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Alexandre C. Coutinho Embrapa Monitoramento por Satélite PROCAM - USP

BURNINGS OCCURENCY DYNAMCS IN THE STATE OF MATO GROSSO. Alexandre C. Coutinho Embrapa Monitoramento por Satélite PROCAM - USP. PROCEDURES. ACCURACY ESTIMATION OF BURNING DATA MUNICIPALITY BASED ANALYSIS MULTIVARIATED ANALYSIS - PRINCIPAL COMPONENTS FIRST COMPONENT CLASSIFICATION

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Alexandre C. Coutinho Embrapa Monitoramento por Satélite PROCAM - USP

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  1. BURNINGS OCCURENCY DYNAMCS IN THE STATE OF MATO GROSSO Alexandre C. Coutinho Embrapa Monitoramento por Satélite PROCAM - USP

  2. PROCEDURES • ACCURACY ESTIMATION OF BURNING DATA • MUNICIPALITY BASED ANALYSIS • MULTIVARIATED ANALYSIS - PRINCIPAL COMPONENTS • FIRST COMPONENT CLASSIFICATION • DYNAMICS CHARACTERIZATION

  3. ACCURACY ESTIMATION OF BURNING DATA • 1999 • 21 of 47 images • spatial resolution - 60m • geometrical resolution - 90m (1,5 pixel) • 2000 / 2001 • 21 images • spatial resolution - 30m • geometrical resolution - 50m

  4. ACCURACY ESTIMATION OF BURNING DATA NOAA - 12 • 1999 • 2899 burnings • confidence level of 95% • confifdence interval of 5% SAMPLE 315 246 de de 339 250 • 2000 / 2001 • 716 burnings • confidence level of 95% • confifdence interval of 5%

  5. ACCURACY ESTIMATION OF BURNING DATA Stratified analysis based on distance Identify geometric correction and commission errors radius 1,5km; 3,0km and 6,0km around the coordinate

  6. ACCURACY ESTIMATION OF BURNING DATA 1,5km 3,0km 6,0km 6,0km

  7. ACCURACY ESTIMATION OF BURNING DATA COMMISION ERROR ?

  8. ACCURACY ESTIMATION OF BURNING DATA COMMISION ERROR ?

  9. ACCURACY ESTIMATION OF BURNING DATA COMMISSION ERROR ?

  10. MUNICIPALITY BASED ANALYSIS -1995-

  11. MUNICIPALITY BASED ANALYSIS -1996-

  12. MUNICIPALITY BASED ANALYSIS -1997-

  13. MUNICIPALITY BASED ANALYSIS -1998-

  14. MUNICIPALITY BASED ANALYSIS -1999-

  15. MUNICIPALITY BASED ANALYSIS -2000-

  16. MUNICIPALITY BASED ANALYSIS -2001-

  17. MUNICIPALITY BASED ANALYSIS -2002-

  18. MUNICIPALITY BASED ANALYSIS -2003-

  19. MULTIVARIATED ANALYSIS - PRINCIPAL COMPONENTS • data normalization • Factor 1explains77,59%

  20. DYNAMICS CHARACTERIZATION LEGENDA Din. progressiva acelerada Inc. de qmd. extremamente alta Din. progressiva moderada Inc. de qmd. alta Din. estável Inc. de qmd. moderada Din. estável Inc. de qmd. baixa Din. Regressiva fraca Inc. de qmd.muito baixa

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