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
1.
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 NASAGEOCOVER&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.
Eight classes at least would 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.
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.
About the Technical Team
• Key Specialists:
• 1. Edition of thematic information at raster level
• 2. Downloading and preprocessing of data including
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vector and cartographic analysis.
• 3. Remote Sensing of tropical forestry
Main Events
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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.
8 Themes to be Mapped
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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??
Resolution of Deforestation at Yanomami Park: 15 m2
MAPEAMENTO DA REBROTA DO ESTADO ACRE - BR
2000
MAPEAMENTO DA REBROTA DO ESTADO ACRE - BR
1990
MAPEAMENTO DA REBROTA DO ESTADO ACRE - BR
2000
MOSAICO DE IMAGENS LANDSAT NASA – GEOCOVER - 2000
MAPA DA VEGETAÇÃO DA BOLÍVIA
VETORES SOBRE MOSAICO DE IMAGENS LANDSAT NASA – GEOCOVER - 2000
MOSAICO DE IMAGENS LANDSAT NASA – GEOCOVER - 1990
MAPA SOBRE O MOSAICO DE IMAGENS LANDSAT NASA – GEOCOVER - 2000
MAPA SOBRE IMAGEM MODIS 2006 MOD09 – R (MIR) G (NIR) B (RED)
MAPA VEGETAÇÃO DA AMAZÔNIA DA AMERICA DO SUL
MAPA DA VEGETAÇÃO DA AFRICA
MAPA DA VEGETAÇÃO DA AFRICA
MAPA FINAL
Deserto
Savana1
Floresta
Savana2
MAPA DA VEGETAÇÃO DA AFRICA
MAPA DA VEGETAÇÃO DA AFRICA
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
Data, abril de 2007
Coordenador do Projeto:
Paulo R. Martini
Some References.
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-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; Online. 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).
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 <[email protected]>