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Registro Completo |
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Biblioteca(s): |
Embrapa Amapá; Embrapa Florestas; Embrapa Pantanal. |
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Data corrente: |
27/11/2013 |
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Data da última atualização: |
20/03/2017 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
PAIVA, P. M. V. de; BERGIER, I.; NOVOTNY, E. H.; MAIA, C. M. B. de F. |
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Afiliação: |
PAULO MARCELO VERAS DE PAIVA, CPAF-AP; IVAN BERGIER TAVARES DE LIMA, CPAP; ETELVINO HENRIQUE NOVOTNY, CNPS; CLAUDIA MARIA BRANCO DE F MAIA, CNPF. |
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Título: |
Relação entre temperatura de pirólise e a porosidade do mesocarpo de frutos da castanheira-do-Brasil. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
In: ENCONTRO BRASILEIRO DE SUBSTÂNCIAS HÚMICAS, 10., 2013, Santo Antônio de Goiás. Matéria orgânica e qualidade ambiental: trabalhos... Santo Antônio de Goiás: Sociedade Internacional de Substâncias Húmicas, 2013. p. 311-313. |
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Idioma: |
Português |
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Conteúdo: |
A casca dos frutos de castanhado-Brasil (Bertholletia excelsa) é um resíduo abundante, mas praticamente sem aproveitamento nas regiões extrativistas da Amazônia. Sendo assim, trata-se de uma matéria-prima com potencial para a produção de carvão para uso agronômico. Neste trabalho, avalia-se por meio de imagens de microscopia eletrônica de varredura o desenvolvimento da porosidade em carvões obtidos a partir das cascas dos frutos de castanheira-do-Brasil pirolisadas a 350, 450 e 550°C. Devido às particularidades morfológicas deste tecido vegetal, a porosidade do carvão aumenta com a temperatura, independente da fração granulométrica analisada. |
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Palavras-Chave: |
Biocarvão. |
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Thesagro: |
Materia prima; Materia seca; Residuo orgânico. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/93250/1/CPAFAP-2013-Relacao-entre-temperatura-de-pirolise.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/93487/1/Relacao-entre-temperatura-de-pirolise.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/93256/1/Relacao-entre-temperatura-de-pirolise.pdf
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Marc: |
LEADER 01460nam a2200193 a 4500
001 1972312
005 2017-03-20
008 2013 bl uuuu u00u1 u #d
100 1 $aPAIVA, P. M. V. de
245 $aRelação entre temperatura de pirólise e a porosidade do mesocarpo de frutos da castanheira-do-Brasil.$h[electronic resource]
260 $aIn: ENCONTRO BRASILEIRO DE SUBSTÂNCIAS HÚMICAS, 10., 2013, Santo Antônio de Goiás. Matéria orgânica e qualidade ambiental: trabalhos... Santo Antônio de Goiás: Sociedade Internacional de Substâncias Húmicas, 2013. p. 311-313.$c2013
520 $aA casca dos frutos de castanhado-Brasil (Bertholletia excelsa) é um resíduo abundante, mas praticamente sem aproveitamento nas regiões extrativistas da Amazônia. Sendo assim, trata-se de uma matéria-prima com potencial para a produção de carvão para uso agronômico. Neste trabalho, avalia-se por meio de imagens de microscopia eletrônica de varredura o desenvolvimento da porosidade em carvões obtidos a partir das cascas dos frutos de castanheira-do-Brasil pirolisadas a 350, 450 e 550°C. Devido às particularidades morfológicas deste tecido vegetal, a porosidade do carvão aumenta com a temperatura, independente da fração granulométrica analisada.
650 $aMateria prima
650 $aMateria seca
650 $aResiduo orgânico
653 $aBiocarvão
700 1 $aBERGIER, I.
700 1 $aNOVOTNY, E. H.
700 1 $aMAIA, C. M. B. de F.
