Carbon credits monetized and retired, completing the project cycle.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Earthshot Labs to a ranked list of viable project sites with quantified carbon potential and risk scores. Then, you pass the output to Earthshot Labs to a complete pdd ready for validation by a third-party auditor. Then, you pass the output to Earthshot Labs to a registered carbon project with a unique id, eligible for future credit issuance. Then, you pass the output to Earthshot Labs to project activities initiated with verified baseline data and community buy-in. Then, you pass the output to Earthshot Labs to verified carbon credits issued to the project's registry account. Then, you pass the output to Earthshot Labs to a clear financial outlook for each project and a consolidated portfolio view for decision-making. Finally, Earthshot Labs is used to carbon credits monetized and retired, completing the project cycle.
Screen and Prioritize Land Parcels Using AI Remote Sensing
A ranked list of viable project sites with quantified carbon potential and risk scores.
Design Project Plan and Select Carbon Standard
A complete PDD ready for validation by a third-party auditor.
Validate and Register Project with Carbon Standard
A registered carbon project with a unique ID, eligible for future credit issuance.
Implement On-the-Ground Activities and Baseline Measurement
Project activities initiated with verified baseline data and community buy-in.
Perform Monitoring, Reporting, and Verification (MRV) with AI
Verified carbon credits issued to the project's registry account.
Model Financials and Manage Portfolio
A clear financial outlook for each project and a consolidated portfolio view for decision-making.
Issue and Sell Carbon Credits (Optional)
Carbon credits monetized and retired, completing the project cycle.
Upload or define candidate land boundaries in Earthshot Labs. Use AI-driven vegetation indices (e.g., NDVI, biomass density) and historical land-use change data to identify parcels with high carbon sequestration potential and low deforestation risk. Filter out areas with legal or ecological conflicts.
Why Earthshot Labs: Earthshot Labs directly provides satellite imagery access and AI analytics for screening and prioritizing land parcels for nature-based carbon projects.
Based on the screened site, choose an appropriate carbon standard (e.g., Verra VCS, Gold Standard) and project methodology (e.g., afforestation, avoided deforestation, improved forest management). Define project duration, baseline scenario, and monitoring frequency. Document the project design document (PDD) with inputs from Earthshot's geospatial data.
Why Earthshot Labs: Earthshot Labs includes project design modules and feasibility assessment, which align with designing a project plan and selecting a carbon standard.
Submit the PDD to an accredited validation/verification body (VVB) for review. Address any non-conformities. Once validated, register the project with the chosen carbon standard registry (e.g., Verra Registry) to obtain a unique project ID and enable future credit issuance.
Why Earthshot Labs: Earthshot Labs supports project feasibility and risk assessment, which is relevant to validation and registration with a carbon standard.
Execute land management activities (e.g., tree planting, conservation agreements) as per PDD. Establish permanent sample plots or use Earthshot's high-resolution imagery to collect baseline biomass and soil carbon data. Ensure community engagement and Free, Prior, and Informed Consent (FPIC) where applicable.
Why Earthshot Labs: Earthshot Labs provides tools for developing and monitoring nature-based projects, including data collection for baseline measurement.
Use Earthshot Labs' AI to automatically process satellite imagery at scheduled intervals, detecting changes in forest cover, biomass, and carbon stocks. Generate MRV reports with statistical confidence intervals. Submit reports to the VVB for periodic verification (e.g., every 2-5 years) and address any discrepancies.
Why Earthshot Labs: Earthshot Labs explicitly includes greenhouse gas accounting and MRV (Monitoring, Reporting, and Verification) capabilities.
Input verified carbon credit volumes, projected prices, and costs into Earthshot's financial model to calculate net present value (NPV), internal rate of return (IRR), and payback period. Manage multiple projects in a portfolio view, tracking credit sales, expenses, and buffer pool contributions. Adjust strategies based on market trends.
Why Earthshot Labs: Earthshot Labs includes project feasibility and risk assessment, which supports financial modeling and portfolio management for carbon projects.
After verification, request credit issuance from the registry. List credits on a carbon exchange (e.g., Xpansiv, CBL) or sell directly to buyers via bilateral contracts. Retire credits on behalf of buyers and provide retirement certificates. Track all transactions in Earthshot's portfolio.
Why Earthshot Labs: Earthshot Labs supports developing and financing nature-based carbon projects, which includes tracking credits for issuance and sale.
§ Before you start
Teams or solo builders working on environmental & sustainability tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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