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1. Green finance: practices aligned with climate change mitigation and co-benefits (e.g. water and biodiversity conservation), where the certainty of directional change is likely, but the impact level is not measured. For example, companies or loans using "green lists" of eligible practices; "good enough" methods (lowest requirements)
2. Results-based payments: payments based on defined climate mitigation result supported by an accounting systems that fosters confidence in results deliveredimpacts, although medium/high quantification uncertainty applies (intermediary requirements)
3. Carbon-credit markets: quantification of climate mitigation results following rules and procedures determined by protocols and standards under third-party verification (e.g. CDM, Verra and Gold Standard standards), which lowers uncertainties and increases credibility of results (highest requirements)

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1. Developing "green lists" of eligible practices (e.g. scientific literature review and experts consultation)
2. Using models/remote sensing for understanding soil C sequestration magnitudes and trends: choosing a model, technical requirements, caveats, assumptions and uncertainties  
3. Hybrid approachMoving to hybrid approaches: direct measurements with modeling/remote sensing 
   1. Optimal measurement strategy based on project/region characteristics and resources available
      1. activity data collection (e.g. use of smartphone, interviews)
      2. focus on few high-quality measurements (e.g. what to measure and how - sampling design; soil C and soil bulk density; frequency)
      3. prioritization (e.g. sampling design; soil C or bulk density; soil C determination method; use of pedo-transfer functions,...)
   2. Dealing with data gaps (e.g. scientific literature, experts consultation, global databases) 
   3. Choosing a model, model calibration, technical requirements and acceptable uncertainties
   4. Remote sensing: application and requirements 
   5. Co-benefits assessment (e.g. generating water/biodiversity indicators from/in conjunction with soil C measurements)
4. Aggregation aspects across larger scales to reduce project-level variation effects 
5. Setting up baselines (e.g. Baseline v. base year)
6. Verification type and frequency (credibility highest with third-party)

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