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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3LQARQL
Repositorysid.inpe.br/mtc-m21b/2016/06.01.17.36   (restricted access)
Last Update2016:07.05.13.14.30 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21b/2016/06.01.17.36.15
Metadata Last Update2018:06.04.02.40.49 (UTC) administrator
DOI10.1080/2150704X.2015.1137646
ISSN2150-704X
Citation KeyAlcântaraCurtStec:2016:ReItHy
TitleEstimating total suspended matter using the particle backscattering coefficient: Results from the Itumbiara hydroelectric reservoir (Goiás State, Brazil)
Year2016
MonthJan.
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size3293 KiB
2. Context
Author1 Alcântara, Enner
2 Curtarelli, Marcelo Pedroso
3 Stech, José Luiz
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHHN
Group1
2 SER-SRE-SPG-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Universidade Estadual Paulista (UNESP)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 enner@fct.unesp.br
2 mpedroso@dsr.inpe.br
3 jose.stech@inpe.br
JournalRemote Sensing Letters
Volume7
Number4
Pages397-406
Secondary MarkA2_GEOGRAFIA B2_INTERDISCIPLINAR B3_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS
History (UTC)2016-06-01 17:36:15 :: simone -> administrator ::
2016-06-01 17:36:15 :: administrator -> simone :: 2016
2016-06-01 17:36:51 :: simone -> administrator :: 2016
2016-07-05 13:01:19 :: administrator -> simone :: 2016
2016-07-08 17:25:14 :: simone -> administrator :: 2016
2018-06-04 02:40:49 :: administrator -> simone :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractIn this study, a quasi-analytical algorithm (QAA)-based model was parameterized using remote-sensing reflectance (Rrs, units in sr1), total absorption coefficient (at) and total suspended matter (TSM) concentration. The model was based on the particle backscattering at 561 nm (bbp(561)) and was derived from the QAA and TSM concentration. The aim of this work was to parameterize a QAA-based model to estimate the TSM concentration using the Landsat-8 Operational Land Imager (OLI) sensor in the Itumbiara hydroelectric reservoir, Brazil. The results demonstrated that the calibrated model, TSM = 0:907 + 5:479 × bbp(561) +, had a coefficient of determination of R2= 0.70 and that the validation had an R2= 0.82, RMSE = 41.39% and a mean bias of 0.074 mg l-1. The primary observation using the TSM and bbp(561) maps is that waters with lower bbp(561) values have lower TSM concentrations; there is a direct correlation between bbp(561) and TSM concentration.
AreaSRE
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4. Conditions of access and use
Languageen
Target File1_alcantara_estimating.pdf
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Visibilityshown
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Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Linking8JMKD3MGP3W34P/3L6FL6E
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 6
sid.inpe.br/bibdigital/2013/09.13.21.11 2
DisseminationWEBSCI; MGA; COMPENDEX; SCOPUS.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
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