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| 101. |  | CRAVO, M. da S.; GALVÃO, E. U. P.; SMYTH, T. J.; SOUZA, B. D. L. de. Sistema bragantino: alternativa inovadora para produção de alimentos em áreas degradadas na Amazônia. Amazônia: ciência & desenvolvimento, Belém, PA, v. 4, n. 7, p. 221-239, jul./dez. 2008.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 106. | | NASCIMENTO, E. V. S. do; BRASIL, E. C.; CRAVO, M. da S. Produção e nutrição mineral do milho em função de modos de aplicação, fontes e doses de fósforo em um latossolo amarelo distrófico. In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 29.; REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 13.; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 11.; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 8., 2010, Guarapari. Fontes de nutrientes e produção agrícola: modelando o futuro: anais. Viçosa, MG: SBCS, 2010. FERTBIO 2010.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 110. | | BRASIL, E. C.; LIMA, E. do V.; CRAVO, M. da S. Uso de gesso na agricultura. In: BRASIL, E. C.; CRAVO, M. da S.; VIEGAS, I. de J. M. (Ed.). Recomendações de calagem e adubação para o estado do Pará. 2. ed. rev. e atual. Brasília, DF: Embrapa, 2020. Pt. 1, cap. 11, p. 133-145.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 114. | | ZECH, W.; SCHROTH, G.; CRAVO, M. da S.; TEIXEIRA, W. G.; KAISER, K.; LEHMANN, J. Water and nutrient fluxes as indicators for the sustainability of different land-use systems on the terra firme near Manaus - a project overview. In: LIEBEREI, R.; BIANCHI, H.; VOB, K., ed. Proceedings of the third SHIFT-Workshop, Manaus march 15-19, 1998. Bonn: Bundesministerium fur Bildung und Forschung, 1998. p.435-440.| Biblioteca(s): Embrapa Florestas. |
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| 115. | | ZECH, W.; SCHROTH, G.; CRAVO, M. da S.; TEIXEIRA, W. G.; KAISER, K.; LEHMANN, J. Water and nutrient fluxes as indicators for the sustainability of different land-use systems on the terra firme near Manaus - a project overview. In: SHIFT - WORKSHOP, 3., 1998, Manaus. Proceedings... Bonn: BMBF, 1998. p. 435-440.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 116. | | QUINTELA, P. D. A.; SILVA, M. B. da; RODRIGUES, E. de C. F.; CRAVO, M. da S. Avaliação da produtividade das cultivares de Oryza sativa nas entrelinhas da palma de óleo (Elaeis guineenses) - Tailândia-PA. In: SEMINÁRIO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA AMAZÔNIA ORIENTAL, 17.; SEMINÁRIO DE PÓS-GRADUAÇÃO DA EMBRAPA AMAZÔNIA ORIENTAL, 1., 2013, Belém, PA. Anais. Belém, PA: Embrapa Amazônia Oriental, 2013. 1 CD-ROM. PIBIC 2013.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 118. | | NOGUEIRA, O. L.; MULLER, A. A.; FARIAS NETO, J. T. de; JARDIM, M. A. G.; CRAVO, M. da S. Desenvolvimento, validação e transferência de tecnologias de sistemas de produção de açaizeiros em área de várzea. In: WORKSHOP TECNOLÓGICO DE FRUTICULTURA, 2004, Belém, PA. Anais... Belém, PA: PPTA: SECTAM: Secretaria Especial de Produção, 2004. 1 CD-ROM.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 119. | | FILGUEIRAS, G. C.; SANTOS, M. A. S. dos; HOMMA, A. K. O.; REBELLO, F. K.; CRAVO, M. da S. Aspectos socioeconômicos. In: ZILLI, J E.; VILARINHO, A. A.; ALVES, J. M. A. (Ed.). A cultura do feijão-caupi na Amazônia brasileira. Boa Vista, RR: Embrapa Roraima, 2009. Cap. 1, p. 23-58.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 163 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
|
Data corrente: |
06/01/2009 |
|
Data da última atualização: |
26/10/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
JONATHAN, M.; ARVOR, D.; MEIRELLES, M. S. P.; DUBREUIL, V. |
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Afiliação: |
M. Jonathan, Université Rennes; D. Arvor, Université Rennes; MARGARETH GONCALVES SIMOES, CNPS; V. Dubreuil, Université Rennes. |
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Título: |
Field-oriented assessment of agricultural crops through temporal segmentation of modis VI data. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 37, pt. B7, p. 921-926, 2008. Edition of Proceedings of XXI ISPRS Congress, Beijing, Jul. 2008. |
|
Idioma: |
Inglês |
|
Conteúdo: |
Monitoring agricultural crops constitutes a vital task for the general understanding of land use spatio-temporal dynamics. This paper presents an approach for the enhancement of current crop monitoring capabilities on a regional scale, in order to allow for the analysis of environmental and socio-economic drivers and impacts of agricultural land use. This work discusses the advantages and current limitations of using 250m VI data from the Moderate Resolution Imaging Spectroradiometer (MODIS) for this purpose, with emphasis in the difficulty of correctly analyzing pixels whose temporal responses are disturbed due to certain sources of interference such as mixed or heterogeneous land cover. It is shown that the influence of noisy or disturbed pixels can be minimized, and a much more consistent and useful result can be attained, if individual agricultural fields are identified and each field's pixels are analyzed in a collective manner. As such, a method is proposed that makes use of image segmentation techniques based on MODIS temporal information in order to identify portions of the study area that agree with actual agricultural