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GFW Partner Meeting 2017 - Parallel Discussions 2: Global Forest Watch at the National Level


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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?

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GFW Partner Meeting 2017 - Parallel Discussions 2: Global Forest Watch at the National Level

  2. 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. 3. GFW at the National Level Laura Vary
  4. 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. 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. 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. 7. Purpose: GFW to local decision-makers using mobile technology Goal: Improving forest conservation on the ground FOREST WATCHER APP
  8. 8. 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
  9. 9. 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
  10. 10. History – Forest Atlas
  11. 11. Early successes - Cameroon • Identifying illegal logging activities in unallocated forest concessions
  12. 12. Early successes - DRC • Evaluation of logging concessions against legal requirements • 91 Concessions (12.7 Mio hectares) suspended
  13. 13. GFW 2.0 – Game changer • Detecting deforestation and fires in near-real time - globally
  14. 14. Integrating GFW Analysis into Forest Atlas • Main GFW functionalities are now available in the Forest Atlas
  15. 15. Challenges • Currently 9 Forest Atlas countries • By the end of 2017 there will be 16 • How to scale?
  16. 16. 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
  17. 17. 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.
  18. 18. 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
  19. 19. 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
  20. 20. 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
  21. 21. 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
  22. 22. 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.
  23. 23. 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
  24. 24. 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.
  25. 25. 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.
  26. 26. 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
  27. 27. 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…
  28. 28. 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.
  29. 29. 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
  30. 30. 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
  31. 31. 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
  32. 32. 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
  33. 33. 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
  34. 34. 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- ), 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
  35. 35. 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
  36. 36. 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
  37. 37. 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
  38. 38. 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. 41. 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
  42. 42. 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
  43. 43. 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
  44. 44. Data Acquisition • Priority areas for conservation • Roads 4G • Oil industry (pipelines and oil well) • Hydropower • Mining • Colombia Division Administrative Layers ArcGis Online MAP BUILDER
  45. 45. Contacts: Margarita Florez (Excutive director) Natalia Gomez (Associated Researcher) Hernando Ovalle (Consultant on Ecology issues)