This session targets GFW partners working at a national level and those interested in increasing the relevance of GFW for national/local stakeholders. Discussion topics include: How are GFW partners working to “nationalize” GFW data and technology to support forest management, law enforcement, land use planning, and reporting on forest-related commitments? What more can be done to facilitate these efforts?

1. GFW PARTNERSHIP MEETING
WASHINGTON, DC | FEBRUARY 8TH & 9TH
PHOTO: CIFOR #GFWPartners17

2. #GFWPartners17Presenters: Laura Vary, Peter Potapov, Eric Kaffo Nzouwo, Natalia Gomez, Hernando Ovalle Serrano and Taryn Sanchez
PARALLEL DISCUSSIONS 2:
GFW AT THE NATIONAL LEVEL

3. GFW at the National Level
Laura Vary

4. Agenda
• Intro (10 min): Laura provides a brief overview of what needs we have
addressed in the past, and how we are addressing them now
• “Nationalizing” UMD data: Peter Potapov - UMD (10 min)
• Lightning talks from partners (5 min each)
• Cameroon government
• Ambiente y Sociedad (Colombia)
• Reforestamos Mexico
• Regional breakout groups (40 min)
• French-speaking Africa region (facilitated by Laura and Thomas)
• Spanish-speaking Latin America region (facilitated by Ruth and
Jessica)
• English-speaking Asia (and other) region (facilitated by Fred)
• Large group discussion (30 min)
• Wrap up and Poll Questions (15 min)

5. What have we done to meet user’s needs
Develop New options on GFW website:
1. Develop my-GFW: View and Manage subscriptions
2. Better Translations
3. How to Portal
4. Upload own data
5. Developing new country pages
Develop new tools targeting priority countries:
1. Develop National Atlas using MapBuilder: off-line, national language, customize
2. Piloted Tree-cover change Nationalize datasets
3. Forest watcher and Rapid Response Network
Continued support for:
1. Deep, long-term engagements (local staff based in-country supporting the
ministry).
2. Small grant fund

6. How does this make a change – Theory of change
Can these changes (mapbuilder, nationalized change
data, forest watcher) move GFW from a global
impactful initiative to a Global AND country
impactful initiative where GFW technology can be
used officially
6

7. Purpose: GFW to local decision-makers using mobile
technology
Goal: Improving forest conservation on the ground
FOREST WATCHER APP

9. UGANDA WILDLIFE AUTHORITY
“With Forest Watcher
and global Forest
Watch, we can now
have intelligence-led
patrols in Kibale
National Park. We no
longer go randomly to
places, but instead
know where to look for
the latest forest loss.”
-Senior Monitoring and
Research Officer, Uganda
Wildlife Authority, Kibale
National Park

10. Rapid Responders
Near real
time data
Law
enforcement
Local NGOs
Indigenous
peoples/local
communities
Journalists
3rd party
monitors/
certification
International
NGOs
Photo: African Conservation Foundation

11. History – Forest Atlas

12. Early successes - Cameroon
• Identifying illegal
logging activities in
unallocated forest
concessions

13. Early successes - DRC
• Evaluation of logging
concessions against
legal requirements
• 91 Concessions (12.7
Mio hectares)
suspended

14. GFW 2.0 – Game changer
• Detecting deforestation
and fires in near-real
time - globally

15. Integrating GFW Analysis into Forest Atlas
• Main GFW
functionalities are now
available in the Forest
Atlas

16. Challenges
• Currently 9 Forest
Atlas countries
• By the end of 2017
there will be 16
• How to scale?

17. GFW Mapbuilder
• Easy to use web map
template
• Based on ArcGIS
online
• Very easy to
configure and
customize
• Ships with all GFW
and Restoration
analysis

18. Regional Group Discussions
• French speaking region
• Spanish speaking region
• English speaking region
• Discussion Questions:
• What are the most urgent needs for
the work you do in terms of data and
information on forests? How do GFW
tools and datasets help address those
needs and how do they not?
• What are the major barriers to using
GFW data and how do we solve
them? Some past examples of
barriers: internet access, willingness
to share data, lack of
training/knowledge in the tools and
datasets, data not
detailed/accurate/timely enough.

