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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
17/12/2013 |
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Data da última atualização: |
17/12/2013 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
GALVÍNCIO, J. D.; MOURA, M. S. B. de; SILVA, T. G. F da; SILVA, B. B. da; NAUE, C. R. |
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Afiliação: |
JOSICLÊDA DOMICIANO GALVÍNCIO; MAGNA SOELMA BESERRA DE MOURA, CPATSA; THIERES GEORGE FREIRE DA SILVA; BERNARDO BARBOSA DA SILVA; CARINE ROSA NAUE. |
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Título: |
Relationship between canopy and leaf spectral response in Savanna. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Revista Brasileira de Geografia Física, Recife, v. 6, n. 2, p. 341-355, 2013. |
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ISSN: |
1984-2295 |
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Idioma: |
Inglês |
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Conteúdo: |
Remote sensing and digital images are techniques that have the potential to assist in the analysis of terrestrial ecosystems in spatial scale. It is known that a forest monitoring is more accurate when you know the ecosystem features at different spatial scales. Relate measurements with remote sensing and obtained in the field (scales of detail) is challenging since several physical interference (biotic and abiotic) can provide errors in these relationships. One of the difficulties in obtaining estimates of parameters and vegetation biophysical variables with remote sensing are the spatial resolution is often low and this complicates the relationship between the regional data, location and detail. Thus, this study aims to evaluate the similarity and the correlation between canopy reflectance and leaf and propose a model that improves the estimates in leaf scale. We used cluster analysis, t-test, Pearson correlation and regression to analyze the similarity between samples, the degree of correlation and regression finally adopted for the model. The results were quite satisfactory and showed that there are significant differences between the reflectance in the leaf and canopy in Savannah for a significance level of 0.01. The model developed here can be using with high significance for high spatial resolution images such as IKONOS. |
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Palavras-Chave: |
Analise de cluster; Floresta seca; Imagens digitais; Interação folha dossel; Natural resource; Regressão. |
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Thesagro: |
Ecossistema; Recurso natural; Sensoriamento remoto. |
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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/94201/1/Magna-4.pdf
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Marc: |
LEADER 02195naa a2200289 a 4500
001 1974182
005 2013-12-17
008 2013 bl uuuu u00u1 u #d
022 $a1984-2295
100 1 $aGALVÍNCIO, J. D.
245 $aRelationship between canopy and leaf spectral response in Savanna.$h[electronic resource]
260 $c2013
520 $aRemote sensing and digital images are techniques that have the potential to assist in the analysis of terrestrial ecosystems in spatial scale. It is known that a forest monitoring is more accurate when you know the ecosystem features at different spatial scales. Relate measurements with remote sensing and obtained in the field (scales of detail) is challenging since several physical interference (biotic and abiotic) can provide errors in these relationships. One of the difficulties in obtaining estimates of parameters and vegetation biophysical variables with remote sensing are the spatial resolution is often low and this complicates the relationship between the regional data, location and detail. Thus, this study aims to evaluate the similarity and the correlation between canopy reflectance and leaf and propose a model that improves the estimates in leaf scale. We used cluster analysis, t-test, Pearson correlation and regression to analyze the similarity between samples, the degree of correlation and regression finally adopted for the model. The results were quite satisfactory and showed that there are significant differences between the reflectance in the leaf and canopy in Savannah for a significance level of 0.01. The model developed here can be using with high significance for high spatial resolution images such as IKONOS.
650 $aEcossistema
650 $aRecurso natural
650 $aSensoriamento remoto
653 $aAnalise de cluster
653 $aFloresta seca
653 $aImagens digitais
653 $aInteração folha dossel
653 $aNatural resource
653 $aRegressão
700 1 $aMOURA, M. S. B. de
700 1 $aSILVA, T. G. F da
700 1 $aSILVA, B. B. da
700 1 $aNAUE, C. R.
773 $tRevista Brasileira de Geografia Física, Recife$gv. 6, n. 2, p. 341-355, 2013.
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Registro original: |
Embrapa Semiárido (CPATSA) |
