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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. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
15/03/2017 |
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Data da última atualização: |
20/05/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
HILKER, T.; GALVÃO, L. S.; ARAGÃO, L. E. O. C.; MOURA, Y. M. de; AMARAL, C. H. do; LYAPUSTIN, A. I.; WU, J.; ALBERT, L. P.; FERREIRA, M. J.; ANDERSON, L. O.; SANTOS, V. A. H. F. dos; PROHASKA, N.; TRIBUZY, E.; CERON, J. V. B.; SALESKA, S. R.; WANG, Y.; GONÇALVES, J. F. de C.; OLIVEIRA JUNIOR, R. C. de; RODRIGUES, J. V. F. C.; GARCIA, M. N. |
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Afiliação: |
Thomas Hilker, University of Southampton / Oregon State University; Lênio Soares Galvão, INPE; Luiz E. O. C. Aragão, INPE; Yhasmin M. de Moura, INPE; Cibele H. do Amaral, UFV; Alexei I. Lyapustin, NASA Goddard Space Flight Center; JIN WU, Environmental and Climate Sciences Department, Brookhaven National Lab / University of Arizona; Loren P. Albert, University of Arizona; Marciel José Ferreira, UFAM; Liana O. Anderson, Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN); Victor A. H. F. dos Santos, INPA; Neill Prohaska, University of Arizona; Edgard Tribuzy, INPA; João Vitor Barbosa Ceron, INPA; Scott R. Saleska, University of Arizona; Yujie Wang, University of Maryland Baltimore County; José Francisco de Carvalho Gonçalves, INPA; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; João Victor Figueiredo Cardoso Rodrigues, UFAM; Maquelle Neves Garcia, INPA. |
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Título: |
Vegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
International Journal of Applied Earth Observation and Geoinformation, v. 58, p. 278-287, June 2017. |
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DOI: |
http://dx.doi.org/10.1016/j.jag.2017.01.014 |
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Idioma: |
Inglês |
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Conteúdo: |
As a preparatory study for future hyperspectral missions that can measure canopy chemistry, we introduce a novel approach to investigate whether multi-angle Moderate Resolution Imaging Spectroradiometer (MODIS) data can be used to generate a preliminary database with long-term estimates of chlorophyll. MODIS monthly chlorophyll estimates between 2000 and 2015, derived from a fully coupled canopy reflectance model (ProSAIL), were inspected for consistency with eddy covariance fluxes, tower-based hyperspectral images and chlorophyll measurements. MODIS chlorophyll estimates from the inverse model showed strong seasonal variations across two flux-tower sites in central and eastern Amazon. Marked increases in chlorophyll concentrations were observed during the early dry season. Remotely sensed chlorophyll concentrations were correlated to field measurements (r2 = 0.73 and r2 = 0.98) but the data deviated from the 1:1 line with root mean square errors (RMSE) ranging from (Tapajós tower) to 0.470 (Manaus tower). The chlorophyll estimates were consistent with flux tower measurements of photosynthetically active radiation (PAR) and net ecosystem productivity (NEP). We also applied ProSAIL to mono-angle hyperspectral observations from a camera installed on a tower to scale modeled chlorophyll pigments to MODIS observations (r2 = 0.73). Chlorophyll pigment concentrations (ChlA+B) were correlated to changes in the amount of young and mature leaf area per month (0.59 ; r2 ; 0.64). Increases in MODIS observed ChlA+B were preceded by increased PAR during the dry season (0.61; 0.62) and followed by changes in net carbon uptake. We conclude that, at these two sites, changes in LAI, coupled with changes in leaf chlorophyll, are comparable with seasonality of plant productivity. Our results allowed the preliminary development of a 15-year time series of chlorophyll estimates over the Amazon to support canopy chemistry studies using future hyperspectral sensors. MenosAs a preparatory study for future hyperspectral missions that can measure canopy chemistry, we introduce a novel approach to investigate whether multi-angle Moderate Resolution Imaging Spectroradiometer (MODIS) data can be