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