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MRV & Reporting Status & Related Space Data Needs

MRV & Reporting Status & Related Space Data Needs. PERU Renzo Giudice William Llactayo. Introduction. Measurement: Activity data: DGOT (deforestation and forest degradation, early warning); REDD+ Project (deforestation), PNCBMCC (deforestation in specific areas at high resolution).

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MRV & Reporting Status & Related Space Data Needs

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  1. MRV & Reporting Status& Related Space Data Needs PERU Renzo Giudice William Llactayo

  2. Introduction • Measurement: • Activity data: DGOT (deforestation and forest degradation, early warning); REDD+ Project (deforestation), PNCBMCC (deforestation in specific areas at high resolution). • Emission factors: National Forest Inventory (MINAM & MINAGRI). • Reporting: • Dirección General de Cambio Climático, Desertificación y Recursos Hídricos: punto focal de la CMNUCC • Verification: ???? • Reference Levels: ∑ Sub-national (R-PP)

  3. Status of National MRV Implementation • Where are we? (REDD+ Phase 1)“…the definition and selection of the ‘pillars’ underpinning the NFMS and the testing and selection of methodologies for reliable, robust and transparent national M & MRV functions.” (UN-REDD). • Remote sensing (Activity Data): (1)Deforestation: approach 3 (spatially explicit and wall to wall in the Amazon) BUT only 2 classes (forest and non-forest or managed and unmanaged land) and gross loss (experimental): ClasLite and University of Maryland´s algorithms (M. Hansen); Corine Land Cover in some regions (12) and plans to develop UM algorithm´s to classify IPCC´s six land use classes. (2) Degradation: ClasLite (experimental). • Forest Inventory (Emission factors and tiers): Tier 2 (country specific EFs) estimated from inventoried field plots and based on the National Forest Inventory strata (MAP). Pool = Above ground biomass; Uncertainties estimated. Carnegie, Woods Hole Research Center and Saatchi et al. = biomass estimations using remote sensing (Lidar, GLAS, CAO).

  4. RemoteSensing Alerta Temprana Cuantificación de Resolución Media Cuantificación de Resolución Alta Objetivo Cuantificar los cambios en periodos anuales Objetivo Detectar cambios en tiempo casi real y generar alertas Objetivo Cuantificar los cambios en áreas críticas ó de interés específico Diseño de proceso Diseño de proceso Imágenes MODIS 1km y 250 mt NASA-CASA Imágenes Res ≥5 mt Imágenes LANDSAT, ASTER, Res >30 mt Algoritmos Complement. CAN-MINAM_UNALM EVI Algoritmo GOPHER Algoritmo Algoritmo 6S y AutoMCU ALERTS PSI-MINAM Sistema de Información para el Monitoreo CARNEGIE ClasLITE Diseño de proceso Control Visual Detección de Cambio de uso Áreas Criticas (serie de t) Detección Incendios Cobertura de Bosque Cambio de Bosque Cobertura Situacional Cobertura de bosque Cambio de Bosque Análisis y validación con las regiones Análisis y validación con las regiones Análisis y validación con las Comunidades Trabajo con las Regiones: Capacitación, Aplicación de Protocolos, Validación de resultados, retroalimentación Report: Geoservidor, Comunicaciones Oficiales y Publicaciones (Compromisos internacionales, Sectores del Estado, Gob. Regionales)

  5. Status of National MRV Implementation

  6. Status of National MRV Implementation MONTE CARLO analysis of uncertainties Strata: • Strata 1: DryForest • Strata 2: Selva Alta veryunaccesible • Strata 3: Selva Alta accesible • Strata 4: Selva Baja • Strata 5: AndeanForest • Strata 6: Hidromórfico

  7. Report and tiers % Error TIER III TIER II Complejidad TIER I Requerimiento de información

  8. Institutional arrangements • The R-PP is currently being up-dated to present it to the PCPF. • Forest Investment Program is being finished and shared with civil society for final approval. • Governor´s Climate and Forests Force Task (GCF). • Carbon Fund (World Bank)

  9. Nested approach

  10. Space Data Needs • Scope and timeline for implementation • Early warning: SAR (Sentinel & ALOS 1 & 2); wall to wall, bi-annually. • Medium resolution: (1) Landsat 8; (2) SAR (Specific areas); wall to wall, annually. • High resolution: (1) RapidEye; (2) Quickbird; Formosat; 10% free-cloud cover specific areas; annually. • DEM: SRTM (30m); TANDEM-X (5m); once.

  11. Space Data Needs • Basic needs • 30 validation blocks • 40 blocks: areas for PNCB and FIP selected areas • 144 km2 each block • Total of 10,080 km2

  12. Space Data Needs • Current challenges & obstacles where GFOI assistance may be most valuable • Data accessibility (e.g. Instituto Geográfico Nacional)

  13. Thank you!

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