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Registro Completo |
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Biblioteca(s): |
Embrapa Agroindústria Tropical; Embrapa Amapá; Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental; Embrapa Arroz e Feijão; Embrapa Meio Norte / UEP-Parnaíba; Embrapa Rondônia; Embrapa Tabuleiros Costeiros; Embrapa Unidades Centrais. |
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Data corrente: |
14/09/1995 |
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Data da última atualização: |
06/11/2012 |
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Autoria: |
FONTES, H. R.; LEAL, M. de L. da S. |
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Afiliação: |
HUMBERTO ROLLEMBERG FONTES, CPATC. |
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Título: |
Efeito da irrigação, cobertura morta e entalhe da semente, sobre germinação de coqueiro gigante-do-Brasil. |
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Ano de publicação: |
1994 |
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Fonte/Imprenta: |
Aracaju: EMBRAPA-CNPCo, 1994. |
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Páginas: |
7 p. |
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Série: |
(EMBRAPA-CNPCo. Comunicado Técnico, 5). |
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Idioma: |
Português |
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Conteúdo: |
Com o objetivo de estudar os efeitos das práticas de irrigação, cobertura morta e entalhe da semente sobre a velocidade de germinação de sementes de coqueiro, da variedade Gigante-do-Brasil, instalou-se um experimento com delineamento inteiramente casualizado, em esquema fatorial (2 x 2 x 2), com quatro repetições, totalizando 32 parcelas. |
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Palavras-Chave: |
Brasil; Coco gigante; Coconut; Cocus nucifera; Coqueiro; Coqueiro - Irrigação; Coqueiro gigante; Fruit; Frutas; Gigante-do-Brasil; Itaporanga; Seed; Sementes; Sergipe; Velocidade de germinação. |
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Thesagro: |
Cobertura Morta; Coco; Cocos Nucifera; Fruta; Germinação; Irrigação; Muda; Semente. |
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Thesaurus Nal: |
Brazil; germination; irrigation; mulching; seed germination. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/69422/1/CPATC-COM.-TEC.-5-94.pdf
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Marc: |
LEADER 01571nam a2200481 a 4500
001 1358135
005 2012-11-06
008 1994 bl uuuu u0uu1 u #d
100 1 $aFONTES, H. R.
245 $aEfeito da irrigação, cobertura morta e entalhe da semente, sobre germinação de coqueiro gigante-do-Brasil.
260 $aAracaju: EMBRAPA-CNPCo$c1994
300 $a7 p.
490 $a(EMBRAPA-CNPCo. Comunicado Técnico, 5).
520 $aCom o objetivo de estudar os efeitos das práticas de irrigação, cobertura morta e entalhe da semente sobre a velocidade de germinação de sementes de coqueiro, da variedade Gigante-do-Brasil, instalou-se um experimento com delineamento inteiramente casualizado, em esquema fatorial (2 x 2 x 2), com quatro repetições, totalizando 32 parcelas.
650 $aBrazil
650 $agermination
650 $airrigation
650 $amulching
650 $aseed germination
650 $aCobertura Morta
650 $aCoco
650 $aCocos Nucifera
650 $aFruta
650 $aGerminação
650 $aIrrigação
650 $aMuda
650 $aSemente
653 $aBrasil
653 $aCoco gigante
653 $aCoconut
653 $aCocus nucifera
653 $aCoqueiro
653 $aCoqueiro - Irrigação
653 $aCoqueiro gigante
653 $aFruit
653 $aFrutas
653 $aGigante-do-Brasil
653 $aItaporanga
653 $aSeed
653 $aSementes
653 $aSergipe
653 $aVelocidade de germinação
700 1 $aLEAL, M. de L. da S.
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Registro original: |
Embrapa Tabuleiros Costeiros (CPATC) |
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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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