used to generate a preliminary database with long-term estimates of chlorophyll. MODIS monthly chlorophyll estimates between 2000 and 2015, derived from a fully coupled canopy reflectance model (ProSAIL), were inspected for consistency with eddy covariance fluxes, tower-based hyperspectral images and chlorophyll measurements. MODIS chlorophyll estimates from the inverse model showed strong seasonal variations across two flux-tower sites in central and eastern Amazon. Marked increases in chlorophyll concentrations were observed during the early dry season. Remotely sensed chlorophyll concentrations were correlated to field measurements (r2 = 0.73 and r2 = 0.98) but the data deviated from the 1:1 line with root mean square errors (RMSE) ranging from (Tapajós tower) to 0.470 (Manaus tower). The chlorophyll estimates were consistent with flux tower measurements of photosynthetically active radiation (PAR) and net ecosystem productivity (NEP). We also applied ProSAIL to mono-angle hyperspectral observations from a camera installed on a tower to scale modeled chlorophyll pigments to MODIS observations (r2 = 0.73). Chlorophyll pigment concentrations (ChlA+B) were correlated to changes in the amount of young and mature leaf area per month (0.59 ; r2 ; 0.64). Incre... Mostrar Tudo |
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Thesagro: |
Clorofila; Fenologia. |
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Thesaurus Nal: |
Amazonia. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 03195naa a2200397 a 4500
001 2067032
005 2022-05-20
008 2017 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1016/j.jag.2017.01.014$2DOI
100 1 $aHILKER, T.
245 $aVegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model.$h[electronic resource]
260 $c2017
520 $aAs a preparatory study for future hyperspectral missions that can measure canopy chemistry, we introduce a novel approach to investigate whether multi-angle Moderate Resolution Imaging Spectroradiometer (MODIS) data can be used to generate a preliminary database with long-term estimates of chlorophyll. MODIS monthly chlorophyll estimates between 2000 and 2015, derived from a fully coupled canopy reflectance model (ProSAIL), were inspected for consistency with eddy covariance fluxes, tower-based hyperspectral images and chlorophyll measurements. MODIS chlorophyll estimates from the inverse model showed strong seasonal variations across two flux-tower sites in central and eastern Amazon. Marked increases in chlorophyll concentrations were observed during the early dry season. Remotely sensed chlorophyll concentrations were correlated to field measurements (r2 = 0.73 and r2 = 0.98) but the data deviated from the 1:1 line with root mean square errors (RMSE) ranging from (Tapajós tower) to 0.470 (Manaus tower). The chlorophyll estimates were consistent with flux tower measurements of photosynthetically active radiation (PAR) and net ecosystem productivity (NEP). We also applied ProSAIL to mono-angle hyperspectral observations from a camera installed on a tower to scale modeled chlorophyll pigments to MODIS observations (r2 = 0.73). Chlorophyll pigment concentrations (ChlA+B) were correlated to changes in the amount of young and mature leaf area per month (0.59 ; r2 ; 0.64). Increases in MODIS observed ChlA+B were preceded by increased PAR during the dry season (0.61; 0.62) and followed by changes in net carbon uptake. We conclude that, at these two sites, changes in LAI, coupled with changes in leaf chlorophyll, are comparable with seasonality of plant productivity. Our results allowed the preliminary development of a 15-year time series of chlorophyll estimates over the Amazon to support canopy chemistry studies using future hyperspectral sensors.
650 $aAmazonia
650 $aClorofila
650 $aFenologia
700 1 $aGALVÃO, L. S.
700 1 $aARAGÃO, L. E. O. C.
700 1 $aMOURA, Y. M. de
700 1 $aAMARAL, C. H. do
700 1 $aLYAPUSTIN, A. I.
700 1 $aWU, J.
700 1 $aALBERT, L. P.
700 1 $aFERREIRA, M. J.
700 1 $aANDERSON, L. O.
700 1 $aSANTOS, V. A. H. F. dos
700 1 $aPROHASKA, N.
700 1 $aTRIBUZY, E.
700 1 $aCERON, J. V. B.
700 1 $aSALESKA, S. R.
700 1 $aWANG, Y.
700 1 $aGONÇALVES, J. F. de C.
700 1 $aOLIVEIRA JUNIOR, R. C. de
700 1 $aRODRIGUES, J. V. F. C.
700 1 $aGARCIA, M. N.
