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Registro Completo |
Biblioteca(s): |
Embrapa Amazônia Oriental; Embrapa Meio Ambiente; Embrapa Semiárido; Embrapa Unidades Centrais. |
Data corrente: |
20/06/1994 |
Data da última atualização: |
11/12/2007 |
Autoria: |
SOUSA, I. S. F. de. |
Título: |
Accumulation of capital and agricultural research technology: a Brazilian case study. |
Ano de publicação: |
1980 |
Fonte/Imprenta: |
Ohio: The Ohio State University, 1980. |
Páginas: |
283p. |
Idioma: |
Inglês |
Notas: |
Tese Doutorado. |
Conteúdo: |
The principal aim this dissertation has been an investifation into the relationship between agricultural research technology and the accumulation of capital. The relationship that we explore is a more technical and specific expression of the commonly stated relationhip between technology and society. Chapters 1 through 5 are consequently involved in the process of refornulating the problem and postulating the connections between technology and society in view of that reformulation. Chapter 6 serves as an empiracal ilustration of some of the connections that were postulated. The investifation into the relationship between technology and society involved the pursuit of three objectives that can be summarized as: (1) a reformunation of the problem; (2) the pulling together of a theoretical framewoork capable of broadly explaning some of the fundamental determinants in relations; and (3) using Brazils research organization, EMBRAPA, as an illustration, an empirical analysis of foregoing theoretical discussiosns and reformulations. |
Palavras-Chave: |
Acumulação; Aspecto economico; Capital formation; Capital productivity; Capitalismo; Interesse do capital; Reseach. |
Thesagro: |
Agricultura; Capital; Pesquisa; Pesquisa Agrícola; Sociologia Rural; Tecnologia. |
Thesaurus Nal: |
agriculture; capitalism; research; rural sociology; technology. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01960nam a2200349 a 4500 001 1084348 005 2007-12-11 008 1980 bl uuuu m 00u1 u #d 100 1 $aSOUSA, I. S. F. de 245 $aAccumulation of capital and agricultural research technology$ba Brazilian case study. 260 $aOhio: The Ohio State University$c1980 300 $a283p. 500 $aTese Doutorado. 520 $aThe principal aim this dissertation has been an investifation into the relationship between agricultural research technology and the accumulation of capital. The relationship that we explore is a more technical and specific expression of the commonly stated relationhip between technology and society. Chapters 1 through 5 are consequently involved in the process of refornulating the problem and postulating the connections between technology and society in view of that reformulation. Chapter 6 serves as an empiracal ilustration of some of the connections that were postulated. The investifation into the relationship between technology and society involved the pursuit of three objectives that can be summarized as: (1) a reformunation of the problem; (2) the pulling together of a theoretical framewoork capable of broadly explaning some of the fundamental determinants in relations; and (3) using Brazils research organization, EMBRAPA, as an illustration, an empirical analysis of foregoing theoretical discussiosns and reformulations. 650 $aagriculture 650 $acapitalism 650 $aresearch 650 $arural sociology 650 $atechnology 650 $aAgricultura 650 $aCapital 650 $aPesquisa 650 $aPesquisa Agrícola 650 $aSociologia Rural 650 $aTecnologia 653 $aAcumulação 653 $aAspecto economico 653 $aCapital formation 653 $aCapital productivity 653 $aCapitalismo 653 $aInteresse do capital 653 $aReseach
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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
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Registro Completo
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
31/07/2018 |
Data da última atualização: |
31/07/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
CHEN, Y.; LU, D.; MORAN, E.; BATISTELLA, M.; DUTRA, L. V.; SANCHES, I. D. A.; SILVA, R. F. B. da; HUANG, J.; LUIZ, A. J. B.; OLIVEIRA, M. A. F. de. |
Afiliação: |
YAOLINAG CHEN, Zhejiang Agriculture and Forestry University; DENGSHENG LU, Zhejiang Agriculture and Forestry University; EMILIO MORAN, Michigan State University; MATEUS BATISTELLA, CNPTIA; LUCIANO VIEIRA DUTRA, INPE; IARA DEL ARCO SANCHES, INPE; RAMON FELIPE BICUDO DA SILVA, Unicamp; JINGFENG HUANG, Zhejiang University; ALFREDO JOSE BARRETO LUIZ, CNPMA; MARIA ANTONIA FALCAO DE OLIVEIRA, INPE. |
Título: |
Mapping croplands, cropping patterns, and crop types using MODIS time-series data. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
International Journal of Applied Earth Observation and Geoinformation, v. 69, p. 133-147, 2018. |
DOI: |