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Registro original: |
Embrapa Amapá (CPAF-AP) |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
20/06/2017 |
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Data da última atualização: |
10/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
BELLÓN, B.; BEGUÉ, A.; LO SEEN, D.; ALMEIDA, C. A. de; SIMÕES, M. |
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Afiliação: |
BEATRIZ BELLÓN, Cirad, UMR TETIS; AGNÈS BEGUÉ, Cirad, UMR TETIS; DANNY LO SEEN, Cirad, UMR TETIS; CLAUDIO APARECIDO DE ALMEIDA, INPE; MARGARETH GONCALVES SIMOES, CNPS. |
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Título: |
A remote sensing approach for regional-scale mapping of agricultural land-use systems based on NDVI time series. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Remote Sensing, v. 9, n. 6, 600, Jun. 2017. |
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DOI: |
https://doi.org/10.3390/rs9060600 |
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Idioma: |
Inglês |
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Conteúdo: |
In response to the need for generic remote sensing tools to support large-scale agricultural monitoring, we present a new approach for regional-scale mapping of agricultural land-use systems (ALUS) based on object-based Normalized Difference Vegetation Index (NDVI) time series analysis. The approach consists of two main steps. First, to obtain relatively homogeneous land units in terms of phenological patterns, a principal component analysis (PCA) is applied to an annual MODIS NDVI time series, and an automatic segmentation is performed on the resulting high-order principal component images. Second, the resulting land units are classified into the crop agriculture domain or the livestock domain based on their land-cover characteristics. The crop agriculture domain land units are further classified into different cropping systems based on the correspondence of their NDVI temporal profiles with the phenological patterns associated with the cropping systems of the study area. A map of the main ALUS of the Brazilian state of Tocantins was produced for the 2013-2014 growing season with the new approach, and a significant coherence was observed between the spatial distribution of the cropping systems in the final ALUS map and in a reference map extracted from the official agricultural statistics of the Brazilian Institute of Geography and Statistics (IBGE). This study shows the potential of remote sensing techniques to provide valuable baseline spatial information for supporting agricultural monitoring and for large-scale land-use systems analysis. MenosIn response to the need for generic remote sensing tools to support large-scale agricultural monitoring, we present a new approach for regional-scale mapping of agricultural land-use systems (ALUS) based on object-based Normalized Difference Vegetation Index (NDVI) time series analysis. The approach consists of two main steps. First, to obtain relatively homogeneous land units in terms of phenological patterns, a principal component analysis (PCA) is applied to an annual MODIS NDVI time series, and an automatic segmentation is performed on the resulting high-order principal component images. Second, the resulting land units are classified into the crop agriculture domain or the livestock domain based on their land-cover characteristics. The crop agriculture domain land units are further classified into different cropping systems based on the correspondence of their NDVI temporal profiles with the phenological patterns associated with the cropping systems of the study area. A map of the main ALUS of the Brazilian state of Tocantins was produced for the 2013-2014 growing season with the new approach, and a significant coherence was observed between the spatial distribution of the cropping systems in the final ALUS map and in a reference map extracted from the official agricultural statistics of the Brazilian Institute of Geography and Statistics (IBGE). This study shows the potential of remote sensing techniques to provide valuable baseline spatial information for supporting a... Mostrar Tudo |
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Palavras-Chave: |
Estratificação; GEOBIA; MODIS; PCA. |
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Thesagro: |
Sistema de Cultivo. |
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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/160871/1/2017-011.pdf
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Marc: |
LEADER 02273naa a2200241 a 4500
001 2071127
005 2021-11-10
008 2017 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/rs9060600$2DOI
100 1 $aBELLÓN, B.
245 $aA remote sensing approach for regional-scale mapping of agricultural land-use systems based on NDVI time series.$h[electronic resource]
260 $c2017
520 $aIn response to the need for generic remote sensing tools to support large-scale agricultural monitoring, we present a new approach for regional-scale mapping of agricultural land-use systems (ALUS) based on object-based Normalized Difference Vegetation Index (NDVI) time series analysis. The approach consists of two main steps. First, to obtain relatively homogeneous land units in terms of phenological patterns, a principal component analysis (PCA) is applied to an annual MODIS NDVI time series, and an automatic segmentation is performed on the resulting high-order principal component images. Second, the resulting land units are classified into the crop agriculture domain or the livestock domain based on their land-cover characteristics. The crop agriculture domain land units are further classified into different cropping systems based on the correspondence of their NDVI temporal profiles with the phenological patterns associated with the cropping systems of the study area. A map of the main ALUS of the Brazilian state of Tocantins was produced for the 2013-2014 growing season with the new approach, and a significant coherence was observed between the spatial distribution of the cropping systems in the final ALUS map and in a reference map extracted from the official agricultural statistics of the Brazilian Institute of Geography and Statistics (IBGE). This study shows the potential of remote sensing techniques to provide valuable baseline spatial information for supporting agricultural monitoring and for large-scale land-use systems analysis.
650 $aSistema de Cultivo
653 $aEstratificação
653 $aGEOBIA
653 $aMODIS
653 $aPCA
700 1 $aBEGUÉ, A.
700 1 $aLO SEEN, D.
700 1 $aALMEIDA, C. A. de
700 1 $aSIMÕES, M.
773 $tRemote Sensing$gv. 9, n. 6, 600, Jun. 2017.
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Embrapa Solos (CNPS) |
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