gfw partner meeting 2017 - parallel discussions 2: global forest watch at the national level
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GFW PARTNERSHIP MEETINGWASHINGTON, DC | FEBRUARY 8TH & 9TH
PHOTO: CIFOR #GFWPartners17
#GFWPartners17 Presenters: Laura Vary, Peter Potapov, Eric Kaffo Nzouwo, Natalia Gomez, Hernando Ovalle Serrano and Taryn Sanchez
PARALLEL DISCUSSIONS 2:GFW AT THE NATIONAL LEVEL
GFW at the National Level
Laura Vary
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)
What have we done to meet user’s needsDevelop New options on GFW website:1. Develop my-GFW: View and Manage subscriptions2. Better Translations3. How to Portal4. Upload own data 5. Developing new country pagesDevelop new tools targeting priority countries:6. Develop National Atlas using MapBuilder: off-line, national language, customize7. Piloted Tree-cover change Nationalize datasets 8. Forest watcher and Rapid Response NetworkContinued support for:9. Deep, long-term engagements (local staff based in-country supporting the
ministry).2. Small grant fund 5
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
Purpose: GFW to local decision-makers using mobile technology
Goal: Improving forest conservation on the ground
FOREST WATCHER APP
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
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
History – Forest Atlas
Early successes - Cameroon
• Identifying illegal logging activities in unallocated forest concessions
Early successes - DRC
• Evaluation of logging concessions against legal requirements
• 91 Concessions (12.7 Mio hectares) suspended
GFW 2.0 – Game changer
• Detecting deforestation and fires in near-real time - globally
Integrating GFW Analysis into Forest Atlas• Main GFW
functionalities are now available in the Forest Atlas
Challenges
• Currently 9 Forest Atlas countries
• By the end of 2017 there will be 16
• How to scale?
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
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.
Using Global Forest Monitoring Data and Methods at the National Scale
Peter V. PotapovGlobal Land Analysis and Discovery Lab
University of Maryland, College ParkThe 4th annual Global Forest Watch Partnership Meeting
Washington D.C., February 8-9 2017
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
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
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.
ObjectiveProviding timely spatial information on forest area and forest area change
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.
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
Sampling Design
Broich et al. (2009)
0
100
200
300
400
500
600
Sam
ple
size
n = 520
Systematicsampling
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
Simplerandom
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.
Reference DataTwo-stage cluster sampling design to
reduce high spatial resolution data costLandsat2000
Landsat2011
Forest cover loss within primary humid tropical forests, 2000-2011
Stratified sampling design(sampling grid of 12x12 km blocks, 30 blocks sampled)
RapidEye2011
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.
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
National Forest Monitoring
Logging monitoring in Republic of the Congo, 2014Forest cover change update for Peru by MINAM,
annually 2000-2011, 2013, 2014, ongoing…
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.
Using GLAD Methods at National Scale
Country/Region Project Partners/Donors
PeruForest monitoring in support of REDD+ and IPCC GHG reporting, 2000-current. Operational forest monitoring.
MINAM, SilvaCarbon
ColombiaComprehensive 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
National Forest MonitoringNational forest atlases
Regional web-based maps and datasets
Software use and image analysis training
Joined peer-reviewed publications
Peru
Bangladesh
Vietnam
Annual Global Forest Watch Meeting
Washington, 09 February 2017
By
Eric KAFFO NZOUWOSub Director of Inventories and Forest Management
Ministry of Forestry and WildlifeCameroon
MIN
FOF The Forestry Cadaster
of Cameroon
Plan
1. Presentation of Cameroon2. Forestry mapping3. Land use conflicts4. Development of the national land use
planning schema5. Forest Monitoring Unit
MIN
FOF
Presentation of Cameroon
Area of Cameroon: 47,565 million haForest area: 22 million haTypes 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
MIN
FOF
Forestry mapping
MIN
FOF
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 haThis database also allows mapping of other forest land uses such as:• Flooding sites for hydroelectric dams• Mining Permits• Sites for agro-industrial plantations
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
MIN
FOF
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
MIN
FOF
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
MIN
FOF
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
MIN
FOF
MINFOF
MINFOF
THANKS FOR YOUR KIND ATTENTION
SISTEMA DE ALERTAS TEMPRANAS PARA
MEGAPROYECTOS DE INFRAESTRUCTURA
EN AREAS PRIORITARIAS DE
CONSERVACION EN COLOMBIA
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
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
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
Data Acquisition• Priority areas for conservation
• Roads 4G
• Oil industry (pipelines and oil well)
• Hydropower
• Mining
• Colombia Division Administrative
Laye
rs
ArcGis Online MAP BUILDER
www.alertastempranas.net
Contacts:Margarita Florez (Excutive director) margarita.florez@ambienteysociedad.org.coNatalia Gomez (Associated Researcher) nataliagomez@ambienteysociedad.org.coHernando Ovalle (Consultant on Ecology issues) hernando.ovalle@ambienteysociedad.org.co
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