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]

4.2.3   Auxiliary data Previous topic Parent topic Child topic Next topic

Auxiliary data are data often made available through the NFMS, National Forest Inventories or other national resources agencies which can play an important role in estimating emissions and removals from REDD+ activities by providing additional context for detected (or predicted changes). Auxiliary data sets can also come from neighbouring countries where similar forest types exist where there is an absence of country specific data(1). Auxiliary data may include disturbance histories, land tenure, forest management plans, harvest statistics, fire area data, wood fuel extraction data (or rate of wood energy for cooking), forest health surveys and pest impact data. It can also include biophysical measures such as climate, soil type, elevation and slope.

Box 21: Example of the use of auxiliary data

A common example of the utility of auxiliary data relates to logging, which could indicate deforestation, forest degradation or be part of sustainable forest management activities. In this case auxiliary data on the existence of sustainable forest management plans, the extent of their application and the location of concessions could help with interpretation.

 (1)
In the absence of National data, regionally relevant data can be a substitute. For significant sources and sinks, the collection of national specific data should be prioritised.