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  1. Developing practice-based indicators (e.g. scientific literature review and experts consultation)
  2. Using models - chosing a model, technical requirements, caveats, assumptions and uncertainties  
  3. Hybrid approach: direct measurements with modeling/remote sensing. 
    1. Optimal measurement strategy based on project/region characteristics and resources available (e.g. how to focus on few high-quality measurements)
      1. prioritization if needed (e.g. sampling design; soil C or bulk density; soil C determination using routine analysis or dry-combustion; use of pedotransfer functions)
    2. Dealing with data gaps (e.g. scietific literature, experts consultation, global databases) 
    3. Chosing a model, model calibration, technical requirements and acceptable uncertainties
    4. 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)

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