https://doi.org/10.1016/j.jag.2018.03.00 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: The importance of mapping regional and global cropland distribution in timely ways has been recognized, but separation of crop types and multiple cropping patterns is challenging due to their spectral similarity. This study developed a new approach to identify crop types (including soy, cotton and maize) and cropping patterns (Soy-Maize, Soy-Cotton, Soy-Pasture, Soy-Fallow, Fallow-Cotton and Single crop) in the state of Mato Grosso, Brazil. The Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) time series data for 2015 and 2016 and field survey data were used in this research. The major steps of this proposed approach include: (1) reconstructing NDVI time series data by removing the cloud-contaminated pixels using the temporal interpolation algorithm, (2) identifying the best periods and developing temporal indices and phenological parameters to distinguish croplands from other land cover types, and (3) developing crop temporal indices to extract cropping patterns using NDVI time-series data and group cropping patterns into crop types. Decision tree classifier was used to map cropping patterns based on these temporal indices. Croplands from Landsat imagery in 2016, cropping pattern samples from field survey in 2016, and the planted area of crop types in 2015 were used for accuracy assessment. Overall accuracies of approximately 90%, 73% and 86%, respectively were obtained for croplands, cropping patterns, and crop types. The adjusted coefficients of determination of total crop, soy, maize, and cotton areas with corresponding statistical areas were 0.94, 0.94, 0.88 and 0.88, respectively. This research indicates that the proposed approach is promising for mapping large-scale croplands, their cropping patterns and crop types. MenosAbstract: The importance of mapping regional and global cropland distribution in timely ways has been recognized, but separation of crop types and multiple cropping patterns is challenging due to their spectral similarity. This study developed a new approach to identify crop types (including soy, cotton and maize) and cropping patterns (Soy-Maize, Soy-Cotton, Soy-Pasture, Soy-Fallow, Fallow-Cotton and Single crop) in the state of Mato Grosso, Brazil. The Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) time series data for 2015 and 2016 and field survey data were used in this research. The major steps of this proposed approach include: (1) reconstructing NDVI time series data by removing the cloud-contaminated pixels using the temporal interpolation algorithm, (2) identifying the best periods and developing temporal indices and phenological parameters to distinguish croplands from other land cover types, and (3) developing crop temporal indices to extract cropping patterns using NDVI time-series data and group cropping patterns into crop types. Decision tree classifier was used to map cropping patterns based on these temporal indices. Croplands from Landsat imagery in 2016, cropping pattern samples from field survey in 2016, and the planted area of crop types in 2015 were used for accuracy assessment. Overall accuracies of approximately 90%, 73% and 86%, respectively were obtained for croplands, cropping patterns, and crop t... Mostrar Tudo |
Palavras-Chave: |
Crop types; Croplands; Cropping patterns; Decision tree classifier; MODIS NDVI. |
Thesagro: |
Algodão; Milho; Sensoriamento Remoto; Sistema de Informação Geográfica; Soja. |
Thesaurus NAL: |
Brazil. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02902naa a2200373 a 4500 001 2093725 005 2018-07-31 008 2018 bl --- 0-- u #d 024 7 $ahttps://doi.org/10.1016/j.jag.2018.03.00$2DOI 100 1 $aCHEN, Y. 245 $aMapping croplands, cropping patterns, and crop types using MODIS time-series data.$h[electronic resource] 260 $c2018 520 $aAbstract: The importance of mapping regional and global cropland distribution in timely ways has been recognized, but separation of crop types and multiple cropping patterns is challenging due to their spectral similarity. This study developed a new approach to identify crop types (including soy, cotton and maize) and cropping patterns (Soy-Maize, Soy-Cotton, Soy-Pasture, Soy-Fallow, Fallow-Cotton and Single crop) in the state of Mato Grosso, Brazil. The Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) time series data for 2015 and 2016 and field survey data were used in this research. The major steps of this proposed approach include: (1) reconstructing NDVI time series data by removing the cloud-contaminated pixels using the temporal interpolation algorithm, (2) identifying the best periods and developing temporal indices and phenological parameters to distinguish croplands from other land cover types, and (3) developing crop temporal indices to extract cropping patterns using NDVI time-series data and group cropping patterns into crop types. Decision tree classifier was used to map cropping patterns based on these temporal indices. Croplands from Landsat imagery in 2016, cropping pattern samples from field survey in 2016, and the planted area of crop types in 2015 were used for accuracy assessment. Overall accuracies of approximately 90%, 73% and 86%, respectively were obtained for croplands, cropping patterns, and crop types. The adjusted coefficients of determination of total crop, soy, maize, and cotton areas with corresponding statistical areas were 0.94, 0.94, 0.88 and 0.88, respectively. This research indicates that the proposed approach is promising for mapping large-scale croplands, their cropping patterns and crop types. 650 $aBrazil 650 $aAlgodão 650 $aMilho 650 $aSensoriamento Remoto 650 $aSistema de Informação Geográfica 650 $aSoja 653 $aCrop types 653 $aCroplands 653 $aCropping patterns 653 $aDecision tree classifier 653 $aMODIS NDVI 700 1 $aLU, D. 700 1 $aMORAN, E. 700 1 $aBATISTELLA, M. 700 1 $aDUTRA, L. V. 700 1 $aSANCHES, I. D. A. 700 1 $aSILVA, R. F. B. da 700 1 $aHUANG, J. 700 1 $aLUIZ, A. J. B. 700 1 $aOLIVEIRA, M. A. F. de 773 $tInternational Journal of Applied Earth Observation and Geoinformation$gv. 69, p. 133-147, 2018.
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