19. Using Global Forest Monitoring Data and
Methods at the National Scale
Peter V. Potapov
Global Land Analysis and Discovery Lab
University of Maryland, College Park
The 4th annual Global Forest Watch Partnership Meeting
Washington D.C., February 8-9 2017

20. Global Operational Forest Monitoring
Landsat-based operational monitoring of global forest cover is a flagship project
performed by GLAD since 2012. The project is a collaboration with Google, the
World Resources Institute, and the Global Forest Watch.
Annual gross forest cover loss

21. Spatial and temporally consistent Landsat surface reflectance data time-series provides
the basis of annual forest monitoring. The same source data and methods may be
employed at the national scale by forest monitoring and management agencies.
Cloud-free Landsat data time-series
Global Operational Forest Monitoring

22. National Forest Monitoring
National Forest Inventory and
Land Management
• Quantification and monitoring of forest
resources.
• Land cadaster and management.
• Assessment of forest ecosystem services.
GHG Emissions Reporting,
NFMS for REDD+ activities
• Measurement of the reference
emission/deforestation levels.
• Operational monitoring of forest cover
change for emissions reporting.
Goals
Requirements
• Fast, low-cost, easy to implement data processing and analysis methods.
• Reporting format and timing is aligned with national forest policies and suitable to
quantify their effects.
• Methods and data transparency.
• Spatial and temporal consistency, within and between countries.
• Known uncertainty. Accuracy is suitable for MRV.
Objective
Providing timely spatial information on forest area and forest area change

23. Using Global Data at National Scale
Direct area
extraction from
the global map
Wrong way
Global forest extent and change products provides spatially consistent, wall-to-wall data…
However:
• All maps derived from remotely sensed data contain errors due to data limitation,
classification/change detection algorithm limitation, analyst errors and bias, etc.
• Errors on the global overview maps usually introduce bias in area estimations. Most of
the overview maps provide “conservative” estimates of rare classes, i.e. they
underestimate forest change.
• The global map errors may be spatially biased (e.g. due to different characterization
model sensitivity within different environments).
• The uncertainty of classification may not be estimated from the map alone.

24. Using Global Data at National Scale
Statistical
sampling
Good practice
Sample-based:
• Map accuracy
• Area
• Uncertainty
Spatially exhaustive (wall-to-wall) maps
• Provide information on spatial allocation of forest cover and change
• Allow sampling design/area estimation with improved efficiently and precision
Sample-based assessment (reference sample data)
• Provides highest quality determination of the forest cover and change conditions
per sample unit
• Serves as reference data for map accuracy assessment
• Allows unbiased area estimation with known uncertainty

25. Sampling Design
Broich et al. (2009)
0
100
200
300
400
500
600
Samplesize n = 520
Systematic
sampling
Stratified
sampling
Number of samples
required to achieve the
same uncertainty level
(+/- 18% at 95% confidence)
Based on PRODES data analysis
n = 325
n = 55
Simple
random
sampling
Wall-to-wall forest cover and
change products may be used
to create a stratified
sampling design which is
much more efficient that
random or regular sampling:
• Lower uncertainty of
sample-based
estimate;
• Smaller number of
samples needed;
• Reduce requirement
for commercial high
spatial resolution
data.

26. Reference Data
Two-stage cluster sampling design to
reduce high spatial resolution data cost
Landsat
2000
Landsat
2011
Forest cover loss within
primary humid tropical
forests, 2000-2011
Stratified sampling design
(sampling grid of 12x12 km
blocks, 30 blocks sampled)
RapidEye
2011
Total number of 12x12 km blocks within humid tropical
forests: 5532. Sampled blocks: 30 (0.5%).
Forest loss area estimated with SE of +/- 6.6%.
Mapped loss area is 15% lower than the sample-based area.

