Spatial + Temporal Scope [MGD Sections]
Institutional arrangements and REDD+ decisions
UNFCCC decisions and requirements
Relationship to UNFCCC
GHGI coverage, approaches, methods and tiers
Design decisions relevant to national forest monitoring systems
Land cover, land use and stratification
Forest reference emission levels and forest reference levels
Estimation methods for REDD+ activities
Integration frameworks for estimating emission and removals
Guiding principles – Methods and approaches
Remote sensing observations
Ground-based observations
Guiding principles – Remote sensing and ground-based observations
Activity data
Emissions/removals factors
Reporting and verification of emissions and removals
Financial considerations
Country examples – Tier 3 integration
Use of global forest change map data
UNFCCC decisions and requirements
Relationship to UNFCCC
GHGI coverage, approaches, methods and tiers
Design decisions relevant to national forest monitoring systems
Land cover, land use and stratification
Forest reference emission levels and forest reference levels
Estimation methods for REDD+ activities
Integration frameworks for estimating emission and removals
Guiding principles – Methods and approaches
Remote sensing observations
Ground-based observations
Guiding principles – Remote sensing and ground-based observations
Activity data
Emissions/removals factors
Reporting and verification of emissions and removals
Financial considerations
Country examples – Tier 3 integration
Use of global forest change map data
REDD+ Activities [MGD Sections]
Institutions involved in measurement, reporting and verification
Measurement, reporting and verification processes
UNFCCC decisions and requirements
IPCC good practice guidance
Design decisions relevant to national forest monitoring systems
Estimation methods for REDD+ activities
Integration frameworks for estimating emission and removals
Reporting and verification of emissions and removals
Use of global forest change map data
Measurement, reporting and verification processes
UNFCCC decisions and requirements
IPCC good practice guidance
Design decisions relevant to national forest monitoring systems
Estimation methods for REDD+ activities
Integration frameworks for estimating emission and removals
Reporting and verification of emissions and removals
Use of global forest change map data
LULC Stratification Scheme [MGD Sections]
UNFCCC decisions and requirements
UNFCCC decisions and requirements
Design decisions relevant to national forest monitoring systems
Estimation methods for REDD+ activities
Integration frameworks for estimating emission and removals
Selecting an integration framework
Practical considerations in choosing an integration tool
Remote sensing observations
Global forest cover change datasets
Ground-based observations
Guiding principles – Remote sensing and ground-based observations
Activity data
Maps of forest/non-forest, land use, or forest stratification
Reporting and verification of emissions and removals
Guiding Principles – Reporting and verification of emissions and removals
Financial considerations
Sampling
UNFCCC decisions and requirements
Design decisions relevant to national forest monitoring systems
Estimation methods for REDD+ activities
Integration frameworks for estimating emission and removals
Selecting an integration framework
Practical considerations in choosing an integration tool
Remote sensing observations
Global forest cover change datasets
Ground-based observations
Guiding principles – Remote sensing and ground-based observations
Activity data
Maps of forest/non-forest, land use, or forest stratification
Reporting and verification of emissions and removals
Guiding Principles – Reporting and verification of emissions and removals
Financial considerations
Sampling
Forest Definition [MGD Sections]
Institutional arrangements and REDD+ decisions
UNFCCC decisions and requirements
IPCC good practice guidance
Design decisions relevant to national forest monitoring systems
Definition of forest
Land cover, land use and stratification
Forest reference emission levels and forest reference levels
Estimation methods for REDD+ activities
Remote sensing observations
Global forest cover change datasets
National forest inventories
Activity data
Reporting and verification of emissions and removals
UNFCCC decisions and requirements
IPCC good practice guidance
Design decisions relevant to national forest monitoring systems
Definition of forest
Land cover, land use and stratification
Forest reference emission levels and forest reference levels
Estimation methods for REDD+ activities
Remote sensing observations
Global forest cover change datasets
National forest inventories
Activity data
Reporting and verification of emissions and removals
Carbon Pools [MGD Sections]
IPCC good practice guidance
Significance and key category analysis
Design decisions relevant to national forest monitoring systems
Activity data x emission/removal factor tools
Fully integrated tools
Ground-based observations
Emissions/removals factors
Above- and belowground biomass
Dead wood and litter pools
Soil organic carbon
Emissions from prescribed fires and wildfires
National choices in emissions and removals factor estimation
Emission and removal factor uncertainties
Estimating total emissions/removals and its uncertainty
Guiding principles – Estimation and uncertainty
Financial considerations
Sampling
Country examples – Tier 3 integration
Brief review of the potential for estimation of biomass by remote sensing
mgd_Appendix_H
Significance and key category analysis
Design decisions relevant to national forest monitoring systems
Activity data x emission/removal factor tools
Fully integrated tools
Ground-based observations
Emissions/removals factors
Above- and belowground biomass
Dead wood and litter pools
Soil organic carbon
Emissions from prescribed fires and wildfires
National choices in emissions and removals factor estimation
Emission and removal factor uncertainties
Estimating total emissions/removals and its uncertainty
Guiding principles – Estimation and uncertainty
Financial considerations
Sampling
Country examples – Tier 3 integration
Brief review of the potential for estimation of biomass by remote sensing
mgd_Appendix_H
Approaches Methods + Tiers [MGD Sections]
Institutional arrangements and REDD+ decisions
IPCC good practice guidance
GHGI coverage, approaches, methods and tiers
Significance and key category analysis
Estimation methods for REDD+ activities
Integration frameworks for estimating emission and removals
Guiding principles – Methods and approaches
Activity data
Emissions/removals factors
Estimating total emissions/removals and its uncertainty
Guiding principles – Estimation and uncertainty
REDD+ requirements and procedures
Financial considerations
Sampling
Country examples – Tier 3 integration
Use of global forest change map data
IPCC good practice guidance
GHGI coverage, approaches, methods and tiers
Significance and key category analysis
Estimation methods for REDD+ activities
Integration frameworks for estimating emission and removals
Guiding principles – Methods and approaches
Activity data
Emissions/removals factors
Estimating total emissions/removals and its uncertainty
Guiding principles – Estimation and uncertainty
REDD+ requirements and procedures
Financial considerations
Sampling
Country examples – Tier 3 integration
Use of global forest change map data
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5.2.6 Emission and removal factor uncertainties
Where default values are used, uncertainties for emission and removal factors and other parameters are available from GPG2003 (or 2006GL and the Wetlands Supplement), and for Tier 2 and 3 methods will be generated as part of the sampling process. When based on probabilistic sampling, the emissions/removals factors and their uncertainty can be calculated using two broad methods, depending on whether the emission or removal factor corresponds to the difference of carbon densities between strata, or to the change in carbon density of a given stratum over time. The focus of this section is on changes in biomass carbon, non-CO2 emissions/removals can be calculated analogously if they have also been measured as part of the sampling program.