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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3KLMTJ2
Repositóriosid.inpe.br/mtc-m21b/2015/11.26.13.48   (acesso restrito)
Última Atualização2016:01.05.18.35.43 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2015/11.26.13.48.26
Última Atualização dos Metadados2018:06.04.02.55.52 (UTC) administrator
DOI10.1016/j.rse.2015.10.015
ISSN0034-4257
Chave de CitaçãoMouraHLGSASA:2015:SeDrEf
TítuloSeasonality and drought effects of Amazonian forests observed from multi-angle satellite data
Ano2015
MêsDec.
Data de Acesso26 abr. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho3356 KiB
2. Contextualização
Autor1 Moura, Yhasmin Mendes de
2 Hilker, Thomas
3 Lyapustin, Alexei I.
4 Galvão, Lênio Soares
5 Santos, João Roberto dos
6 Anderson, Liana O.
7 Sousa, Célio Helder Resende de
8 Arai, Egidio
Identificador de Curriculo1
2
3
4 8JMKD3MGP5W/3C9JHLF
5 8JMKD3MGP5W/3C9JHF4
6
7
8 8JMKD3MGP5W/3C9JGUP
Grupo1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2
3
4 DSR-OBT-INPE-MCTI-GOV-BR
5 DSR-OBT-INPE-MCTI-GOV-BR
6
7
8 DSR-OBT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Oregon State University
3 NASA Goddard Space Flight Center
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 University of Oxford
7 Oregon State University
8 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 yhas.mendes@gmail.com
2
3
4 lenio.galvao@inpe.br
5 jroberto@ltid.inpe.br
6
7
8 egidio.arai@inpe.br
RevistaRemote Sensing of Environment
Volume171
Páginas278-290
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE
Histórico (UTC)2015-11-26 13:48:26 :: simone -> administrator ::
2018-06-04 02:55:52 :: administrator -> simone :: 2015
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-ChaveAmazon
Drought
Anisotropy
Greening
Browning
MAIAC
MODIS
ResumoSeasonality and drought in Amazon rainforests have been controversially discussed in the literature, partially due to a limited ability of current remote sensing techniques to detect its impacts on tropical vegetation. We use a multi-angle remote sensing approach to determine changes in vegetation structure from differences in directional scattering (anisotropy) observed by the Moderate Resolution Imaging Spectroradiometer (MODIS) with data atmospherically corrected by the Multi-Angle Implementation Atmospheric Correction Algorithm (MAIAC). Our results show a strong linear relationship between anisotropy and field (r2 = 0.70) and LiDAR (r2 = 0.88) based estimates of LAI even in dense canopies (LAI ≤ 7 m2 m− 2). This allowed us to obtain improved estimates of vegetation structure from optical remote sensing. We used anisotropy to analyze Amazon seasonality based on spatially explicit estimates of onset and length of dry season obtained from the Tropical Rainfall Measurement Mission (TRMM). An increase in vegetation greening was observed during the beginning of dry season (across ~ 7% of the basin), which was followed by a decline (browning) later during the dry season (across ~ 5% of the basin). Anomalies in vegetation browning were particularly strong during the 2005 and 2010 drought years (~ 10% of the basin). We show that the magnitude of seasonal changes can be significantly affected by regional differences in onset and duration of the dry season. Seasonal changes were much less pronounced when assuming a fixed dry season from June through September across the Amazon Basin. Our findings reconcile remote sensing studies with field based observations and model results as they provide a sounder basis for the argument that tropical vegetation growth increases during the beginning of the dry season, but declines after extended drought periods. The multi-angle approach used in this work may help quantify drought tolerance and seasonality in the Amazonian forests.
ÁreaSRE
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4. Condições de acesso e uso
Idiomaen
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher allowfinaldraft24
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/mtc-m21/2012/07.13.14.45.03 4
sid.inpe.br/mtc-m21/2012/07.13.14.51.02 3
sid.inpe.br/bibdigital/2013/10.18.22.34 1
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; 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 targetfile tertiarymark tertiarytype url
7. Controle da descrição
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