27. National Forest Monitoring
Circa 2000 image composite Circa 2011 image composite
GLAD
spectrally,
spatially, and
temporally
consistent
wall-to-wall
national data
CLASlite scene-based national data compilation

28. National Forest Monitoring
Logging monitoring in Republic of the Congo, 2014
Forest cover change update for Peru by MINAM,
annually 2000-2011, 2013, 2014, ongoing…

29. National Forest Monitoring
UMD GLAD, GFW
National Agency
• Annual spectral time-series data
• Annual global forest cover change
• Landsat image archive
• Automated image processing
Annual spectral data + Hardware/software complex for data characterization
• National forest cover, forest type, structure, and change maps.
• Operational annual forest cover monitoring.
• Near-real time monitoring (using GLAD ALERT data).
• Activity (forest change with known uncertainty) data reporting, emissions estimation.
GLAD method benefits
• Globally spatially and temporally consistent time-series input data (free-of-charge).
• Efficient data characterization methods and tools (for mapping and sampling).
• Harmonization of input data and products between agencies and regions.
• Timely national reporting, uncertainty assessment.
• In-country data characterization that ensure complete product ownership and replicability.

30. Using GLAD Methods at National Scale
Country/Region Project Partners/Donors
Peru
Forest monitoring in support of REDD+ and IPCC GHG
reporting, 2000-current. Operational forest monitoring.
MINAM, SilvaCarbon
Colombia
Comprehensive land-cover monitoring for IPCC GHG
reporting. 2000-ongoing.
IDEAM, SilvaCarbon
Ecuador Forest cover change quantification 2000-2011. SilvaCarbon
Mexico Forest extent, structure, and change assessment, 1985-2014 CONABIO
Mesamerica Forest cover change quantification 1985-2015 in support of
REDD+.
NASA SERVIR, RFF
Democratic Rep. of
the Congo
Forest monitoring 2000-current, forest type mapping,
habitat modelling.
USAID, OSFAC, JGI
Rep. of the Congo Forest monitoring 2000-current, forest type mapping. USAID, CNIAF
Cameroon Forest monitoring 2000-current. USAID, SilvaCarbon
Vietnam National forest monitoring in support of NFI FIPI, SilvaCarbon
Bangladesh Tree canopy cover monitoring 2000-current in support of
REDD+ and NFI.
RIMS, SilvaCarbon
Low Mekong Forest extent, structure, and change assessment, 2000-
current, in support of RLCMS.
NASA SERVIR, ADPC
Indonesia Forest cover change quantification 1980-2000, forest
monitoring system, wetlands mapping.
CLUA, USFS, MoF, LAPAN

31. National Forest Monitoring
National forest atlases
Regional web-based maps and datasets
Software use and image analysis training
Joined peer-reviewed publications
Peru
Bangladesh
Vietnam

32. Annual Global Forest Watch Meeting
Washington, 09 February 2017
By
Eric KAFFO NZOUWO
Sub Director of Inventories and Forest Management
Ministry of Forestry and Wildlife
Cameroon
MINFOF
The Forestry Cadaster of
Cameroon

33. Plan
1. Presentation of Cameroon
2. Forestry mapping
3. Land use conflicts
4. Development of the national land use
planning schema
5. Forest Monitoring Unit
MINFOF

34. Presentation of Cameroon
Area of Cameroon: 47,565
million ha
Forest area: 22 million ha
Types of forests:
• permanent forests which
are forest lands allocated
to the forest and / or
habitat of the fauna
• non-permanent forest
which are forest lands that
may be allocated to other
uses
Decree No. 95-678 / PM
of 18 December 1995
establishing an indicative
framework for forest land
utilization. This lead to the
mapping of permanent
and non permanent
forests
34
MINFOF

35. Forestry mapping
MINFOF
The database of forest land allocation is
available at MINFOF and its updating
allows each year, the production of the
land-use map and the platform of the
interactive forest atlas (cmr.forest-
atlas.org ), with the support of WRI.
The situation of forests at this date is as
follows:
• Protected areas: 3,953,255 ha
• Hunting areas: 4,125,797 ha
• Community hunting areas: 1,535,158
ha
• Forest Management Units: 6,853,206
ha
• Forests reserves under management:
98,994 ha
• Communal forests: 1, 411,617 ha
• Community forests: 1,115,615 ha
• Sales of Standing Volume: 213,574 ha
This database also allows mapping of
other forest land uses such as:
• Flooding sites for hydroelectric dams
• Mining Permits
• Sites for agro-industrial plantations

