JRC future activities: TropForest and ReCaREDD projects

Transcription

1 JRC future activities: TropForest and ReCaREDD projects Presented by Frédéric Achard

2 First High level objective of the FRC unit Assessment of the state and condition (extent, health & vitality, threats) of forest resources, and monitoring of their trends Activity 1.1. Production of updates of forest cover assessments (with improved accuracy) for Europe and the Tropics Activity 1.2. Development of Earth Observation based monitoring techniques used in combination with ancillary data (e.g. from forest inventories ) to assess forest degradation processes for Europe and the tropical regions. Activity 1.3.

3 Third High level objective of the FRC unit Analysis of Climate Change adaptation and mitigation in forestry, preparing forests for climate change and proposing measures to mitigate carbon emissions Activity 3.4. Development of improved internationally agreed methods for the estimation of carbon fluxes from changes in forest resources Activity 3.5. Technology transfer to developing countries for enhancement of their forest resources monitoring & reporting capabilities

4 Assessment of Forest resources from a systematic sample 20 km X 20 km size boxes at every full degree confluence point -> 4016 sample units in the tropics Tropical South and Central America Sub - Saharan Africa South and Southeast Asia 1230 sample units 2045 sample units 741 sample units

5 Pre-processing of Landsat imagery (30 m res) Calibrated ETM De-hazed Forest Mask Normalized Year 2000 data >>>>>>>>>>>>>>>>>> L0 L1 L2 Automated Pre-processing Chain Year 2010 data >>>>>>>>>>>>>>>>>> Segmentation, 2 Levels: 1 & 5 ha Beuchle et al. (2011) Int. J. Remote Sens. 32: Bodart et al. (2011) ISPRS J. Photogram. Remote Sensing, 66: Raši et al (2011) Remote Sens. Env. 115: Raši et al (2013) IEEE JSTARS 6:66-73

6 Eva et al., 2012, Forest cover changes in tropical South and Central America from 1990 to 2005 and related carbon emissions and removals Remote Sens. 4,

7 Annual deforestation rates during period

8 FAO & JRC Global forest land-use change FAO Forestry Paper No ngsurvey/en/

9 Bodart et al, 2013 Continental estimates of forest cover and forest cover changes in the dry ecosystems of Africa for the period Journal of Biogeography. doi: /jbi Mayaux et al, State and evolution of the African rainforests between 1990 and Phil. Trans. R. Soc. B. accepted

10 Forest area estimates for year 2000 (million ha) in South & Central America Region Source FAO FRA RSS / Landsat Pathfinder TREES- II SDSU FAO FRA-2010 Country Survey This study Central and South America 700 (RSS-2000) Brazil Forests Forests + OWL (2010) Legal Amazon 344 (LP)

11 Comparison with INPE results -> very good correspondence between INPE and JRC/EMBRAPA interpretations Based on 34 sample units, mostly in forest change areas Forest area 1990 (ha) Campinas Deforestation - Campinas Team (ha) y = 1.017x R 2 = Forest area 1990 (ha) Sao Jose dos Campos Deforestation -Sao Jose dos Campos Team (ha) y = x R 2 = Forest area (1990 epoch) y = 1.017x R2 = Deforestation y = x R2 =

12 JRC sample sites on ABG Biomass map (Saatchi map) Saatchi et al, PNAS, 2011 S09 W062

13 S09_W062 Tree Cover 2000 with fully contained Saatchi Map pixels

14 S09_W062 change With year 2000 pure Saatchi pixels

15 Deforestation Carbon emissions Eva et al., 2012, Forest cover changes in tropical South and Central America from 1990 to 2005 and related carbon emissions and removals Remote Sens. 4,

16 UNFCCC REDD+ requirements To Forest land From Intact (natural) Forest non-intact Forest Other Land Forest land Intact (natural) Forest nonintact Forest Forest conservation Enhancement of C stocks (forest restoration) Forest Degradation Sustainable Management of Forests Deforestation Deforestation Other Land - Enhancement of C stocks (A/R) Stock change method: C before C after Gain-loss: growth harvest other losses Bucki et al, 2012, Assessing REDD+ performance of countries with low monitoring capacities: the matrix approach. Environ. Res. Lett., 7 (2012)

17 Remote sensing parameters for degradation monitoring Forest degradation parameter (from definitions) Visual variable Forest degradation parameter in remote sensing Reduction of carbon stock (biomass) Reduction of wood value Forest fragmentation Forest thinning Loss of older trees Loss of valuable species Canopy density/crown cover reduction Not detectable Texture change (smaller forest canopies) Reflectance change Canopy reduction Forest fragmentation Canopy density Change in structure Trees layers change Texture change Change in species composition Loss of productivity (function) Forest structure and function change Reduction of green vegetation Reflectance change FAPAR long term change Loss of biodiversity Forest homogenization Texture change Natural caused - Rainfall, T, fires Long-term duration - Time series

18 (Sample Site N18 E082, India) Landsat, 30 m resolution 15 December 2001 Kompsat, 4 m resolution 20 January 2010

19 Assessment of tropical forest degradation from fine resolution imagery (c. 10m)

20 ReCaREDD project (to start in October 2013) Strengthening national and regional capacities for reporting on the mitigation actions of the forest sector The project will cover selected tropical regions or countries with 3 main activities: 1. Further development of methodologies with partner countries for reporting on the reduction of emissions and the enhancement of carbon stocks, 2. Strengthening of regional forest observatories and related national institutions in selected countries for their reporting to the UNFCCC (REDD+), 3. Provision of transparent and consistent information of forest-cover evolution to policy makers in partner countries and EU services involved in international environmental negotiations.

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22 Thanks for your attention Just published (Nov. 2012)