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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3P2FM42
Repositorysid.inpe.br/mtc-m21b/2017/05.31.17.42
Last Update2017:05.31.17.42.36 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21b/2017/05.31.17.42.36
Metadata Last Update2020:12.31.02.07.51 (UTC) administrator
DOI10.3390/rs9040322
ISSN2072-4292
Citation KeyMartinsBaCaJoLoNo:2017:AsAtCo
TitleAssessment of atmospheric correction methods for sentinel-2 MSI images applied to Amazon floodplain lakes
Year2017
MonthApr.
Access Date2024, Apr. 26
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size8950 KiB
2. Context
Author1 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
Resume Identifier1
2 8JMKD3MGP5W/3C9JGSB
3
4
5
6 8JMKD3MGP5W/3C9JH39
Group1 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
Affiliation1 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)
Author e-Mail Address1 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
JournalRemote Sensing
Volume9
Number4
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (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. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAdjacency correction
Amazon inland water
Atmospheric correction
MAIAC aerosol product
MODIS atmospheric product
TOA simulation
AbstractSatellite 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.
AreaSRE
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34P/3P2FM42
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34P/3P2FM42
Languageen
Target Filemartins-assessment.pdf
User Groupsimone
Reader Groupadministrator
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Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.43.57 5
sid.inpe.br/bibdigital/2013/09.09.15.05 2
sid.inpe.br/mtc-m21/2012/07.13.14.45.43 2
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
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