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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
14/10/2021 |
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Data da última atualização: |
14/10/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
JONATHAN, M.; MEIRELLES, M. S. P.; BERROIR, J.-P.; HERLIN, I. |
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Afiliação: |
M. JONATHAN, UERJ; MARGARETH GONCALVES SIMOES, CNPS; J.-P. BERROIR, INRIA; I. HERLIN, INRIA. |
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Título: |
Regional scale land use/land cover classification using temporal series of MODIS data. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 36, pt. 7, p. 522-527, 2006. Proceedings of the ISPRS Commission VII Symposium Remote Sensing: From Pixels to Processes. |
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Idioma: |
Inglês |
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Conteúdo: |
This paper describes a methodology for systematic land use/land cover classification on a regional scale, with emphasis on a low cost and highly automatized approach. This methodology is based on multitemporal analyses of surface reflectance data from the Moderate Resolution Imaging Spectroradiometer (MODIS), which is located on board NASA's Terra and Aqua satellites and features high temporal frequency, extensive coverage, and extremely low costs for data acquisition. A sequence of automatized procedures were developed for MODIS data pre-processing, as well as for the training and execution of a supervised classification algorithm, where temporal profiles are fitted to smooth polynomial curves and intelligent curve features are then computed in order to reduce data dimensionality and improve profile interpretability, thus providing a more robust classification approach. A case study was performed in the High Taquari Basin, in the states of Mato Grosso do Sul and Mato Grosso, Brazil, which showed that the method was indeed capable of generalizing well over the entire region of study (over 25,000km2), effectively discriminating between areas of agriculture, pasture, and savannah. The methodology was also seen to be quite successful in identifying areas of deforestation, which is of particular interest for the monitoring of land use and land use change in the region. |
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Palavras-Chave: |
Mapeamento de culturas; Processamento de imagens multitemporais. |
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Thesagro: |
Sensoriamento Remoto; Uso da Terra. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/226967/1/Regional-scale-land-use-2006.pdf
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Marc: |
LEADER 02192naa a2200205 a 4500
001 2135349
005 2021-10-14
008 2006 bl uuuu u00u1 u #d
100 1 $aJONATHAN, M.
245 $aRegional scale land use/land cover classification using temporal series of MODIS data.$h[electronic resource]
260 $c2006
520 $aThis paper describes a methodology for systematic land use/land cover classification on a regional scale, with emphasis on a low cost and highly automatized approach. This methodology is based on multitemporal analyses of surface reflectance data from the Moderate Resolution Imaging Spectroradiometer (MODIS), which is located on board NASA's Terra and Aqua satellites and features high temporal frequency, extensive coverage, and extremely low costs for data acquisition. A sequence of automatized procedures were developed for MODIS data pre-processing, as well as for the training and execution of a supervised classification algorithm, where temporal profiles are fitted to smooth polynomial curves and intelligent curve features are then computed in order to reduce data dimensionality and improve profile interpretability, thus providing a more robust classification approach. A case study was performed in the High Taquari Basin, in the states of Mato Grosso do Sul and Mato Grosso, Brazil, which showed that the method was indeed capable of generalizing well over the entire region of study (over 25,000km2), effectively discriminating between areas of agriculture, pasture, and savannah. The methodology was also seen to be quite successful in identifying areas of deforestation, which is of particular interest for the monitoring of land use and land use change in the region.
650 $aSensoriamento Remoto
650 $aUso da Terra
653 $aMapeamento de culturas
653 $aProcessamento de imagens multitemporais
700 1 $aMEIRELLES, M. S. P.
700 1 $aBERROIR, J.-P.
700 1 $aHERLIN, I.
773 $tInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences$gv. 36, pt. 7, p. 522-527, 2006. Proceedings of the ISPRS Commission VII Symposium Remote Sensing: From Pixels to Processes.
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Embrapa Solos (CNPS) |
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| 1. |  | BACCARO, F. B.; DRUCKER, D. P.; VALE, J. DO; OLIVEIRA, M. L. DE; MAGALHÃES, C.; LEPSCH-CUNHA, N.; MAGNUSSON, W. E. A reserva Ducke. In: OLIVEIRA, M. L.; BACCARO, F. B.; BRAGA-NETO, R.; MAGNUSSON, W. E. Reserva Ducke: a biodiversidade amazônica através de uma grade. Manaus: INPA, 2011. p. 11-20.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Territorial. |
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| 2. | | LYRA, B. M.; GUIMARÃES, M. B.; PEREIRA, L. C.; VALE, J. do; CAMPANHA, R. B.; CONCEIÇÃO, A. A.; BATISTA, P. O. M. D.; SIQUEIRA, F. G. de; MENDONCA, S. Propriedades antimicrobianas e antioxidantes de extratos produzidos a partir de colonizados de basidiomicetos em tortas oleaginosas. In: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 6., 2020, Brasília, DF. Anais... Brasília, DF: Embrapa, 2020. p. 29-36 il.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Agroenergia. |
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| 3. | | MAGNUSSON, W.; BRAGA-NETO, R.; PEZZINI, F.; BACCARO, F.; BERGALLO, H.; PENHA, J.; RODRIGUES, D.; VERDADE, L. M.; LIMA, A.; ALBERNAZ, A. L.; HERO, J-M.; LAWSON, B.; CASTILHO, C.; DRUCKER, D. P.; FRANKLIN, E.; MENDONÇA, F.; COSTA, F.; GALDINO, G.; CASTLEY, G.; ZUANON, J.; VALE, J. DO; SANTOS, J. L. C. DOS; LUIZÃO, R.; CINTRA, R.; BARBOSA, R. I.; LISBOA, A.; KOBLITZ, R. V.; CUNHA, C. N. DA; PONTES, A. R. M. Biodiversidade e monitoramento ambiental integrado. Santo André, SP: Áttema Editorial, 2013. Livro eletrônico. Edição Bilíngue: português /inglês| Tipo: Autoria/Organização/Edição de Livros |
| Biblioteca(s): Embrapa Territorial. |
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| 4. | | MAGNUSSON, W.; BRAGA-NETO, R.; PEZZINI, F.; BACCARO, F.; BERGALLO, H.; PENHA, J.; RODRIGUES, D.; VERDADE, L. M.; LIMA, A.; ALBERNAZ, A. L.; HERO, J-M.; LAWSON, B.; CASTILHO, C. V. de; DRUCKER, D. P.; FRANKLIN, E.; MENDONÇA, F.; COSTA, F.; GALDINO, G.; CASTLEY, G.; ZUANON, J.; VALE, J. DO; SANTOS, J. L. C. DOS; LUIZÃO, R.; CINTRA, R.; BARBOSA, R. I.; LISBOA, A.; KOBLITZ, R. V.; CUNHA, C. N. DA; PONTES, A. R. M. Biodiversidade e monitoramento ambiental integrado. Santo André, SP: Áttema Editorial, 2013. 351 p. Livro eletrônico. Edição Bilíngue: português /inglês| Tipo: Autoria/Organização/Edição de Livros |
| Biblioteca(s): Embrapa Roraima. |
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