1. Towards global estimates of burnt area from satellite imagery for use by the atmospheric science community Grégoire J-M. 1*, K. Tansey 1*, I. Marengo 1, L. Boschetti 1, P.A. Brivio 2, D. Ershov 3, S. Flasse 4, R. Fraser 5, D. Graetz 6, M. Maggi 1, P. Peduzzi 7, J.M.N. Pereira 8, J. Silva 9, A. Sousa 10, D. Stroppiana 1 1 * corresponding authors: Global Vegetation Unit, Joint Research Centre, Italy [jean-marie.gregoire@jrc.it ; kevin.tansey@jrc.it] 2 IREA-CNR, Milan, Italy; 3 IFI, Moscow, Russia; 4 FC, Maidstone, UK; 5 CCRS, Ottawa, Canada; 6 CSIRO-EOC, Canberra, Australia; 7 UNEP, Geneva, Switzerland; 8 TRI, Lisbon, Portugal; 9 UTL, Lisbon, Portugal; 10 UE, Evora, Portugal The GBA2000 initiative References Boschetti, L., S. Flasse, A. Jacques de Dixmude and S. Trigg, 2001, A multitemporal change detection algorithm for the monitoring of burnt areas with SPOT-Vegetation data. In L. Bruzzone and P. Smith, (Eds.), Analysis of Multi-temporal Remote Sensing Images, Singapore: World Scientific (in press). Brivio, P.A., M. Maggi, E. Binaghi, I. Gallo, 2002, Mapping burned surfaces in Sub-Saharan Africa based on multi-temporal neural classification, IJRS, submitted. Ershov, D.V., and Novik, V.P., 2001, Features of burnt area mapping in forest of Siberia using SPOT S1-VGT data. GOFC Fire Satellite Product Validation Workshop, 9 July 2001 (Lisbon). Fraser, R.H., R. Fernandes, and R. Latifovic, 2002, Multi-temporal mapping of burned forest over Canada using satellite-based change metrics, Geocarto International, submitted. Grégoire, J-M., K. Tansey, and J.M.N. Silva, 2002, The GBA2000 initiative: Developing a global burned area database from SPOT- VEGETATION imagery, IJRS, in press. Hansen, M., DeFries, R., Townshend, J. R. G. and Sohlberg, R., 2000, Global land cover classification at 1km resolution using a decision tree classifier, IJRS, Vol. 21, pp. 1331-1365. Silva, J.M.N., J. M.C. Pereira, A. I. Cabral, A. C. L. Sá, M. J.P. Vasconcelos, B. Mota, and J-M. Grégoire, 2002, The area burned in southern Africa during the 2000 dry season, JGR, submitted. Stroppiana, D., K. Tansey, J-M. Grégoire, and J.M.C. Pereira, 2002, An algorithm for mapping burnt areas in Australia using SPOT- VEGETATION data. IEEE Trans. on Geoscience & R S, submitted. Tansey, K., 2002, Implementation of regional burnt area algorithms for GBA2000, Publication of the European Commission, in preparation, April 2002. to provide the science community with quantitative information on the areas burnt globally for the major biomes during the year 2000 GOFC/GOLD Fire & IGBP-IGAC/BIBEX workshop Improving global estimates of atmospheric emissions from biomass burning University of Maryland – July 17-19 2002 Perspectives  Combine GBA2000 product with other global datasets GLOBSCAR (ESA) and MODIS (NASA) products  Apply GBA processor to other time series of SPOT-VGT data 2001, 2002  Develop research in the field of fire intensity and burning efficiency Accuracy assessment  Performance of the regional algorithm(s) linear regression analysis to compare the burned area estimates derived from Landsat ETM+ data and the map derived from the SPOT-VGT-S1 for limited test-sites  Accuracy assessment of the global burnt area map Check project status Select a geographical window on June 1 st 2002, burnt area maps completed for Canada, USA down to 30 o South, Europe, Africa, Asia down to 30 o South and Australia the globe has been divided into 6 regions Download the products for the region and period of interest Illustrative results for window D (sub-saharan Africa) are shown below Map products: GIS binary files (BSQ format in geographic projection) with file headers for direct importing into ArcInfo (GRID) and/or ENVI, ERDAS... Statistics on a country basis Quantitative figures are provided to support country reporting assessment of seasonality land cover – land use studies Statistics on a grid cell basis A global grid at 1 o resolution has been designed. Areas burnt per month and per type of vegetation cover are provided for each cell Advanced products Latitudinal stratification at continental levelDensity map at continental level Product definition  A binary map (burnt-unburnt) Monthly non accumulative global burn scar map, at 1 km resolution  Statistics of burnt areas Area burnt in 2000 per month and per main types of vegetation cover Map products & statistics available on the web Partner institutions in GBA2000 and test-sites Partner institution and host countryTest-site Canadian Centre for Remote Sensing (CCRS), CanadaCanada Natural Resource Institute (NRI), UKMexico, Namibia, Botswana Consiglio Nazionale delle Ricerche (CNR), ItalyAfrica (northern hemisphere) Universidade Técnica de Lisboa (UTL), PortugalMozambique, Brazil, Ib. Peninsula International Forest Institute (IFI), RussiaRussia (European and East Siberia) CSIRO Earth Observation Centre (EOC), AustraliaAustralia Joint Research Centre (JRC), ItalyAustralia, South and Southeast Asia UNEP-DEWA (Switzerland), UNdevelopment Internet Map Server General approach  Networking: co-investigators from Australia, Canada, EC, Italy, Portugal, Russia, UK, UN  Development of regional algorithms: processing SPOT-VGT imagery to burnt area maps  Integration of the regional algorithms into a global processing chain at JRC  Overall coordination: JRC Six regional algorithms developed to process SPOT-VGT-S1 AlgorithmInput dataClassification approach Boschetti et al.Single date imagesTemporal change in the NIR & SWIR Brivio et al.Single date imagesMulti-Layer Perceptron (MLP) classifier contextual analysis Ershov & NovikSingle date imagesTemporal change in the NIR & SWIR Fraser et al.10-day compositesMultiple logistic regression model Silva et al.Monthly compositesLinear Discriminant Analysis of temporal change of six variables Stroppiana et al.10-day compositesClassification trees & temporal change in the NIR and SWIR The global processing chain Input 6.6 Gb/day (VGT-S1) Pre-processing Masking for. extreme view angle. SWIR saturation. non-vegetated surf.. cloud, shadow, snow Processing Temporal compositing Forest-non forest mask Burnt area algorithms Post-processing Algorithm dependent Mosaicking to create global product  JRC web sitehttp://www.gvm.sai.jrc.it/fire/gba2000_website/index.htm  UNEP-GRIDhttp://www.grid.unep.ch/activities/earlywarning/preview/ims/gba/ Accessing the GBA2000 products % of 1x1 deg. cell burnt in the year 2000 Development of burnt areas in Central Africa SPOT-VGT-S1 imagery. November 2 nd, 7 th, 12 th and 17 th 1999 (left to right)