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F-11 Group Meeting Brazil’s Proposal TOR for an Extended-Panamazonia Project.

F-11 Group Meeting Brazil’s Proposal TOR for an Extended-Panamazonia Project. Watching the World Forest through Satellite Remote Sensing. Bali, Indonesia Feb 23th, 2010. Summary and Purposes

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F-11 Group Meeting Brazil’s Proposal TOR for an Extended-Panamazonia Project.

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  1. F-11 Group MeetingBrazil’s Proposal TOR for an Extended-Panamazonia Project. Watching the World Forest through Satellite Remote Sensing. Bali, Indonesia Feb 23th, 2010

  2. Summary and Purposes • This document describes the general terms of references of e-Panamazonia Project. The purpose of the project is to build technical capacity to watch tropical rain forest through the use of satellite Remote Sensing. The procedures are strongly supported by freeware-GIS and public images such are NASA-GEOCOVER&MODIS and CBERS digital data. These images have to be ortho-rectified in order to be organized in databanks for every country of the F11-Group, in precision-levels. In order to extract thematic information, the images must be submitted to a Spectral Mixture Model-SMM and also to segmentation, according to the routines available in free wares such as Brazil's National Institute for Spatial Research (Instituto Nacional de Pesquisas Espaciais) (INPE)’s SPRING. The last step of the procedures is the photo interpretation of databanks at digital level.

  3. Eight classes at least would be mapped: • Forest coverage; • Deforestation within the forest; • Regrowth; • Savanna coverage; • Deforestation within the savanna; • Savanna regeneration; • Ages of regrowths and regenerations, • Hydrology and drainage. • These procedures will be applied to selected country sites and transfered to local communities technical teams by hands-on training. At the end of the proposed activities experienced technical staff will be ready to analyze and to improve local digital banks and thus pursue continuous monitoring of the 'forest & savanna' coverage in the F11 countries.

  4. About the Technical Team • Key Specialists: • 1. Edition of thematic information at raster level • 2. Downloading and preprocessing of data including • vector and cartographic analysis. • 3. Remote Sensing of tropical forestry

  5. Main Events • 1. Downloading free images from public datacenters • e.g. U.S.G.S-GEOCOVER; NASA-TERRA/AQUA • INPE-CBERS. • 2. Ortho-rectifing the images • 3. Entering the images to Multispectral Mixture Model • and Segmentation. • 4. Organizing databanks at accurate precision level • 5. Raster Edition upon photointerpretation of selected country sites • 6. Organizing training matters • 7. Training in four seasons. • 8. Support and advise to local teams.

  6. 8 Themes to be Mapped • 1) Forest coverage; • 2) Deforestation within the forest; • 3) Regrowth; • 4) Savanna coverage • 5) Deforestation within the savanna; • 6) Savanna regeneration; • 7) Ages of regrowths and regenerations, • 8) Hydrology and drainage. • ?? Burning beneath the trees??

