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| Registros recuperados : 32 | |
| 1. |  | FREITAS, J. V. de; HIGUCHI, N. Projecoes da distribuicao diametrica de uma floresta tropical umida de terra firme pela cadeia de Markov. In: CONGRESSO FLORESTAL PANAMERICANO, 1.; CONGRESSO FLORESTAL BRASILEIRO, 7., 1993, Curitiba. Floresta para o Desenvolvimento: Política, Ambiente, Tecnologia e Mercado: anais. São Paulo: SBS; [S.l.]: SBEF, 1993. v. 2, p. 545- 548.| Biblioteca(s): Embrapa Florestas. |
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| 6. | | FREITAS, J. V. de; MOREIRA, A. L. B.; CUNHA, U. S. da; SILVA, R. P. da. Estudo comparativo da precisão de 5 instrumentos medidores de altura de árvores em florestas naturais tropicais. In: INTERNATIONAL CONGRESS AND EXHIBITION ON FOREST, 5., 1999, Curitiba. Forest 99: [resumos]. Rio de Janeiro: BIOSFERA, 1999. 1 CD-ROM. Autoria bilíngue: CONGRESSO E EXPOSICAO INTERNACIONAL SOBRE FLORESTAS, 5., 1999, Curitiba.| Biblioteca(s): Embrapa Florestas. |
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| 7. | | CUNHA, U. S. da; FREITAS, J. V. de; LÜDKE, F.; SILVA, W. dos S. Estudo de tempos e movimentos das operações de extração e transporte de madeira para uso em serraria e laminação, projeto Santa Rita - Gethal, Itacoatiara - AM, Convênio FUA/Gethal. In: INTERNATIONAL CONGRESS AND EXHIBITION ON FOREST, 5., 1999, Curitiba. Forest 99: [resumos]. Rio de Janeiro: BIOSFERA, 1999. 1 CD-ROM. Autoria bilíngue: CONGRESSO E EXPOSICAO INTERNACIONAL SOBRE FLORESTAS, 5., 1999, Curitiba.| Biblioteca(s): Embrapa Florestas. |
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| 8. | | FREITAS, J. V. de; MOREIRA, A. L. B.; CUNHA, U. S. da. Aspectos da represntação da relação altura / diâmetro em inventários florestais comerciais em florestas naturais tropicais. In: INTERNATIONAL CONGRESS AND EXHIBITION ON FOREST, 5., 1999, Curitiba. Forest 99: [resumos]. Rio de Janeiro: BIOSFERA, 1999. 1 CD-ROM. Autoria bilíngue: CONGRESSO E EXPOSICAO INTERNACIONAL SOBRE FLORESTAS, 5., 1999, Curitiba.| Biblioteca(s): Embrapa Florestas. |
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| 9. | | CUNHA, U. S. da; MACHADO, S. do A.; FIGUEIREDO FILHO, A.; FREITAS, J. V. de. Diameter structure and phytosociological frequency of a "terra firme" amazon forest, before and after selective cutting. Floresta, Curitiba, v. 42, n. 2, p. 293-304, abr./jun. 2012.| Biblioteca(s): Embrapa Florestas. |
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| 11. | | SANTOS, A. T. dos; MATTOS, P. P. de; BRAZ, E. M.; MACHADO, S. do A.; FREITAS, J. V. de. Estrutura diamétrica de Bauhinia forficata, Commiphora leptophloeos, Croton sonderianus e Pityrocarpa moniliformis no bioma Caatinga. In: CONFERÊNCIA IUFRO 2023 AMÉRICA LATINA, 2023, Curitiba. Anais... Colombo: Embrapa Florestas, 2023. p. 118. (Embrapa Florestas. Eventos técnicos & científicos, 2).| Biblioteca(s): Embrapa Florestas. |
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| 12. | | LUZ, N. B. da; OLIVEIRA, Y. M. M. de; ROSOT, M. A. D.; GARRASTAZU, M. C.; FRANCISCON, L.; MESQUITA JÚNIOR, H. N. de; FREITAS, J. V. de. Classificação híbrida de imagens Landsat-8 e RapidEye para o mapeamento do uso e cobertura da terra nas Unidades Amostrais de Paisagem do Inventário Florestal Nacional do Brasil. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 7222-7230. Disponível online.| Biblioteca(s): Embrapa Florestas. |
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| 13. | | LUZ, N. B. da; OLIVEIRA, Y. M. M. de; ROSOT, M. A. D.; GARRASTAZU, M. C.; MATTOS, P. P. de; FRANCISCON, L.; FREITAS, J. V. de. Classificação de imagens orientada a objetos como suporte ao componente geoespacial do Inventário Florestal Nacional Brasileiro. In: SIMPÓSIO NACIONAL DE INVENTÁRIO FLORESTAL, 3., 2014, Manaus. Anais... Brasília, DF: Serviço Florestal Brasileiro, 2014. p. 126. Disponível online. Resumo.| Biblioteca(s): Embrapa Florestas. |
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| 15. | | FREITAS, J. V. de; OLIVEIRA, Y. M. M. de; ABRANTES, M. A.; MATTOS, P. P. de; SCHAITZA, E. G.; PICHELLI, K. R.; AFONSO, S. R. Memórias do XXV Congresso Mundial da IUFRO, Curitiba, Paraná, Brasil, 29 de setembro a 5 de outubro de 2019. Brasília, DF: Embrapa, 2020. 104 p. il. color. Contém apêndices e anexos.| Biblioteca(s): Embrapa Florestas. |
