1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | mtc-m21b.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34P/3QHMT8L |
Repository | sid.inpe.br/mtc-m21b/2018/02.15.11.54 |
Metadata Repository | sid.inpe.br/mtc-m21b/2018/02.15.11.54.38 |
Metadata Last Update | 2020:12.31.02.07.56 (UTC) administrator |
Secondary Key | INPE--PRE/ |
Citation Key | JorgeBaAfCaLoNo:2018:StCaAm |
Title | Challenges in applying semi-analytical algorithms on optically complex waters: a study case for Amazon floodplain lakes |
Year | 2018 |
Access Date | 2024, May 18 |
Secondary Type | PRE CI |
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2. Context | |
Author | 1 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 Identifier | 1 2 8JMKD3MGP5W/3C9JGSB 3 4 5 6 8JMKD3MGP5W/3C9JH39 |
Group | 1 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 |
Affiliation | 1 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 Address | 1 danielsfj@dsr.inpe.br 2 claudio.barbosa@inpe.br 3 4 5 felipe.lobo@inpe.br 6 evlyn.novo@inpe.br |
Conference Name | Ocean Sciences Meeting |
Conference Location | Portland, Oregon, USA |
Date | 11-16 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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Abstract | Developing 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. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Challenges in applying... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Challenges in applying... |
Arrangement 3 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Challenges in applying... |
doc Directory Content | there are no files |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
User Group | self-uploading-INPE-MCTI-GOV-BR simone |
Reader Group | administrator simone |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Linking | Trabalho não Vinculado à Tese/Dissertação |
Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S |
Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 |
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6. Notes | |
Empty Fields | archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarytype type url versiontype volume |
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7. Description control | |
e-Mail (login) | simone |
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