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A global map of burnt vegetation at 1km resolution for the year 2000 derived from SPOT VGT data

A global map of burnt vegetation at 1km resolution for the year 2000 derived from SPOT VGT data. Kevin J. Tansey & Jean-Marie Grégoire. With

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A global map of burnt vegetation at 1km resolution for the year 2000 derived from SPOT VGT data

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  1. A global map of burnt vegetation at 1km resolution for the year 2000 derived from SPOT VGT data Kevin J. Tansey & Jean-Marie Grégoire With Luigi Boschetti, Alessandro Brivio, Dmitry Ershov, Robert Fraser, Dean Graetz, Marta Maggi, Ilaria Marengo, Pascal Peduzzi, Jose Pereira, João Silva, Adélia Sousa and Daniela Stroppiana Joint Research Centre (JRC) of the EU, Italy Tel: 0039 0332 785769 E-mail: kevin.tansey@jrc.it

  2. Burning Issues Biomass burning contributes up to 40% CO2, 16% CH4 and 45% CO of anthropogenic emissions

  3. The GBA2000 Initiative The GLOBAL BURNT AREA 2000 Project • Biomass burning and land cover change • Biodiversity, Desertification and Climate Change Conventions • Biomass burning and atmospheric emission • GHG and Aerosol / Climate change conventions • In response to scientific community needs • Climate and ecosystem modelers • EU Development and Environment Policy • Land use planners and decision makers • Assistance to Kyoto Protocol validation experiments

  4. The GBA2000 Approach • SPOT4 VGT S1 global daily images • 4 spectral bands, 1 km resolution, surface reflectance • 6 Dedicated regional algorithms • Performance of algorithms evaluated with TM data • Selection of ‘best’ algorithm made outside regions • Monthly/annual burnt area map products • Statistics of burnt areas • A documented and validated methodology • Regional accuracy of the global product

  5. Where the GBA2000 algorithms are applied

  6. The months when the algorithms are applied

  7. Information/Data Access 1: IMS hosted by UNEP GRID (Switzerland) • Interactive search features (region) • Zoom in/out, pan etc. • Select month of interest • Change the background layer • Overlay WCMC protected areas • Overlay country borders http://www.grid.unep.ch/activities/earlywarning/preview/ims/gba/ 2: GBA2000 Website hosted by the JRC • Latest News • Partner/Contact Info. • Obtain reference/source information (also at UNEP) • Download binary data (also at UNEP) • View statistics (also at UNEP) http://www.gvm.ies.jrc.it/fire/gba2000_website/index.htm

  8. GBA2000 Statistical Products • Reporting at global scale • Reporting at country/provincial level • Reporting at protected area (PA) level • Reporting at 1/2o, 1o grid & 5o strip levels • Reporting per land cover type • University of Maryland global 1km land cover product (UMD) • IGBP-DIS global land cover product (IGBP) • JRC Global Land Cover 2000 (GLC2000) product • MODIS global land cover product

  9. Fire Seasonality Derived from the GBA2000 Product

  10. 1/2o Grid Burned Area Density Russia Alaska Kazakhstan USA Chile Argentina DR Congo Australia Angola % of the surface area of each 1/2o grid cell burnt in the year 2000

  11. 5o Land Strip Burned Area Density

  12. JRC BA Analysis Module

  13. Algorithm Performance Surface area accuracy of burn scars compared to TM data Sampling grid of 15x15 km, regression line, R2, little effect due to the low resolution bias UTL Europe R2 = 0.71 UTL Africa R2 = 0.4 – 0.99 (site dependent) CNR R2 = 0.6 IFI R2 = 0.89* * errors in burnt area mapping reported to be less than 15% Per pixel confusion matrix using TM data Overall (OA), omission (OM) and commission (COM) map accuracies determined JRC (Stroppiana) COM = 36% (Australian tropical savannas) Per pixel confusion matrix using a visual classification of 1km data CNR OA = 82.3% – 87% (C. Africa) Burnt surface area statistics compared to inventories/fire surveys CCRS OM = 15.5% (2000)** ** OM in Canada in 1998 = 23%, 1999 = 11%. OM in the USA in 2000 = 6.6% Work in progress: UOE/UTL and JRC(Boschetti)

  14. Next Steps • Feedback on  version -> end November • Regional assessment of the global product • Using TM scenes not previously used for regional assessment • Processing chain -> ESA (Globcarbon 98-03) • Use Global Fire Analysis GIS Modules (JRC) • Strengthen our collaboration with: • Atmospheric modelers: • ACE-ASIA (2001) - West Africa Monsoon (WAM) (2003) • Contribution to the EDGAR emission database • Land cover change modelers: • Land Use – Land Cover Change (LUCC) project of the IGBP • Land resource managers

  15. Conclusions • A global ‘high resolution’ map of areas burnt from a single source of information • The methods used are fully documented which allows: • (i) Repeatability and (ii) Evaluation from the users. • A similar multi-annual dataset (1998-2003) will be produced: • By ESA (with co-operation from the JRC) in the context of the GLOBCARBON initiative.

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