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| 16. | | FREITAS, J. V. de; OLIVEIRA, Y. M. M. de; ABRANTES, M. A.; MATTOS, P. P. de; SCHAITZA, E. G.; PICHELLI, K. R.; AFONSO, S. R. Memories of the 25th IUFRO World Congress, Curitiba, Paraná, Brazil, September 29 to October 5, 2019. Brasília, DF: Embrapa, 2020. 104 p. il. color. Contém apêndices e anexos.| Biblioteca(s): Embrapa Florestas. |
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| 19. | | GONÇALVES, S. L. F.; FREITAS, J. V. de; VALE, P. R. P. do; BARROS, J. B.; DINIZ, J. S.; SILVA, I. C.; FERREIRA, A. S. Análise do fluxo da produção madeireira das empresas certificadas pelo Forest Stewardship Council (FSC) no Amazonas no período 1999-2000. In: CONGRESSO IBERO-AMERICANO DE PESQUISA E DESENVOLVIMENTO DE PRODUTOS FLORESTAIS, 2.; SEMINÁRIO EM TECNOLOGIA DA MADEIRA E PRODUTOS FLORESTAIS NÃO MADEIRÁVEIS, 1., 2002, Curitiba. Aproveitamento tecnológico da floresta ibero-americana: fonte de suprimento para o mundo: anais. [Curitiba]: Universidade Federal do Paraná: Fundação de Pesquisas Florestais do Paraná, [2002?]. 1 CD-ROM.| Biblioteca(s): Embrapa Florestas. |
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| 20. | | LUZ, N. B. da; GARRASTAZU, M. C.; ROSOT, M. A. D.; MARAN, J. C.; OLIVEIRA, Y. M. M. de; FRANCISCON, L.; CARDOSO, D. J.; FREITAS, J. V. de. Brazilian National Forest Inventory: a landscape scale approach to monitoring and assessing forested landscapes. Pesquisa Florestal Brasileira, Colombo, v. 38, e201701493, 2018. 14 p. Artigo de revisão.| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 32 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
04/02/2016 |
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Data da última atualização: |
02/07/2018 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
LUZ, N. B. da; OLIVEIRA, Y. M. M. de; ROSOT, M. A. D.; GARRASTAZU, M. C.; MESQUITA JÚNIOR, H. N. de; FREITAS, J. V. de; COSTA, C. R. da. |
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Afiliação: |
NAÍSSA BATISTA DA LUZ, FAO; YEDA MARIA MALHEIROS DE OLIVEIRA, CNPF; MARIA AUGUSTA DOETZER ROSOT, CNPF; MARILICE CORDEIRO GARRASTAZU, CNPF; HUMBERTO NAVARRO DE MESQUITA JÚNIOR, SERVIÇO FLORESTAL BRASILEIRO; JOBERTO VELOSO DE FREITAS, SERVIÇO FLORESTAL BRASILEIRO; CLAUBER ROGERIO DA COSTA, UNIVERSIDADE FEDERAL DO PARANA. |
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Título: |
Developments in forest monitoring under the Brazilian National Forest Inventory: multi-source and hybrid image classification approaches. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: WORLD FORESTRY CONGRESS, 14., 2015, Durban. Forests and people: investing in a sustainable future. Rome: FAO, 2015. |
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Páginas: |
8 p. |
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Idioma: |
Inglês |
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Conteúdo: |
Information on forest and tree resources as well as land use and land cover (LULC) maps are a growing demand which Brazilian National Forest Inventory (NFI-BR) is designed to meet through field and remote sensing surveys. Field data collection comprises biophysical variables for forest and environment condition assessment, as well as socioeconomic variables for characterization of how people living nearby forests use and perceive the forest resources. The landscape level, based on remote sensing survey and spatial analysis, focuses on variables such as forest fragmentation, changes in forest cover and land use, and the condition of forest along rivers and water bodies. Multi-temporal Landsat-8 (L-8) and RapidEye (RE) high resolution imagery and ancillary data are the sources of information for an intricate hybrid image classification approach. Object-oriented analysis coupled with pixel based multi-data classification is providing reliable information on forest, trees and LULC monitoring. Global forest cover data, Landsat-8 TOA reflectance as well as derived 32-day vegetation index composites along the year are being processed in a cloud computing environment, providing pixel-based 30m pre-classification results. These results and ancillary map information (i.e., urban areas, roads, rivers and water bodies) are included in an object-based approach based on RE 5m spatial resolution imagery to produce landscape sample units (LSU) LULC Maps. The described hybrid image classification technique takes advantage of multi-temporal Landsat-8 data, valuable ancillary information and high resolution RE data to