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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial; Embrapa Unidades Centrais. |
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Data corrente: |
22/11/2012 |
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Data da última atualização: |
28/10/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LU, D.; BATISTELLA, M.; LI, G.; MORAN, E.; HETRICK, S.; FREITAS, C. DA C.; SANT'ANNA, S. J. |
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Afiliação: |
DENGSHENG LU, INDIANA UNIVERSITY; MATEUS BATISTELLA, CNPM; GUIYING LI, INDIANA UNIVERSITY; EMILIO MORAN, INDIANA UNIVERSITY; SCOTT HETRICK, INDIANA UNIVERSITY; CORINA DA COSTA FREITAS, INPE; SIDNEI JOÃO SIQUEIRA SANT'ANNA, INPE. |
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Título: |
Land use/cover classification in the Brazilian Amazon using satellite images. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasilia, DF, v. 47, n. 9, p. 1185-1208, set. 2012. |
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Páginas: |
p. 1185-1208. |
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DOI: |
dx.doi.org/10.1590/S0100-204X2012000900004 |
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Idioma: |
Inglês |
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Conteúdo: |
Land use/cover classification is one of the most important applications in remote sensing. However, mapping accurate land use/cover spatial distribution is a challenge, particularly in moist tropical regions, due to the complex biophysical environment and limitations of remote sensing data per se. This paper reviews experiments related to land use/cover classification in the Brazilian Amazon for a decade. Through comprehensive analysis of the classification results, it is concluded that spatial information inherent in remote sensing data plays an essential role in improving land use/cover classification. Incorporation of suitable textural images into multispectral bands and use of segmentation?based method are valuable ways to improve land use/cover classification, especially for high spatial resolution images. Data fusion of multi?resolution images within optical sensor data is vital for visual interpretation, but may not improve classification performance. In contrast, integration of optical and radar data did improve classification performance when the proper data fusion method was used. Of the classification algorithms available, the maximum likelihood classifier is still an important method for providing reasonably good accuracy, but nonparametric algorithms, such as classification tree analysis, has the potential to provide better results. However, they often require more time to achieve parametric optimization. Proper use of hierarchical?based methods is fundamental for developing accurate land use/cover classification, mainly from historical remotely sensed data. MenosLand use/cover classification is one of the most important applications in remote sensing. However, mapping accurate land use/cover spatial distribution is a challenge, particularly in moist tropical regions, due to the complex biophysical environment and limitations of remote sensing data per se. This paper reviews experiments related to land use/cover classification in the Brazilian Amazon for a decade. Through comprehensive analysis of the classification results, it is concluded that spatial information inherent in remote sensing data plays an essential role in improving land use/cover classification. Incorporation of suitable textural images into multispectral bands and use of segmentation?based method are valuable ways to improve land use/cover classification, especially for high spatial resolution images. Data fusion of multi?resolution images within optical sensor data is vital for visual interpretation, but may not improve classification performance. In contrast, integration of optical and radar data did improve classification performance when the proper data fusion method was used. Of the classification algorithms available, the maximum likelihood classifier is still an important method for providing reasonably good accuracy, but nonparametric algorithms, such as classification tree analysis, has the potential to provide better results. However, they often require more time to achieve parametric optimization. Proper use of hierarchical?based methods is fundamental f... Mostrar Tudo |
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Palavras-Chave: |
Classificador não paramétrico; Dado de sensor múltiplo; Data fusion; Fusão de dados; Multiple sensor data; Nonparametric classifiers. |
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Thesagro: |
Textura. |
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Thesaurus Nal: |
Texture. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/70627/1/BatistellaPAB.pdf
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Marc: |
LEADER 02522naa a2200313 a 4500
001 1940299
005 2014-10-28
008 2012 bl uuuu u00u1 u #d
024 7 $adx.doi.org/10.1590/S0100-204X2012000900004$2DOI
100 1 $aLU, D.
245 $aLand use/cover classification in the Brazilian Amazon using satellite images.
260 $c2012
300 $ap. 1185-1208.