773 $tInternational Journal of Applied Earth Observation and Geoinformation$gv. 58, p. 278-287, June 2017.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
12/06/2015 |
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Data da última atualização: |
27/01/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
COSTA, C. R. da; LUZ, N. B. da; ARAKI, H.; OLIVEIRA, Y. M. M. de; ROSOT, M. A. D.; GARRASTAZU, M. C.; KRUEGER, C. P. |
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Afiliação: |
Clauber Rogério da Costa, UFPR; Naíssa Batista da Luz, ONU/FAO; Hideo Araki, UFPR; YEDA MARIA MALHEIROS DE OLIVEIRA, CNPF; MARIA AUGUSTA DOETZER ROSOT, CNPF; MARILICE CORDEIRO GARRASTAZU, CNPF; Claudia Pereira Krueger, UFPR. |
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Título: |
Análise da exatidão cartográfica das imagens Rapideye adotadas no Inventário Florestal Nacional do Brasil (IFN-BR). |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. |
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Páginas: |
p. 3289-3296. |
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Descrição Física: |
Disponível online. |
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Idioma: |
Português |
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Conteúdo: |
The National Brazil's Forest Inventory (IFN-BR), conducted by the Brazilian Forest Service (SFB) with support from the FAO (Food and Agriculture Organization - UN) was established aiming to enable continuous monitoring of forest resources, providing information to support the definition of public policy and management and conservation of these resources. Embrapa Forestry in conjunction with the SFB and the FAO seeks to develop a methodology for landscape analysis in the context of IFN-BR. Both are being used for RapidEye images (level 3A) and tested different remote sensing techniques. In this context, this work aims at analyzing the geometric accuracy between 6 scenes acquired in 2011 and 2012. For both a field survey using GPS receivers monofrequency by the absolute method for precise point (PPP) was conducted and implemented a program in Matlab platform capable of calculating the parameters of displacement and the RMS (root mean square error) of each image relative to the ground. Are also calculated the means and variances of the displacements relative to the ground of the images of 2011 and 2012. |
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Palavras-Chave: |
Análise cartográfica; Brasil; Imagem de satélite; Inventário Florestal Nacional; National Forest Inventory; Rapideye. |
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Thesaurus NAL: |
accuracy; Brazil. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/125277/1/2015-Yeda-SBSR-AnaliseExatidao.pdf
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Marc: |
LEADER 02083nam a2200289 a 4500
001 2017532
005 2016-01-27
008 2015 bl uuuu u00u1 u #d
100 1 $aCOSTA, C. R. da
245 $aAnálise da exatidão cartográfica das imagens Rapideye adotadas no Inventário Florestal Nacional do Brasil (IFN-BR).$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE$c2015
300 $ap. 3289-3296.$cDisponível online.
520 $aThe National Brazil's Forest Inventory (IFN-BR), conducted by the Brazilian Forest Service (SFB) with support from the FAO (Food and Agriculture Organization - UN) was established aiming to enable continuous monitoring of forest resources, providing information to support the definition of public policy and management and conservation of these resources. Embrapa Forestry in conjunction with the SFB and the FAO seeks to develop a methodology for landscape analysis in the context of IFN-BR. Both are being used for RapidEye images (level 3A) and tested different remote sensing techniques. In this context, this work aims at analyzing the geometric accuracy between 6 scenes acquired in 2011 and 2012. For both a field survey using GPS receivers monofrequency by the absolute method for precise point (PPP) was conducted and implemented a program in Matlab platform capable of calculating the parameters of displacement and the RMS (root mean square error) of each image relative to the ground. Are also calculated the means and variances of the displacements relative to the ground of the images of 2011 and 2012.
650 $aaccuracy
650 $aBrazil
653 $aAnálise cartográfica
653 $aBrasil
653 $aImagem de satélite
653 $aInventário Florestal Nacional
653 $aNational Forest Inventory
653 $aRapideye
700 1 $aLUZ, N. B. da
700 1 $aARAKI, H.
700 1 $aOLIVEIRA, Y. M. M. de
700 1 $aROSOT, M. A. D.
700 1 $aGARRASTAZU, M. C.
700 1 $aKRUEGER, C. P.
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Registro original: |
Embrapa Florestas (CNPF) |
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