produce good quality LULC maps for the landscape sample units of NFI-BR. MenosInformation on forest and tree resources as well as land use and land cover (LULC) maps are a growing demand which Brazilian National Forest Inventory (NFI-BR) is designed to meet through field and remote sensing surveys. Field data collection comprises biophysical variables for forest and environment condition assessment, as well as socioeconomic variables for characterization of how people living nearby forests use and perceive the forest resources. The landscape level, based on remote sensing survey and spatial analysis, focuses on variables such as forest fragmentation, changes in forest cover and land use, and the condition of forest along rivers and water bodies. Multi-temporal Landsat-8 (L-8) and RapidEye (RE) high resolution imagery and ancillary data are the sources of information for an intricate hybrid image classification approach. Object-oriented analysis coupled with pixel based multi-data classification is providing reliable information on forest, trees and LULC monitoring. Global forest cover data, Landsat-8 TOA reflectance as well as derived 32-day vegetation index composites along the year are being processed in a cloud computing environment, providing pixel-based 30m pre-classification results. These results and ancillary map information (i.e., urban areas, roads, rivers and water bodies) are included in an object-based approach based on RE 5m spatial resolution imagery to produce landscape sample units (LSU) LULC Maps. The described hybrid image classific... Mostrar Tudo |
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Palavras-Chave: |
Análise de imagem baseada em objeto; Cloud computing; Computação na nuvem; Landscape; Object-based image analysis; Paisagem; RapidEye. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/138475/1/2015-Yeda-WFC-Development.pdf
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Marc: |
LEADER 02657nam a2200277 a 4500
001 2036151
005 2018-07-02
008 2015 bl uuuu u00u1 u #d
100 1 $aLUZ, N. B. da
245 $aDevelopments in forest monitoring under the Brazilian National Forest Inventory$bmulti-source and hybrid image classification approaches.$h[electronic resource]
260 $aIn: WORLD FORESTRY CONGRESS, 14., 2015, Durban. Forests and people: investing in a sustainable future. Rome: FAO$c2015
300 $a8 p.
520 $aInformation on forest and tree resources as well as land use and land cover (LULC) maps are a growing demand which Brazilian National Forest Inventory (NFI-BR) is designed to meet through field and remote sensing surveys. Field data collection comprises biophysical variables for forest and environment condition assessment, as well as socioeconomic variables for characterization of how people living nearby forests use and perceive the forest resources. The landscape level, based on remote sensing survey and spatial analysis, focuses on variables such as forest fragmentation, changes in forest cover and land use, and the condition of forest along rivers and water bodies. Multi-temporal Landsat-8 (L-8) and RapidEye (RE) high resolution imagery and ancillary data are the sources of information for an intricate hybrid image classification approach. Object-oriented analysis coupled with pixel based multi-data classification is providing reliable information on forest, trees and LULC monitoring. Global forest cover data, Landsat-8 TOA reflectance as well as derived 32-day vegetation index composites along the year are being processed in a cloud computing environment, providing pixel-based 30m pre-classification results. These results and ancillary map information (i.e., urban areas, roads, rivers and water bodies) are included in an object-based approach based on RE 5m spatial resolution imagery to produce landscape sample units (LSU) LULC Maps. The described hybrid image classification technique takes advantage of multi-temporal Landsat-8 data, valuable ancillary information and high resolution RE data to produce good quality LULC maps for the landscape sample units of NFI-BR.
653 $aAnálise de imagem baseada em objeto
653 $aCloud computing
653 $aComputação na nuvem
653 $aLandscape
653 $aObject-based image analysis
653 $aPaisagem
653 $aRapidEye
700 1 $aOLIVEIRA, Y. M. M. de
700 1 $aROSOT, M. A. D.
700 1 $aGARRASTAZU, M. C.
700 1 $aMESQUITA JÚNIOR, H. N. de
700 1 $aFREITAS, J. V. de
700 1 $aCOSTA, C. R. da
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