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| Registros recuperados : 35 | |
| 17. |  | SALESKA, S. R.; WU, J.; GUAN, K.; ARAUJO, A. C.; HUETE, A.; NOBRE, A. D.; RESTREPO-COUPE, N. Dry-season greening of Amazon forests. Nature, v. 531, n. 7594, p. E4-E5, Mar. 2016.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 18. | | STARK, S. C.; LEITOLD, V.; WU, J. L.; HUNTER, M. O.; CASTILHO, C. V. de; COSTA, F. R. C.; MCMAHON, S. M.; PARKER, G. G. Amazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment. Ecology Letters, v.15, p.1406-1414, 2012.| Biblioteca(s): Embrapa Roraima. |
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| 19. | | WU, J.; ALBERT, L. P.; PROHASKA, N.; ELY, K.; WOLFE, B. T.; OLIVEIRA JUNIOR, R. C. de; SALESKA, S. R.; ROGERS, A.; SERBIN, S. P. A convergent spectroscopy-based approach for Vcmax across leaf age and growth environments. In: ESA ANNUAL MEETING, 2017, Portland. [Abstracts]. Washington, DC: Ecological Society of America, 2017. Abstract OOS 2-2.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 20. | | WOYANN, L. G.; ZDZIARSKI, A. D.; ZANELLA, R.; ROSA, A. C.; CASTRO, R. L. de; CAIERÃO, E.; TOIGO, M. D.; STORCK, L.; WU, J.; BENIN, G. Genetic gain over 30 years of spring wheat breeding in Brazil. Crop Science, v. 59, Sep./Oct. 2019.| Biblioteca(s): Embrapa Trigo. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
13/10/2017 |
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Data da última atualização: |
22/12/2021 |
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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: |
MOURA, Y. M. de; GALVÃO, L. S.; HILKER, T.; WU, J.; SALESKA, S.; AMARAL, C. H. do; NELSON, B. W.; LOPES, A. P.; WIEDEMAN, K. K.; PROHASKA, N.; OLIVEIRA JUNIOR, R. C. de; MACHADO, C. B.; ARAGÃO, L. E. O. C. |
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Afiliação: |
Yhasmin Mendes de Moura, INPE; Lênio Soares Galvão, INPE; Thomas Hilker, University of Southampton; Jin Wu, University of Arizona / Brookhaven National Laboratory; Scott Saleska, University of Arizona; Cibele Hummel do Amaral, UFV; Bruce Walker Nelson, INPA; Aline Pontes Lopes, INPE; Kenia K. Wiedeman, University of Arizona / Harvard University; Neill Prohaska, University of Arizona; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; Carolyne Bueno Machado, INPE; Luiz E. O. C. Aragão, INPE / University of Exeter. |
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Título: |
Spectral analysis of amazon canopy phenology during the dry season using a tower hyperspectral camera and modis observations. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
ISPRS Journal of Photogrammetry and Remote Sensing, v. 131, p. 52-64, Sept. 2017. |
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DOI: |
https://doi.org/10.1016/j.isprsjprs.2017.07.006 |
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Idioma: |
Inglês |
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Conteúdo: |
The association between spectral reflectance and canopy processes remains challenging for quantifying large-scale canopy phenological cycles in tropical forests. In this study, we used a tower-mounted hyperspectral camera in an eastern Amazon forest to assess how canopy spectral signals of three species are linked with phenological processes in the 2012 dry season. We explored different approaches to disentangle the spectral components of canopy phenology processes and analyze their variations over time using 17 images acquired by the camera. The methods included linear spectral mixture analysis (SMA); principal component analysis (PCA); continuum removal (CR); and first-order derivative analysis. In addition, three vegetation indices potentially sensitive to leaf flushing, leaf loss and leaf area index (LAI) were calculated: the Enhanced Vegetation Index (EVI), Normalized Difference Vegetation Index (NDVI) and the entitled Green-Red Normalized Difference (GRND) index.Weinspected also the consistency of the camera observations using Moderate Resolution Imaging Spectroradiometer (MODIS) and available phenological data on new leaf production and LAI of young, mature and old leaves simulated by a leaf demography-ontogeny model. The results showed a diversity of phenological responses during the 2012 dry season with related changes in canopy structure and greenness values. Because of the differences in timing and intensity of leaf flushing and leaf shedding, Erisma uncinatum, Manilkara huberi and Chamaecrista xinguensis presented different green vegetation (GV) and non-photosynthetic vegetation (NPV) SMA fractions; distinct PCA scores; changes in depth, width and area of the 681-nm chlorophyll absorption band; and variations over time in the EVI, GRND and NDVI. At the end of dry season, GV increased for Erisma uncinatum, while NPV increased for Chamaecrista xinguensis. For Manilkara huberi, the NPV first increased in the beginning of August and then decreased toward September with new foliage. Variations in red-edge position were not statistically significant between the species and across dates at the 95% confidence level. The camera data were affected by view-illumination effects, which reduced theSMAshade fraction over time.WhenMODIS data were corrected for these effects using the Multi-Angle Implementation of Atmospheric Correction Algorithm (MAIAC), we observed an EVI increase toward September that closely tracked the modeled LAI of mature leaves (3?5 months). Compared to the EVI, the GRND was a better indicator of leaf flushing because the modeled production of new