Fechar

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3MPQED8
Repositóriosid.inpe.br/mtc-m21b/2016/11.11.18.01   (acesso restrito)
Última Atualização2016:11.11.18.01.47 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21b/2016/11.11.18.01.47
Última Atualização dos Metadados2018:06.04.02.41.16 (UTC) administrator
DOI10.1016/j.jag.2016.05.005
ISSN0303-2434
Chave de CitaçãoMaedaMWHLWCMAS:2016:CoVeIn
TítuloConsistency of vegetation index seasonality across the Amazon rainforest
Ano2016
MêsOct.
Data de Acesso10 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho5242 KiB
2. Contextualização
Autor 1 Maeda, Eduardo Eiji
 2 Moura, Yhasmin Mendes de
 3 Wagner, Fabien Hubert
 4 Hilker, Thomas
 5 Lyapustin, Alexei I.
 6 Wang, Yujie
 7 Chave, Jerome
 8 Mottus, Matti
 9 Aragão, Luiz Eduardo Oliveira e Cruz de
10 Shimabukuro, Yosio Edemir
Identificador de Curriculo 1
 2
 3
 4
 5
 6
 7
 8
 9
10 8JMKD3MGP5W/3C9JJCQ
Grupo 1
 2 SER-SRE-SPG-INPE-MCTI-GOV-BR
 3 DSR-OBT-INPE-MCTI-GOV-BR
 4
 5
 6
 7
 8
 9 DSR-OBT-INPE-MCTI-GOV-BR
10 DSR-OBT-INPE-MCTI-GOV-BR
Afiliação 1 University of Helsinki
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 Instituto Nacional de Pesquisas Espaciais (INPE)
 4 Oregon State University
 5 NASA Goddard Space Flight Center
 6 University of Maryland
 7 Université Paul Sabatier
 8 University of Helsinki
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor 1 eduardo.maeda@helsinki.fi
 2 yhas.mendes@gmail.com
 3 fabien.wagner@inpe.br
 4
 5
 6
 7
 8
 9 luiz.aragao@inpe.br
10 yosio.shimabukuro@inpe.br
RevistaInternational Journal of Applied Earth Observation and Geoinformation
Volume52
Páginas42-53
Nota SecundáriaB1_GEOCIÊNCIAS
Histórico (UTC)2016-11-11 18:01:47 :: simone -> administrator ::
2016-11-11 18:01:48 :: administrator -> simone :: 2016
2016-11-11 18:03:18 :: simone -> administrator :: 2016
2016-11-12 18:53:47 :: administrator -> simone :: 2016
2016-12-22 16:55:19 :: simone -> administrator :: 2016
2018-06-04 02:41:16 :: administrator -> simone :: 2016
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveMODIS
MAIAC
Seasonality
Phenology
EVI
NDVI
GEP
BRDF effect
ResumoVegetation indices (VIs) calculated from remotely sensed reflectance are widely used tools for characterizing the extent and status of vegetated areas. Recently, however, their capability to monitor the Amazon forest phenology has been intensely scrutinized. In this study, we analyze the consistency of VIs seasonal patterns obtained from two MODIS products: the Collection 5 BRDF product (MCD43) and the Multi-Angle Implementation of Atmospheric Correction algorithm (MAIAC). The spatio-temporal patterns of the VIs were also compared with field measured leaf litterfall, gross ecosystem productivity and active microwave data. Our results show that significant seasonal patterns are observed in all VIs after the removal of view-illumination effects and cloud contamination. However, we demonstrate inconsistencies in the characteristics of seasonal patterns between different VIs and MODIS products. We demonstrate that differences in the original reflectance band values form a major source of discrepancy between MODIS VI products. The MAIAC atmospheric correction algorithm significantly reduces noise signals in the red and blue bands. Another important source of discrepancy is caused by differences in the availability of clear-sky data, as the MAIAC product allows increased availability of valid pixels in the equatorial Amazon. Finally, differences in Vis seasonal patterns were also caused by MODIS collection 5 calibration degradation. The correlation of remote sensing and field data also varied spatially, leading to different temporal offsets between Vls, active microwave and field measured data. We conclude that recent improvements in the MAIAC product have led to changes in the characteristics of spatio-temporal patterns of VIs seasonality across the Amazon forest, when compared to the MCD43 product. Nevertheless, despite improved quality and reduced uncertainties in the MAIAC product, a robust biophysical interpretation of VIs seasonality is still missing.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Consistency of vegetation...
Arranjo 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Consistency of vegetation...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 11/11/2016 16:01 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvomaeda_consistency.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.18.22.34 2
sid.inpe.br/bibdigital/2013/09.13.21.11 1
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)simone
atualizar 


Fechar