Monitoring, Reporting and Verification
System (MRV) in Bangladesh
Md. Abdul Latif Mia
17 September 2014
Basic Facts
Population: 160 M
Population Density: 1015 per sq KM
Per capita GDP: 838 USD
Area: 147,570 Sq KM
Forest Area: 2.6 M Hectres
GDP Growth Rate: 6%
Total Emission: 59,608 Gg
Emission from LUCF: 18,026 Gg
MRV context of the Country
National Forest Inventory (NFI): the previous NFI has not
covered some forest type (the sampling strategy did not
covered some forest types)
Forest Monitoring System (FMS): one national forest cover
assessment was performed (coarse resolution), and several
sub-national land cover assessment (not compatible
between each other)
Green House Gas Inventory (GHG-I): mainly performed by
contracting external resources
1. General aspects of the monitoring system
Emission Factors
There is no regular national forest inventory to provide emission
factors
Emission Factors – Methodology use for current estimation
Types of Carbon pool
Tier Level
Aboveground biomass
Tier 3
Underground biomass
Tier 3
Litter
Tier 3
Dead wood
Tier 3
Soil
Tier 3
Comments: These carbon pools were only calculated for Sundarban
Reserved Forest and other 6 protected areas under a project but for
the other forest areas no such estimation is available
Experience at National Level
National Forest Inventory (NFI):
• NFI conducted for the first
time in 2005-06
• NFI has not covered some
forest type (the sampling
strategy did not covered
some forest types)
Inland
Water
13.7%
Forest
9.8%
Build up
area .7%
Villages
19.4%
Source: NFA 2007
Cultivated
Land
56.4%
Experience at Sub-national Level
Detailed inventories were conducted in different forest types in
different year under different project using different methodologies.
They are:
• Inventory of the Hill Forests (1958-60, 1984-85, 1996-97)
• Inventory of the Plain land Sal Forests (1984-85, 1999-2001)
• Inventory of the Sundarban Reserved Forests (1958-60, 1984-85,
1996-97)
• Inventory of the Coastal Afforestation (1996-97)
Activity data
During the 1st and 2nd National Communication, Approach 1 (total area of
each land category estimated, but area of conversions not provided, and
non-spatial) was used for GHG reporting
Forest Monitoring System:
• Project based monitoring
• one national forest cover
assessment was performed
using the Landsat of 2004-05
• several sub-national
assessment conducted under
different project using
different methodology in
different time
Experience at sub-national Level in Sundarban
• Mid to very high resolution
satellite imageries was
used for the assessment
of the forest areas in
different times
• SRF assessment and
mapping was done using
aerial photo of 1960, 1981,
1995 and IKONOS imagery
of 2012
• No accuracy assessment
was done
Other experiences at Sub-national Level
Assessment was done in different forest types using aerial photographs
and satellite imageries in different year under different project. They
are:
• Assessment of the Hill Forests (part)(1958-60, 1998, 2013) (Aerial
photo, SPOT 4, IKONOS and Rapid eye)
• Assessment of the Plain land Sal Forests (1984-85, 2013) (Aerial
photo and IKONOS)
• Assessment of the Sundarban Reserved Forests (1960, 1985,
1998, 2013) (Aerial photo and IKONOS)
• Assessment of the Coastal Afforestation (1992, 1997, 2013 )
(Aerial photo and Rapid eye)
• Several other assessment was done for the protected areas using
satellite imagery (Landsat, SPOT, LISIII, LISSIV, Geoeye)
Future Plan - Successful implementation of the Readiness
Preparation Proposal (R-PP)
Component 3: Reference emission levels and reference levels
developed
Output16. Capacities for the development of Reference Emission
Level strengthened.
Output17. National circumstances considered for RELs/RLs.
Output18. National forest monitoring systems established
Component 4: National forest monitoring system and safeguards
information system developed
Output19. Capacities to implement the GHG inventory for the
forest sector strengthened
Output20. National Satellite Forest Monitoring System established;
Output21. National Forest Inventory Designed and established.
Output22. Scientific research on key issues enhanced.
Output23. MRV Implementation Support
Output24. Integrated forest information system developed
Output25. Information systems for measuring multiple-benefits,
other impacts, governance and safeguards established
prior to R-PP development
• Three national multi-stakeholder
workshops
• Five regional multi-stakeholder
workshops
• Village-level consultations
• National ‘way forward’
workshop
• About 700 individuals
directly involved in
consultations
 R-PP Approved by the Policy Board of UN-REDD Programme in
December 2013
 R-PP included all the activities related to development of
Emission factors and monitoring system
 R-PP is used to develop the projects
2. Way forward for the development and implementation of
MRV & monitoring
 One project has been designed for the calculation of emission factor
and generation of activity data with the help of Silva Carbon & FAO, is
supposed to be started during the end of 2014
 Parallel Implementation of National Programme under UN-REDD
Programme, is supposed to be started in October 2014
 capacity building for field inventory and geospatial data processing is
on going activity under a project
 sustainable support for the capacity building
 flow of funding
 Exchange of knowledge, views and experiences for the development
of a operational MRV system