leaves peaked in August and then declined in September following the GRND closely. While the EVI was more related to changes in mature leaf area, the GRND was more associated with new leaf flushing. MenosThe association between spectral reflectance and canopy processes remains challenging for quantifying large-scale canopy phenological cycles in tropical forests. In this study, we used a tower-mounted hyperspectral camera in an eastern Amazon forest to assess how canopy spectral signals of three species are linked with phenological processes in the 2012 dry season. We explored different approaches to disentangle the spectral components of canopy phenology processes and analyze their variations over time using 17 images acquired by the camera. The methods included linear spectral mixture analysis (SMA); principal component analysis (PCA); continuum removal (CR); and first-order derivative analysis. In addition, three vegetation indices potentially sensitive to leaf flushing, leaf loss and leaf area index (LAI) were calculated: the Enhanced Vegetation Index (EVI), Normalized Difference Vegetation Index (NDVI) and the entitled Green-Red Normalized Difference (GRND) index.Weinspected also the consistency of the camera observations using Moderate Resolution Imaging Spectroradiometer (MODIS) and available phenological data on new leaf production and LAI of young, mature and old leaves simulated by a leaf demography-ontogeny model. The results showed a diversity of phenological responses during the 2012 dry season with related changes in canopy structure and greenness values. Because of the differences in timing and intensity of leaf flushing and leaf shedding, Erisma uncinatum, Ma... Mostrar Tudo |
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Palavras-Chave: |
Espécie florestal; Sazonalidade. |
|
Thesagro: |
Fenologia; Folha; Seca. |
|
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
|
Marc: |
LEADER 03841naa a2200337 a 4500
001 2077368
005 2021-12-22
008 2017 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.isprsjprs.2017.07.006$2DOI
100 1 $aMOURA, Y. M. de
245 $aSpectral analysis of amazon canopy phenology during the dry season using a tower hyperspectral camera and modis observations.$h[electronic resource]
260 $c2017
520 $aThe association between spectral reflectance and canopy processes remains challenging for quantifying large-scale canopy phenological cycles in tropical forests. In this study, we used a tower-mounted hyperspectral camera in an eastern Amazon forest to assess how canopy spectral signals of three species are linked with phenological processes in the 2012 dry season. We explored different approaches to disentangle the spectral components of canopy phenology processes and analyze their variations over time using 17 images acquired by the camera. The methods included linear spectral mixture analysis (SMA); principal component analysis (PCA); continuum removal (CR); and first-order derivative analysis. In addition, three vegetation indices potentially sensitive to leaf flushing, leaf loss and leaf area index (LAI) were calculated: the Enhanced Vegetation Index (EVI), Normalized Difference Vegetation Index (NDVI) and the entitled Green-Red Normalized Difference (GRND) index.Weinspected also the consistency of the camera observations using Moderate Resolution Imaging Spectroradiometer (MODIS) and available phenological data on new leaf production and LAI of young, mature and old leaves simulated by a leaf demography-ontogeny model. The results showed a diversity of phenological responses during the 2012 dry season with related changes in canopy structure and greenness values. Because of the differences in timing and intensity of leaf flushing and leaf shedding, Erisma uncinatum, Manilkara huberi and Chamaecrista xinguensis presented different green vegetation (GV) and non-photosynthetic vegetation (NPV) SMA fractions; distinct PCA scores; changes in depth, width and area of the 681-nm chlorophyll absorption band; and variations over time in the EVI, GRND and NDVI. At the end of dry season, GV increased for Erisma uncinatum, while NPV increased for Chamaecrista xinguensis. For Manilkara huberi, the NPV first increased in the beginning of August and then decreased toward September with new foliage. Variations in red-edge position were not statistically significant between the species and across dates at the 95% confidence level. The camera data were affected by view-illumination effects, which reduced theSMAshade fraction over time.WhenMODIS data were corrected for these effects using the Multi-Angle Implementation of Atmospheric Correction Algorithm (MAIAC), we observed an EVI increase toward September that closely tracked the modeled LAI of mature leaves (3?5 months). Compared to the EVI, the GRND was a better indicator of leaf flushing because the modeled production of new leaves peaked in August and then declined in September following the GRND closely. While the EVI was more related to changes in mature leaf area, the GRND was more associated with new leaf flushing.
650 $aFenologia
650 $aFolha
650 $aSeca
653 $aEspécie florestal
653 $aSazonalidade
700 1 $aGALVÃO, L. S.
700 1 $aHILKER, T.
700 1 $aWU, J.
700 1 $aSALESKA, S.
700 1 $aAMARAL, C. H. do
700 1 $aNELSON, B. W.
700 1 $aLOPES, A. P.
700 1 $aWIEDEMAN, K. K.
700 1 $aPROHASKA, N.
700 1 $aOLIVEIRA JUNIOR, R. C. de
700 1 $aMACHADO, C. B.
700 1 $aARAGÃO, L. E. O. C.
773 $tISPRS Journal of Photogrammetry and Remote Sensing$gv. 131, p. 52-64, Sept. 2017.
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