37. Land use conflits
• Land uses like Mining and
Agro-industry are allocated
directly by the presidency
• President of the Republic
has ordered cohabitation of
forest and mining activities.
• Forest Cadaster helps to
identify areas of conflict
• Helps to plan activities
together, in order to avoid
conflicts on the field
MINFOF

38. Land Use Conflits
• Land for agro-industrial
plantations needs to be
completely cleared
• MINFOF supports other
ministries in zoning
questions
• Gives out logging permits
and supervises logging
activities
MINFOF

39. Development of the national land use
planning schema
• National land use planning process currently underway
• Aims to resolve conflicts between land use sectors
• Identify priorities areas for different sectors
• Create decision-making tools, in order to define a better pattern of land use
• Participatory process
• forests, agriculture, livestock, mining, transport, tourism
• Ongoing studies:
• The development of the zoning plan for the national territory
• The development of the national planning and spatial development plan
• The diagnosis of the national land use scheme
• The development of regional planning schemes for the Southern and Eastern
Regions
• Forest Cadaster core dataset for land use planning activities
• Helps MINFOF to claim/ defend forested areas for forest and conservation activities
• A MoU was signed between MINEPAT and WRI for the development of a
database for land management
MINFOF

40. Forest Monitoring Unit
• MINFOF created Forest Monitoring Unit in mid-2016
• Unit will collect, process, archive and distribute
satellite images and aerial photography
• Monitor Cameroon's forest cover
• Report for REDD +
• WRI represented in Steering Committee
• Unit will be in charge of updating the forest atlas
• Will use GLAD alerts and other GFW statistics to get
orientation and run in-depth analysis
• Support field services to identify illegal activities /
forward results of analysis
• Will further depend on continues training and support
from WRI to build out the unit
MINFOF

41. MINFOF
MINFOF
THANKS FOR YOUR KIND ATTENTION

43. SISTEMA DE ALERTAS
TEMPRANAS PARA
MEGAPROYECTOS DE
INFRAESTRUCTURA EN AREAS
PRIORITARIAS DE
CONSERVACION EN COLOMBIA

44. ACCESS TO INFORMATION AND TRANSPARENCY IN THE
FOREST/LAND USE SECTORS IN THE POST-CONFLICT ERA
IN COLOMBIA
• 50+ Years of armed conflict
• 2016: peace accord with FARC guerrilla was signed
• Colombia is one of the planet’s most biodiverse countries (Amazon, Andes,
etc)
• the world’s eighth most extensive forest coverage
• 2nd country in the world with more environmental conflicts
• 3rd country in the world with more killings of environmental defenders
• The conflict has made that large areas of the territory remain beyond the
reach of development mega projects
• The areas of conflict are home of a big share of the country’s natural
resources: UNDP

45. Access to Information and Transparency
• Access to Public Information and Transparency law: 2012
• Several regulations related to access to information and
environmental protection, but low state capacity for enforcement and
compliance.
• Deficiencies in the quality of information the government have,
specially information about land ownership in rural areas.
• Weakness of regional environmental authorities (Corporaciones
Autonomas Regionales)
• Lack of access to information and participation during the planning
phase of the projects leads to environmental conflicts
• Greater access to information as a tool for conflict prevention

46. AAS Early Warning’s System
• Provide information to communities about the development
projects that may affect their territories (Global Forest Watch
Colombia).
• Capacity building workshops on environmental democracy to allow
communities to use this information for exercising their right to
participate and influence decision- making processes.
• Access to information
• Access to participation
• Environmental Justice

47. Data Acquisition
• Priority areas for conservation
• Roads 4G
• Oil industry (pipelines and oil well)
• Hydropower
• Mining
• Colombia Division Administrative
Layers
ArcGis Online MAP BUILDER
www.alertastempranas.net

48. Contacts:
Margarita Florez (Excutive director) margarita.florez@ambienteysociedad.org.co
Natalia Gomez (Associated Researcher) nataliagomez@ambienteysociedad.org.co
Hernando Ovalle (Consultant on Ecology issues) hernando.ovalle@ambienteysociedad.org.co