520 $aLand use/cover classification is one of the most important applications in remote sensing. However, mapping accurate land use/cover spatial distribution is a challenge, particularly in moist tropical regions, due to the complex biophysical environment and limitations of remote sensing data per se. This paper reviews experiments related to land use/cover classification in the Brazilian Amazon for a decade. Through comprehensive analysis of the classification results, it is concluded that spatial information inherent in remote sensing data plays an essential role in improving land use/cover classification. Incorporation of suitable textural images into multispectral bands and use of segmentation?based method are valuable ways to improve land use/cover classification, especially for high spatial resolution images. Data fusion of multi?resolution images within optical sensor data is vital for visual interpretation, but may not improve classification performance. In contrast, integration of optical and radar data did improve classification performance when the proper data fusion method was used. Of the classification algorithms available, the maximum likelihood classifier is still an important method for providing reasonably good accuracy, but nonparametric algorithms, such as classification tree analysis, has the potential to provide better results. However, they often require more time to achieve parametric optimization. Proper use of hierarchical?based methods is fundamental for developing accurate land use/cover classification, mainly from historical remotely sensed data.
650 $aTexture
650 $aTextura
653 $aClassificador não paramétrico
653 $aDado de sensor múltiplo
653 $aData fusion
653 $aFusão de dados
653 $aMultiple sensor data
653 $aNonparametric classifiers
700 1 $aBATISTELLA, M.
700 1 $aLI, G.
700 1 $aMORAN, E.
700 1 $aHETRICK, S.
700 1 $aFREITAS, C. DA C.
700 1 $aSANT'ANNA, S. J.
773 $tPesquisa Agropecuária Brasileira, Brasilia, DF$gv. 47, n. 9, p. 1185-1208, set. 2012.
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Registro original: |
Embrapa Territorial (CNPM) |
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Biblioteca |
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Origem |
Tipo/Formato |
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Registro |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
18/09/2020 |
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Data da última atualização: |
03/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
OLIVEIRA, C. M. de; ALMEIDA, N. O.; CÔRTES, M. V. de C. B.; LOBO JUNIOR, M.; ROCHA, M. R. da; ULHOA, C. J. |
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Afiliação: |
CAMILLA MARTINS DE OLIVEIRA, UFG; NAYANE OLIVEIRA ALMEIDA, UFG; MARCIO VINICIUS DE C BARROS CORTES, CNPAF; MURILLO LOBO JUNIOR, CNPAF; MARA RUBIA DA ROCHA, UFG; CIRANO JOSE ULHOA, UFG. |
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Título: |
Biological control of Pratylenchus brachyurus with isolates of Trichoderma spp. on soybean. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Biological Control, v. 152, 104425, Jan. 2021. |
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ISSN: |
1049-9644 |
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DOI: |
https://doi.org/10.1016/j.biocontrol.2020.104425 |
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Idioma: |
Inglês |
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Conteúdo: |
Pratylenchus brachyurus is an important species of nematode as it causes significant yield losses in soybean crops in Brazil. The efficacy of Trichoderma asperellum T00 and Trichoderma harzianum ALL 42 were evaluated as biocontrol agents against P. brachyurus. The experiments were conducted under greenhouse conditions using the BRSGO Caiapônia and BRS 8560RR cultivars of soybeans. The application of these two fungal species significantly reduced the population density (PD) and reproductive factor (RF) of P. brachyurus in the cultivar BRSGO Caiapônia. In contrast, the PD and RF values for P. brachyurus in the cultivar BRS 8560RR remained stable after treatment with both species. The treatment of P. brachyurus (J2) with non-volatile metabolites from T. asperellum T00 and T. harzianum ALL42 resulted in mortality rates of 41% and 65%, respectively. The exposure to T. asperellum T00 and T. harzianum ALL42 did not alter the height, the size of the roots (RL), or the fresh mass of the aerial part (FSM) of BRSGO Caiapônia. On the other hand, the treatment of BRS 8560RR resulted in an increase in plant height, with no differences in RL and FSM. The activity of defense-related enzymes was determined in leaves of the two cultivars. In general, it was