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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Sitemtc-m21b.sid.inpe.br (namespace prefix: upn:3ET5SFU)
Identificador8JMKD3MGP3W34P/3P2FM42
Repositóriosid.inpe.br/mtc-m21b/2017/05.31.17.42
Última Atualização2017:05.31.17.42.36 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2017/05.31.17.42.36
Última Atualização dos Metadados2020:12.31.02.07.51 (UTC) administrator
DOI10.3390/rs9040322
ISSN2072-4292
Chave de CitaçãoMartinsBaCaJoLoNo:2017:AsAtCo
TítuloAssessment of atmospheric correction methods for sentinel-2 MSI images applied to Amazon floodplain lakes
Ano2017
MêsApr.
Data de Acesso27 out. 2026
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho8950 KiB
2. Contextualização
Autor1 Martins, Vitor Souza
2 Barbosa, Cláudio Clemente Faria
3 Carvalho, Lino Augusto Sander de
4 Jorge, Daniel Schaffer Ferreira
5 Lobo, Felipe de Lucia
6 Novo, Evlyn Márcia Leão de Moraes
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JGSB
3
4
5
6 8JMKD3MGP5W/3C9JH39
Grupo1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
3 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
4 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
5 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
6 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 vitor.martins@inpe.br
2 claudio.barbosa@inpe.br
3 lino@dsr.inpe.br
4 danielsfj@dsr.inpe.br
5 felipe.lobo@inpe.br
6 evlyn.novo@inpe.br
RevistaRemote Sensing
Volume9
Número4
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20 upn:3ET5SFU
Histórico (UTC)2017-05-31 17:42:36 :: simone -> administrator ::
2017-05-31 17:42:40 :: administrator -> simone :: 2017
2017-05-31 17:43:30 :: simone -> administrator :: 2017
2017-06-30 23:50:08 :: administrator -> simone :: 2017
2017-12-14 16:44:33 :: simone -> administrator :: 2017
2020-12-31 02:07:51 :: administrator -> simone :: 2017
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-ChaveAdjacency correction
Amazon inland water
Atmospheric correction
MAIAC aerosol product
MODIS atmospheric product
TOA simulation
ResumoSatellite data provide the only viable means for extensive monitoring of remote and large freshwater systems, such as the Amazon floodplain lakes. However, an accurate atmospheric correction is required to retrieve water constituents based on surface water reflectance (RW). In this paper, we assessed three atmospheric correction methods (Second Simulation of a Satellite Signal in the Solar Spectrum (6SV), ACOLITE and Sen2Cor) applied to an image acquired by the MultiSpectral Instrument (MSI) on-board of the European Space Agency's Sentinel-2A platform using concurrent in-situ measurements over four Amazon floodplain lakes in Brazil. In addition, we evaluated the correction of forest adjacency effects based on the linear spectral unmixing model, and performed a temporal evaluation of atmospheric constituents from Multi-Angle Implementation of Atmospheric Correction (MAIAC) products. The validation of MAIAC aerosol optical depth (AOD) indicated satisfactory retrievals over the Amazon region, with a correlation coefficient (R) of ~0.7 and 0.85 for Terra and Aqua products, respectively. The seasonal distribution of the cloud cover and AOD revealed a contrast between the first and second half of the year in the study area. Furthermore, simulation of top-of-atmosphere (TOA) reflectance showed a critical contribution of atmospheric effects (>50%) to all spectral bands, especially the deep blue (92%-96%) and blue (84%-92%) bands. The atmospheric correction results of the visible bands illustrate the limitation of the methods over dark lakes (RW < 1%), and better match of the RW shape compared with in-situ measurements over turbid lakes, although the accuracy varied depending on the spectral bands and methods. Particularly above 705 nm, RW was highly affected by Amazon forest adjacency, and the proposed adjacency effect correction minimized the spectral distortions in RW (RMSE < 0.006). Finally, an extensive validation of the methods is required for distinct inland water types and atmospheric conditions.
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Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
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4. Condições de acesso e uso
URI dos dadosupn:3ET5SFU:8JMKD3MGP3W34P/3P2FM42
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34P/3P2FM42
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34P/3P2FM42
Idiomaen
Arquivo Alvomartins-assessment.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
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Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.09.15.05 - 101
sid.inpe.br/bibdigital/2013/10.18.22.34 - 100
sid.inpe.br/mtc-m21/2012/07.13.14.45.43 - 65
sid.inpe.br/mtc-m21/2012/07.13.14.43.57 - 23
sid.inpe.br/bibdigital/2013/09.13.21.11 - 19
sid.inpe.br/mtc-m21b/2013/09.26.14.25.22 - 5
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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