  7. Resolution of Deforestation at Yanomami Park: 15 m2

  8. 2000 MAPEAMENTO DA REBROTA DO ESTADO ACRE - BR

  9. 1990 MAPEAMENTO DA REBROTA DO ESTADO ACRE - BR

  10. 2000 MAPEAMENTO DA REBROTA DO ESTADO ACRE - BR

  11. MOSAICO DE IMAGENS LANDSAT NASA – GEOCOVER - 2000

  12. MAPA DA VEGETAÇÃO DA BOLÍVIA

  13. VETORES SOBRE MOSAICO DE IMAGENS LANDSAT NASA – GEOCOVER - 2000

  14. MOSAICO DE IMAGENS LANDSAT NASA – GEOCOVER - 1990

  15. MAPA SOBRE O MOSAICO DE IMAGENS LANDSAT NASA – GEOCOVER - 2000

  16. MAPA SOBRE IMAGEM MODIS 2006 MOD09 – R (MIR) G (NIR) B (RED)

  17. MAPA VEGETAÇÃO DA AMAZÔNIA DA AMERICA DO SUL

  18. MAPA DA VEGETAÇÃO DA AFRICA

  19. Deserto Savana1 Floresta Savana2 MAPA DA VEGETAÇÃO DA AFRICA MAPA FINAL

  20. MAPA DA VEGETAÇÃO DA AFRICA

  21. MAPA DA VEGETAÇÃO DA AFRICA

  22. Monitoramento do desflorestamento em escala global: uma proposta baseada nos projetos PRODES e DETER Equipe Técnica: V. Duarte; Y. E. Shimabukuro; R. M. de Freitas; E. Arai Coordenador do Projeto: Paulo R. Martini Data, abril de 2007

  23. Some References. • -DUARTE, V. Metodologia para criação do Prodes Digital e do banco de dados digitais da amazônia: Projeto BADDAM. São José dos Campos: INPE, 1999. (INPE-7032-PUD/035). Disponível em: <http://urlib.net/sid.inpe.br/jeferson/2003/06.09.13.55>. • -DUARTE, V.; MARTINI, P. R.; SHIMABUKURO, Y. E.; FREITAS, R. M.; ARAI, E. Monitoramento do desflorestamento em escala global: uma proposta baseada nos projetos PRODES Digital e DETER. In: Simpósio Brasileiro de Sensoriamento Remoto, 13. (SBSR), 2007, Florianópolis. Anais. São José dos Campos: INPE, 2007. p. 6687-6694. CD-ROM; On-line. ISBN 978-85-17-00031-7. (INPE-16340-PRE/10919). Disponível em: <http://urlib.net/dpi.inpe.br/sbsr@80/2006/11.22.18.50>. • -SHIMABUKURO, Y. E. ; SMITH, J. A. . The least-squares mixing models to generate fraction images derived from Remote Sensing multispectral data. IEEE Transactions on Geoscience and Remote Sensing, v. 29, n. 1, p. 16-20, 1991. • -SHIMABUKURO, Y. E.; DUARTE, V.; MOREIRA, M. A.; ARAI, E.; RUDORFF, B. F. T.; ANDERSON, L. O.; FREITAS, R. M.; LIMA, A.; ARAGÃO, J. R. L. Detecção de áreas desflorestadas em tempo real (Projeto DETER) para os anos de 2005 e 2006. São José dos Campos: INPE, 2007. 69 p. (INPE--/). (INPE-14784-RPQ/810). Disponível em: <http://urlib.net/sid.inpe.br/mtc-m12@80/2007/08.20.19.01>. • -SHIMABUKURO, Y. E. ; DUARTE, V. ; ARAI, E. ; FREITAS, R. M. ; LIMA, A. ; VALERIANO, D. M. ; BROWN, I. F. ; Maldonado, M.L.R. . Fraction images derived from Terra MODIS data for mapping burnt areas in Brazilian Amazonia. International Journal of Remote Sensing, v. 30, p. 1537-1546, 2009. • -SHIMABUKURO, Y. E. ; DUARTE, V. ; ARAI, E. ; FREITAS, R. M. ; MARTINI, P. R. ; LIMA, A. . Mapping and monitoring land cover in acre state, Brazilian amazônia, using multitemporal remote sensing data. In: IGARSS 2009, 2009, Cape Town. IIEEE International Geoscience & Remote Sensing Symposium, 2009. v. 1. p. 1-2. • -SHIMABUKURO, Y. E. ; DUARTE, V. ; ARAI, E. ; FREITAS, R. M. ; MARTINI, P. R. ; LIMA, A. Monitoring land cover in Acre State, western Brazilian Amazonia, using • multitemporal remote sensing data. International Journal of Image and Data Fusion (submitted).

  24. Sites Available • About the current Panamazonia Project: • www.dsr.inpe.br/panamazon • Collection of articles and press-releases: • www.dsr.inpe.br/panamazon/pana_reltec.html • Terima Kasih! • (Gracias, thanks, obrigado) • By Paulo Roberto Martini <martini@dsr.inpe.br>

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