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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3QHMT8L
Repositorysid.inpe.br/mtc-m21b/2018/02.15.11.54
Metadata Repositorysid.inpe.br/mtc-m21b/2018/02.15.11.54.38
Metadata Last Update2020:12.31.02.07.56 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyJorgeBaAfCaLoNo:2018:StCaAm
TitleChallenges in applying semi-analytical algorithms on optically complex waters: a study case for Amazon floodplain lakes
Year2018
Access Date2024, May 18
Secondary TypePRE CI
2. Context
Author1 Jorge, Daniel Schaffer Ferreira
2 Barbosa, Cláudio Clemente Faria
3 Affonso, Adriana
4 Carvalho, Lino Augusto Sander de
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 DIDSR-CGOBT-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 danielsfj@dsr.inpe.br
2 claudio.barbosa@inpe.br
3
4
5 felipe.lobo@inpe.br
6 evlyn.novo@inpe.br
Conference NameOcean Sciences Meeting
Conference LocationPortland, Oregon, USA
Date11-16 Feb.
History (UTC)2018-02-15 11:54:57 :: simone -> administrator :: 2018
2018-07-04 17:52:33 :: administrator -> simone :: 2018
2019-01-07 10:39:02 :: simone -> administrator :: 2018
2020-12-31 02:07:56 :: administrator -> simone :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
AbstractDeveloping precise algorithms to retrieve optical information from inland waters is critical to increase the applicability of remote sensing data for monitoring purposes. Although semi-analytical (SA) algorithms were developed for ocean waters, they have been adapted and applied for inland and coastal waters with relatively success, but for extremely complex waters validation is yet to be achieved. The objective of this study is to assess the potential of SA algorithms applied to Amazon lakes, which are very dynamic, with high variability of CDOM, detritus and phytoplankton concentration. In order to achieve this, in situ optical data was obtained during five missions between 2015 and 2016, with a total of 102 sampling points. Two SA algorithms design for Amazonian lakes were tested: Spectral Optimization Algorithm (SOA); and Quasi-Analytical Algorithm (QAA). Each algorithm was calibrated, using both the original structure and changes proposed for optically complex waters. The algorithms were initially tested for the whole dataset with not satisfactory results. To improve the algorithm performance, the dataset was further divided in dark lakes (9.5 > TSS > 5.2; 6.4 > CDOM(420 nm) > 2.5 m-1) and bright lakes (25.9 > TSS > 6.8; 2.6 > CDOM(420 nm) > 2.1 m-1), based on the Rrs spectrum. Preliminary results, of this ongoing research, showed that total absorption spectra derived from SOA, when compared to in situ measurements, presented a high agreement in the blue region of the spectra (significant at p < 0.05), whereas for the red part of the spectrum a clear correlation couldnt be observed (p > 0.05). For the QAA algorithm, high uncertainty was observed in the estimation of backscattering (in situ from 0.01 to 1.5 m-1 ) during the calibration phase, resulting in error propagation throughout the modeling. Although the authors tested both exponential and logarithmic equations to quantify the backscattering, the results were poor for all the lakes. Therefore, the initial results showed that the SA algorithms designed for Case-1 and Case-2 need to be restructured and validated to be successfully applied to optically complex waters, such those from Amazon floodplain lakes.
AreaSRE
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Languageen
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Visibilityshown
Update Permissionnot transferred
5. Allied materials
LinkingTrabalho não Vinculado à Tese/Dissertação
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
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