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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/43H6Q7H
Repositorysid.inpe.br/mtc-m21c/2020/11.04.12.07   (restricted access)
Last Update2020:11.04.12.07.23 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2020/11.04.12.07.23
Metadata Last Update2022:01.04.01.35.33 (UTC) administrator
DOI10.1016/j.isprsjprs.2020.10.009
ISSN0924-2716
Citation KeyMacielBNCMFJCC:2020:MaDiAt
TitleMapping of diffuse attenuation coefficient in optically complex waters of amazon floodplain lakes
Year2020
MonthDec.
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size9692 KiB
2. Context
Author1 Maciel, Daniel Andrade
2 Barbosa, Cláudio Clemente Faria
3 Novo, Evlyn Márcia Leão de Moraes
4 Cherukuru, Nagur
5 Martins, Vitor Souza
6 Flores Júnior, Rogério
7 Jorge, Daniel Schaffer
8 Carvalho, Lino Augusto Sander de
9 Carlos, Felipe Menino
Resume Identifier1
2 8JMKD3MGP5W/3C9JGSB
3 8JMKD3MGP5W/3C9JH39
Group1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
4
5
6 YYY-CGOBT-INPE-MCTIC-GOV-BR
7
8
9 CAP-COMP-SESPG-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 CSIRO Oceans and Atmosphere
5 Michigan State University
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Univ. Littoral Cotê d’Opale
8 Universidade Federal do Rio de Janeiro (UFRJ)
9 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 damaciel_maciel@hotmail.com
2 claudio.barbosa@inpe.br
3 evly.novo@inpe.br
4
5
6 rogerio.flores@inpe.br
7
8
9 felipe.carlos@inpe.br
JournalISPRS Journal of Photogrammetry and Remote Sensing
Volume170
Pages72-87
Secondary MarkA1_GEOCIÊNCIAS A2_INTERDISCIPLINAR A2_CIÊNCIAS_AMBIENTAIS B1_ENGENHARIAS_IV B1_BIODIVERSIDADE C_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2020-11-04 12:07:23 :: simone -> administrator ::
2020-11-04 12:07:24 :: administrator -> simone :: 2020
2020-11-04 12:08:43 :: simone -> administrator :: 2020
2022-01-04 01:35:33 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsKd
Turbid waters
Diffuse attenuation coefficient
Sentinel-2
Complex waters
Atmospheric correction
AbstractThe modeling of underwater light field is essential for the understanding of biogeochemical processes, such as photosynthesis, carbon fluxes, and sediment transports in inland waters. Water-column light attenuation can be quantified by the diffuse attenuation coefficient of the downwelling irradiance (Kd) using semi-analytical algorithms (SAA). However, the accuracy of these algorithms is currently limited in highly turbid environments, such as Amazon Floodplains, due to the SAA parametrization steps. In this study, we assessed an SAA approach for Kd retrieval using a sizeable (n = 239) and diverse dataset (e.g., Kd (490) ranging from almost 0 to up to 30 m−1 with mean values of 5.75 ± 3.94 m−1) in Amazon freshwater ecosystem. The main framework of this study consists of i) re-parametrization of a quasi-analytical algorithm using regional in-situ inherent optical properties (IOPs) and ii) application and validation of SAA for Kd retrieval using in-situ and Sentinel-2/MSI (n = 49) derived from Remote Sensing Reflectance (Rrs). Overall, the performance of the calibrated SAA was satisfactory for both in-situ and satellite Rrs. The validation results with in-situ data achieved a Mean Absolute Percentage Error (MAPE) lower than 22%, Correlation Coefficient (R) > 0.80, Root Mean Square Error (RMSE) lower than 1.7 m−1 and bias between 0.73 and 1.34 for simulated visible bands of Sentinel-2/MSI (490, 560 and 660 nm) (VIS). The results using MSI imagery were similar to those of in-situ, with R > 0.9, MAPE < 20%, RMSE < 1.25 m−1, and bias between 0.98 and 1.10 for VIS bands, which illustrate the viability of this methodology for Kd mapping in Amazon Floodplain Lakes. Therefore, this study demonstrates a successful application of satellite remote sensing data for the spatialization of the Kd in the optically complex waters of Amazon Basin, which is essential for the ecological management of the Amazon Floodplain Lakes.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Mapping of diffuse...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > Mapping of diffuse...
Arrangement 3urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Mapping of diffuse...
Arrangement 4urlib.net > BDMCI > Fonds > LabISA > Mapping of diffuse...
Arrangement 5urlib.net > BDMCI > Fonds > Produção anterior à 2021 > YYY-PCI-CGOBT > Mapping of diffuse...
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4. Conditions of access and use
Languageen
Target Filemaciel_mapping.pdf
User Groupsimone
Reader Groupadministrator
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Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F2PHGS
8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/439EAFB
8JMKD3MGPCW/448AS3H
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.43.57 4
sid.inpe.br/bibdigital/2020/09.18.00.06 4
sid.inpe.br/bibdigital/2013/10.12.22.16 4
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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