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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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Cutter |
Registro |
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URL |
Voltar
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Acre. Para informações adicionais entre em contato com cpafac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
05/10/2011 |
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Data da última atualização: |
06/07/2021 |
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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: |
OLIVEIRA, M. V. N. d'.; RIBAS, L. A. |
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Afiliação: |
MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC; LUCIANO ARRUDA RIBAS, CPAF-AC. |
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Título: |
Forest regeneration in artificial gaps twelve years after canopy opening in Acre State Western Amazon. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Forest Ecology and Management, Amsterdam, v. 261, n. 11, p. 1722-1731, 2011. |
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ISSN: |
0378-1127 |
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DOI: |
10.1016/j.foreco.2011.01.020 |
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Idioma: |
Inglês |
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Conteúdo: |
The main objectives were to study the effect of gap size and canopy openness on the natural regeneration dynamics considering the parameters of sapling growth, recruitment, mortality, density, species composition and above-ground biomass accumulation. The study was carried out in 32 artificial gaps with sizes varying from 100 to 1200m2 and canopy openness from 10 to 45%, from the second to the twelfth year after gap creation. The gap size was measured using the vertical projection of the tree crowns on the ground (Brokaw?s definition), and the canopy openness measurement by hemispherical photography. In the first five years, mean sapling growth (0.54cmyear-1), mortality (3.9% year-1) and AGB (26.2Mgha-1 or 8.7Mgha-1 year-1) were significantly higher in the gaps than in the forest understorey (0.17cmyear-1, 1.5% year-1 and -0.59Mgha-1 year-1 respectively) and positively correlated with gap size and canopy openness. In the same period, recruitment was also significantly higher in the gaps (5.8% year-1) than in the forest understorey (0.4% year-1) but decreased with gap size and negatively correlated with canopy openness. In the first five years, the relative density of pioneer species was higher in the gaps but not significantly correlated with gap size or canopy openness. AGB increased linearly since canopy opening, and twelve years after gap creation it was still higher in larger (121.2Mgha-1 or 10.1Mgha-1 year-1) rather than smaller (62.5 ha-1 or 5.2 ha-1 year-1) gaps. Twelve years after gap creation there were no significant differences in the parameters of sapling growth, recruitment, and mortality which could be attributed to the original gap size and canopy openness. MenosThe main objectives were to study the effect of gap size and canopy openness on the natural regeneration dynamics considering the parameters of sapling growth, recruitment, mortality, density, species composition and above-ground biomass accumulation. The study was carried out in 32 artificial gaps with sizes varying from 100 to 1200m2 and canopy openness from 10 to 45%, from the second to the twelfth year after gap creation. The gap size was measured using the vertical projection of the tree crowns on the ground (Brokaw?s definition), and the canopy openness measurement by hemispherical photography. In the first five years, mean sapling growth (0.54cmyear-1), mortality (3.9% year-1) and AGB (26.2Mgha-1 or 8.7Mgha-1 year-1) were significantly higher in the gaps than in the forest understorey (0.17cmyear-1, 1.5% year-1 and -0.59Mgha-1 year-1 respectively) and positively correlated with gap size and canopy openness. In the same period, recruitment was also significantly higher in the gaps (5.8% year-1) than in the forest understorey (0.4% year-1) but decreased with gap size and negatively correlated with canopy openness. In the first five years, the relative density of pioneer species was higher in the gaps but not significantly correlated with gap size or canopy openness. AGB increased linearly since canopy opening, and twelve years after gap creation it was still higher in larger (121.2Mgha-1 or 10.1Mgha-1 year-1) rather than smaller (62.5 ha-1 or 5.2 ha-1 year-1) gaps. Twel... Mostrar Tudo |
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Palavras-Chave: |
Abertura do dossel; Acre; Amazonia Occidental; Amazônia Ocidental; Bosques tropicales; Clareira artificial; Espacios vacíos en el dosel; Manejo florestal; Manejo forestal; Regeneración natural; Western Amazon. |
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Thesagro: |
Floresta tropical; Regeneração natural; Silvicultura. |
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Thesaurus NAL: |
Canopy gaps; Forest management; Natural regeneration; Silviculture; Tropical forests. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 02879naa a2200385 a 4500
001 1902522
005 2021-07-06
008 2011 bl uuuu u00u1 u #d
022 $a0378-1127
024 7 $a10.1016/j.foreco.2011.01.020$2DOI
100 1 $aOLIVEIRA, M. V. N. d'.
245 $aForest regeneration in artificial gaps twelve years after canopy opening in Acre State Western Amazon.$h[electronic resource]
260 $c2011
520 $aThe main objectives were to study the effect of gap size and canopy openness on the natural regeneration dynamics considering the parameters of sapling growth, recruitment, mortality, density, species composition and above-ground biomass accumulation. The study was carried out in 32 artificial gaps with sizes varying from 100 to 1200m2 and canopy openness from 10 to 45%, from the second to the twelfth year after gap creation. The gap size was measured using the vertical projection of the tree crowns on the ground (Brokaw?s definition), and the canopy openness measurement by hemispherical photography. In the first five years, mean sapling growth (0.54cmyear-1), mortality (3.9% year-1) and AGB (26.2Mgha-1 or 8.7Mgha-1 year-1) were significantly higher in the gaps than in the forest understorey (0.17cmyear-1, 1.5% year-1 and -0.59Mgha-1 year-1 respectively) and positively correlated with gap size and canopy openness. In the same period, recruitment was also significantly higher in the gaps (5.8% year-1) than in the forest understorey (0.4% year-1) but decreased with gap size and negatively correlated with canopy openness. In the first five years, the relative density of pioneer species was higher in the gaps but not significantly correlated with gap size or canopy openness. AGB increased linearly since canopy opening, and twelve years after gap creation it was still higher in larger (121.2Mgha-1 or 10.1Mgha-1 year-1) rather than smaller (62.5 ha-1 or 5.2 ha-1 year-1) gaps. Twelve years after gap creation there were no significant differences in the parameters of sapling growth, recruitment, and mortality which could be attributed to the original gap size and canopy openness.
650 $aCanopy gaps
650 $aForest management
650 $aNatural regeneration
650 $aSilviculture
650 $aTropical forests
650 $aFloresta tropical
650 $aRegeneração natural
650 $aSilvicultura
653 $aAbertura do dossel
653 $aAcre
653 $aAmazonia Occidental
653 $aAmazônia Ocidental
653 $aBosques tropicales
653 $aClareira artificial
653 $aEspacios vacíos en el dosel
653 $aManejo florestal
653 $aManejo forestal
653 $aRegeneración natural
653 $aWestern Amazon
700 1 $aRIBAS, L. A.
773 $tForest Ecology and Management, Amsterdam$gv. 261, n. 11, p. 1722-1731, 2011.
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