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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/3A63C75
Repositóriosid.inpe.br/mtc-m19/2011/07.25.13.17   (acesso restrito)
Última Atualização2011:07.25.13.25.45 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m19/2011/07.25.13.17.16
Última Atualização dos Metadados2018:06.05.04.24.36 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.1016/j.rse.2010.10.004
ISSN0034-4257
Chave de CitaçãoMaireMVPLBSN:2011:LeArIn
TítuloLeaf area index estimation with MODIS reflectance time series and model inversion during full rotations of Eucalyptus plantations
ProjetoEuropean Integrated Project Ultra Low CO2 Steelmaking (ULCOS) 515960
Ano2011
MêsFeb.
Data de Acesso29 abr. 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho738 KiB
2. Contextualização
Autor1 le Maire, Guerric
2 Marsden, Claire
3 Verhoef, Wouter
4 Ponzoni, Flavio Jorge
5 Lo Seen, Danny
6 Begue, Agnes
7 Stape, Jose-Luiz
8 Nouvellon, Yann
Identificador de Curriculo1
2
3
4 8JMKD3MGP5W/3C9JH4G
Grupo1
2
3
4 DSR-OBT-INPE-MCT-BR
Afiliação1 CIRAD, UPR 80, Sc UMR Eco&Sols, Persyst, F-34060 Montpellier 01, France
2 CIRAD, UMR TETIS, F-34093 Montpellier 5, France
3 Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 CIRAD, UMR TETIS, F-34093 Montpellier 5, France
6 CIRAD, UMR TETIS, F-34093 Montpellier 5, France
7 N Carolina State Univ, Dept Forestry & Environm Sci, Raleigh, NC 27695 USA
8 Univ Sao Paulo, IAG, Dept Ciencias Atmosfer, BR-05508 Sao Paulo, Brazil
RevistaRemote Sensing of Environment
Volume115
Número2
Páginas586-599
Histórico (UTC)2011-07-25 13:23:56 :: marciana -> administrator :: 2011
2011-07-25 13:23:57 :: administrator -> marciana :: 2011
2011-11-04 11:12:42 :: marciana -> administrator :: 2011
2018-06-05 04:24:36 :: administrator -> marciana :: 2011
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-ChaveLeaf area index
Remote sensing
MOD13Q1
Radiative transfer model
PROSAIL
GESAVI
Eucalypt
CBERS
OPTICAL-PROPERTIES
VEGETATION INDEX
BIDIRECTIONAL REFLECTANCE
USE EFFICIENCY
CANOPY
IMAGERY
FOREST
CHLOROPHYLL
RESOLUTION
GLOBULUS
ResumoThe leaf area index (LAI) of fast-growing Eucalyptus plantations is highly dynamic both seasonally and interannually, and is spatially variable depending on pedo-climatic conditions. LAI is very important in determining the carbon and water balance of a stand, but is difficult to measure during a complete stand rotation and at large scales. Remote-sensing methods allowing the retrieval of LAI time series with accuracy and precision are therefore necessary. Here, we tested two methods for LAI estimation from MODIS 250m resolution red and near-infrared (NIR) reflectance time series. The first method involved the inversion of a coupled model of leaf reflectance and transmittance (PROSPECT4), soil reflectance (SOILSPECT) and canopy radiative transfer (4SAIL2). Model parameters other than the LAI were either fixed to measured constant values, or allowed to vary seasonally and/or with stand age according to trends observed in field measurements. The LAI was assumed to vary throughout the rotation following a series of alternately increasing and decreasing sigmoid curves. The parameters of each sigmoid curve that allowed the best fit of simulated canopy reflectance to MODIS red and NIR reflectance data were obtained by minimization techniques. The second method was based on a linear relationship between the LAI and values of the GEneralized Soil Adjusted Vegetation Index (GESAVI), which was calibrated using destructive LAI measurements made at two seasons, on Eucalyptus stands of different ages and productivity levels. The ability of each approach to reproduce field-measured LAI values was assessed, and uncertainty on results and parameter sensitivities were examined. Both methods offered a good fit between measured and estimated LAI (R(2) = 0.80 and R(2) = 0.62 for model inversion and GESAVI-based methods, respectively), but the GESAVI-based method overestimated the LAI at young ages.
ÁreaSRE
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Conteúdo da Pasta docacessar
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvogalvao.pdf
Grupo de Usuáriosadministrator
marciana
administrator
Visibilidadeshown
Política de Arquivamentodenypublisher allowfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhosid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress readergroup rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Controle da descrição
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