field borders. The pixels of each portion or segment are then analyzed individually in order to estimate the reliability of the temporal signal observed and the consequent relevance of any estimation of land use from that data. The proposed method was applied in the state of Mato Grosso, in mid-western Brazil, where extensive ground truth data was available. Experiments were carried out using several supervised classification algorithms as well as different subsets of land cover classes, in order to test the methodology in a comprehensive way. Results show that the proposed method is capable of consistently improving classification results not only in terms of overall accuracy but also qualitatively by allowing a better understanding of the land use patterns detected. It thus provides a practical and straightforward procedure for enhancing crop-mapping capabilities using temporal series of moderate resolution remote sensing data. MenosMonitoring agricultural crops constitutes a vital task for the general understanding of land use spatio-temporal dynamics. This paper presents an approach for the enhancement of current crop monitoring capabilities on a regional scale, in order to allow for the analysis of environmental and socio-economic drivers and impacts of agricultural land use. This work discusses the advantages and current limitations of using 250m VI data from the Moderate Resolution Imaging Spectroradiometer (MODIS) for this purpose, with emphasis in the difficulty of correctly analyzing pixels whose temporal responses are disturbed due to certain sources of interference such as mixed or heterogeneous land cover. It is shown that the influence of noisy or disturbed pixels can be minimized, and a much more consistent and useful result can be attained, if individual agricultural fields are identified and each field's pixels are analyzed in a collective manner. As such, a method is proposed that makes use of image segmentation techniques based on MODIS temporal information in order to identify portions of the study area that agree with actual agricultural field borders. The pixels of each portion or segment are then analyzed individually in order to estimate the reliability of the temporal signal observed and the consequent relevance of any estimation of land use from that data. The proposed method was applied in the state of Mato Grosso, in mid-western Brazil, where extensive ground truth data was ava... Mostrar Tudo |
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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/148284/1/31.pdf
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Marc: |
LEADER 02860nam a2200193 a 4500
001 1333971
005 2021-10-26
008 2008 bl uuuu u00u1 u #d
100 1 $aJONATHAN, M.
245 $aField-oriented assessment of agricultural crops through temporal segmentation of modis VI data.$h[electronic resource]
260 $aInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 37, pt. B7, p. 921-926, 2008. Edition of Proceedings of XXI ISPRS Congress, Beijing, Jul. 2008.$c2008
520 $aMonitoring agricultural crops constitutes a vital task for the general understanding of land use spatio-temporal dynamics. This paper presents an approach for the enhancement of current crop monitoring capabilities on a regional scale, in order to allow for the analysis of environmental and socio-economic drivers and impacts of agricultural land use. This work discusses the advantages and current limitations of using 250m VI data from the Moderate Resolution Imaging Spectroradiometer (MODIS) for this purpose, with emphasis in the difficulty of correctly analyzing pixels whose temporal responses are disturbed due to certain sources of interference such as mixed or heterogeneous land cover. It is shown that the influence of noisy or disturbed pixels can be minimized, and a much more consistent and useful result can be attained, if individual agricultural fields are identified and each field's pixels are analyzed in a collective manner. As such, a method is proposed that makes use of image segmentation techniques based on MODIS temporal information in order to identify portions of the study area that agree with actual agricultural field borders. The pixels of each portion or segment are then analyzed individually in order to estimate the reliability of the temporal signal observed and the consequent relevance of any estimation of land use from that data. The proposed method was applied in the state of Mato Grosso, in mid-western Brazil, where extensive ground truth data was available. Experiments were carried out using several supervised classification algorithms as well as different subsets of land cover classes, in order to test the methodology in a comprehensive way. Results show that the proposed method is capable of consistently improving classification results not only in terms of overall accuracy but also qualitatively by allowing a better understanding of the land use patterns detected. It thus provides a practical and straightforward procedure for enhancing crop-mapping capabilities using temporal series of moderate resolution remote sensing data.
650 $aSensoriamento Remoto
650 $aUso da Terra
653 $aMapeamento de culturas
653 $aProcessamento de imagens multitemporais
700 1 $aARVOR, D.
700 1 $aMEIRELLES, M. S. P.
700 1 $aDUBREUIL, V.
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