Uncertainty [MGD Sections]

UNFCCC decisions and requirements
IPCC good practice guidance
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
Quality assurance and quality control
Guiding principles – Requirements and design decisions
Estimation methods for REDD+ activities
Integration frameworks for estimating emission and removals
Selecting an integration framework
Activity data x emission/removal factor tools
Fully integrated tools
Practical considerations in choosing an integration tool
Guiding principles – Methods and approaches
Remote sensing observations
Coarse resolution optical data
Medium resolution optical data
High resolution optical data
L-band Synthetic aperture radar
C-band and X-band SAR
LIDAR
Global forest cover change datasets
Ground-based observations
National forest inventories
Auxiliary data
Guiding principles – Remote sensing and ground-based observations
Activity data
Methods for estimating activity data
Maps of forest/non-forest, land use, or forest stratification
Detecting areas of change
Additional map products from remote sensing
Estimating uncertainty of area and change in area
Estimating total emissions/removals and its uncertainty
REDD+ requirements and procedures
Reporting forest reference emission levels and forest reference levels
Technical assessment of forest reference emission levels and forest reference levels
Reporting results of REDD+ activities
Technical analysis of the REDD+ annex to the BUR
Additional advice on REDD+ reporting and verification
Guiding Principles – Reporting and verification of emissions and removals
Financial considerations
Country examples – Tier 3 integration
Use of global forest change map data
Relative efficiencies
Developing and using allometric models to estimate biomass

Record Keeping [MGD Sections]

Integration + Estimation [MGD Sections]

Ground Based Observations [MGD Sections]

5.1.1   Methods for estimating activity data Previous topic Parent topic Child topic Next topic

For estimating activity data, maps serve multiple purposes. First, subject to classification error, they depict the general spatial distribution of land attributes in general and forest resources in particular. Second, maps that depict forest-related classes or that can be aggregated or converted to forest-related classes can serve as the basis for stratification. Maps depicting forest classes and particularly forest change classes can be used to support construction of stratified sampling designs for purposes of estimating activity data. Third, maps of continuous variables such as percent forest canopy cover and even biomass can be used directly with model-assisted methods to estimate rates of forest change and can be aggregated to produce forest class maps.
Factors that influence a country’s decisions concerning which data and methods to use for assessing activity data include the nature of the forests in the country, forest management practices, availability of various kinds of satellite data, existing satellite image analysis capabilities, availability of ground-based data and general level of technological capacity. Spatial resolution, annual observations of forest disturbances, and attribution of land-cover changes by disturbance type all influence activity data uncertainty (Mascorro et al., 2015).