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]

4.1   Remote sensing observations Previous topic Parent topic Child topic Next topic

The MGD anticipates that medium- and high- spatial resolution optical and radar data will be the main types of remotely sensed data used in the estimation of REDD+ activities. Currently there is most experience with using medium resolution optical data. This is because:
  • there is experience in the use of data of this type by countries in making national emissions estimates from deforestation and from other KP LULUCF activities
  • Landsat provides an historical archive of data of this type back to the early1970s and, given the successful operations of Landsat 8 as well as Sentinel 2A, there is the prospect of continuing availability of data for the foreseeable future
  • Landsat data are acquired globally and are freely available in pre-processed form (which is also planned for Sentinel 2A), and new techniques in data mining or compositing can do much to mitigate problems of interference by cloud cover. Visual interpretation can also help increase accuracy where there is poor temporal coverage due to cloud.
The CEOS Space Data Coordination Group has worked for GFOI with the world’s largest providers of Earth observation data to ensure that all countries can have access to the satellite data required for national forest monitoring and annual reporting of greenhouse gas emissions. The CEOS website has up-to-date information on optical and radar data including spatial and temporal resolution and availability and identifies core data sets which are freely available via the SDCG Opens in new window. The main data types are described below.