observed that the enzymes β-1,3-glucanase, chitinase and peroxidase showed higher activities in cultivar BRS 8560RR, while phenylalanine ammonia-lyase activity was higher in BRSGO Caiapônia. This study demonstrated that these two isolates of Trichoderma have potential for use in biological control of P. brachyurus in soybeans. MenosPratylenchus brachyurus is an important species of nematode as it causes significant yield losses in soybean crops in Brazil. The efficacy of Trichoderma asperellum T00 and Trichoderma harzianum ALL 42 were evaluated as biocontrol agents against P. brachyurus. The experiments were conducted under greenhouse conditions using the BRSGO Caiapônia and BRS 8560RR cultivars of soybeans. The application of these two fungal species significantly reduced the population density (PD) and reproductive factor (RF) of P. brachyurus in the cultivar BRSGO Caiapônia. In contrast, the PD and RF values for P. brachyurus in the cultivar BRS 8560RR remained stable after treatment with both species. The treatment of P. brachyurus (J2) with non-volatile metabolites from T. asperellum T00 and T. harzianum ALL42 resulted in mortality rates of 41% and 65%, respectively. The exposure to T. asperellum T00 and T. harzianum ALL42 did not alter the height, the size of the roots (RL), or the fresh mass of the aerial part (FSM) of BRSGO Caiapônia. On the other hand, the treatment of BRS 8560RR resulted in an increase in plant height, with no differences in RL and FSM. The activity of defense-related enzymes was determined in leaves of the two cultivars. In general, it was observed that the enzymes β-1,3-glucanase, chitinase and peroxidase showed higher activities in cultivar BRS 8560RR, while phenylalanine ammonia-lyase activity was higher in BRSGO Caiapônia. This study demonstrated that these two isol... Mostrar Tudo |
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Thesagro: |
Controle Biológico; Glycine Max; Nematóide; Pratylenchus Brachyurus; Soja; Trichoderma. |
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Thesaurus NAL: |
Biological control; Host plants; Root lesion nematodes; Soybeans. |
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Categoria do assunto: |
H Saúde e Patologia |
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Marc: |
LEADER 02552naa a2200325 a 4500
001 2125015
005 2021-12-03
008 2021 bl uuuu u00u1 u #d
022 $a1049-9644
024 7 $ahttps://doi.org/10.1016/j.biocontrol.2020.104425$2DOI
100 1 $aOLIVEIRA, C. M. de
245 $aBiological control of Pratylenchus brachyurus with isolates of Trichoderma spp. on soybean.$h[electronic resource]
260 $c2021
520 $aPratylenchus brachyurus is an important species of nematode as it causes significant yield losses in soybean crops in Brazil. The efficacy of Trichoderma asperellum T00 and Trichoderma harzianum ALL 42 were evaluated as biocontrol agents against P. brachyurus. The experiments were conducted under greenhouse conditions using the BRSGO Caiapônia and BRS 8560RR cultivars of soybeans. The application of these two fungal species significantly reduced the population density (PD) and reproductive factor (RF) of P. brachyurus in the cultivar BRSGO Caiapônia. In contrast, the PD and RF values for P. brachyurus in the cultivar BRS 8560RR remained stable after treatment with both species. The treatment of P. brachyurus (J2) with non-volatile metabolites from T. asperellum T00 and T. harzianum ALL42 resulted in mortality rates of 41% and 65%, respectively. The exposure to T. asperellum T00 and T. harzianum ALL42 did not alter the height, the size of the roots (RL), or the fresh mass of the aerial part (FSM) of BRSGO Caiapônia. On the other hand, the treatment of BRS 8560RR resulted in an increase in plant height, with no differences in RL and FSM. The activity of defense-related enzymes was determined in leaves of the two cultivars. In general, it was observed that the enzymes β-1,3-glucanase, chitinase and peroxidase showed higher activities in cultivar BRS 8560RR, while phenylalanine ammonia-lyase activity was higher in BRSGO Caiapônia. This study demonstrated that these two isolates of Trichoderma have potential for use in biological control of P. brachyurus in soybeans.
650 $aBiological control
650 $aHost plants
650 $aRoot lesion nematodes
650 $aSoybeans
650 $aControle Biológico
650 $aGlycine Max
650 $aNematóide
650 $aPratylenchus Brachyurus
650 $aSoja
650 $aTrichoderma
700 1 $aALMEIDA, N. O.
700 1 $aCÔRTES, M. V. de C. B.
700 1 $aLOBO JUNIOR, M.
700 1 $aROCHA, M. R. da
700 1 $aULHOA, C. J.
773 $tBiological Control$gv. 152, 104425, Jan. 2021.
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Embrapa Arroz e Feijão (CNPAF) |
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