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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/42M6LCC
Repositorysid.inpe.br/plutao/2020/06.16.00.01.31
Last Update2020:06.19.12.00.00 (UTC) lattes
Metadata Repositorysid.inpe.br/plutao/2020/06.16.00.01.32
Metadata Last Update2022:01.04.01.31.15 (UTC) administrator
DOI10.3390/rs12010040
ISSN2072-4292
Labellattes: 1596449770636962 2 CairoBLNCMFSC:2020:HyChAl
Citation KeyCairoBLNCMFSC:2020:HyChAl
TitleHybrid chlorophyll-a algorithm for assessing trophic states of a tropical brazilian reservoir based on MSI/Sentinel-2 data
Year2020
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size8969 KiB
2. Context
Author1 Cairo, Carolline Tressmann
2 Barbosa, Cláudio Clemente Faria
3 Lobo, Felipe de Lucia
4 Novo, Evlyn Márcia Leão de Moraes
5 Carlos, Felipe Menino
6 Maciel, Daniel Andrade
7 Flores Junior, Rogério
8 Silva, Edson Filisbino Freire da
9 Curtarelli, Victor Pedroso
Resume Identifier1
2 8JMKD3MGP5W/3C9JGSB
3
4 8JMKD3MGP5W/3C9JH39
ORCID1
2 0000-0002-3221-9774
3 0000-0001-8061-0076
4 0000-0002-1223-9276
5
6 0000-0003-4543-5908
Group1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
3 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
4 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
5 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
6 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
7 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
8 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
9 DIDPI-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)
7 Instituto Nacional de Pesquisas Espaciais (INPE)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
9 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 carolline.cairo@inpe.br
2 claudio.barbosa@inpe.br
3 felipellobo@gmail.com
4 evlyn.novo@inpe.br
5 felipe.carlos@fatec.sp.gov.br
6 damaciel.maciel@hotmail.com
7 rogerio.floresjr@gmail.com
8 edson.freirefs@gmail.com
9 victor.curtarelli@gmail.com
JournalRemote Sensing
Volume12
Number1
Pagese12010040
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2020-06-16 02:01:39 :: lattes -> administrator :: 2020
2020-06-19 11:55:12 :: administrator -> lattes :: 2020
2020-06-19 12:00:02 :: lattes -> administrator :: 2020
2022-01-04 01:31:15 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsHybrid Chlorophyll-a Algorithm
monitoramento da qualidade da água
clorofila-a
AbstractUsing remote sensing for monitoring trophic states of inland waters relies on the calibration of chlorophyll-a (chl-a) bio-optical algorithms. One of the main limiting factors of calibrating those algorithms is that they cannot accurately cope with the wide chl-a concentration ranges in optically complex waters subject to different trophic states. Thus, this study proposes an optical hybrid chl-a algorithm (OHA), which is a combined framework of algorithms for specific chl-a concentration ranges. The study area is Ibitinga Reservoir characterized by high spatiotemporal variability of chl-a concentrations (31000 mg/m3 ). We took the following steps to address this issue: (1) we defined optical classes of specific chl-a concentration ranges using Spectral Angle Mapper (SAM); (2) we calibrated/validated chl-a bio-optical algorithms for each trophic class using simulated Sentinel-2 MSI (Multispectral Instrument) bands; (3) and we applied a decision tree classifier in MSI/Sentinel-2 image to detect the optical classes and to switch to the suitable algorithm for the given class. The results showed that three optical classes represent different ranges of chl-a concentration: class 1 varies 2.8922.83 mg/m3 , class 2 varies 19.5187.63 mg/m3 , and class 3 varies 75.89938.97 mg/m3 . The best algorithms for trophic classes 1, 2, and 3 are the 3-band (R2 = 0.78; MAPE - Mean Absolute Percentage Error = 34.36%), slope (R2 = 0.93; MAPE = 23.35%), and 2-band (R2 = 0.98; MAPE = 20.12%), respectively. The decision tree classifier showed an accuracy of 95% for detecting SAMs optical trophic classes. The overall performance of OHA was satisfactory (R2 = 0.98; MAPE = 26.33%) using in situ data but reduced in the Sentinel-2 image (R2 = 0.42; MAPE = 28.32%) due to the temporal gap between matchups and the variability in reservoir hydrodynamics. In summary, OHA proved to be a viable method for estimating chl-a concentration in Ibitinga Reservoir and the extension of this framework allowed a more precise chl-a estimate in eutrophic inland waters.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Hybrid chlorophyll-a algorithm...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Hybrid chlorophyll-a algorithm...
Arrangement 3urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Hybrid chlorophyll-a algorithm...
Arrangement 4urlib.net > BDMCI > Fonds > LabISA > Hybrid chlorophyll-a algorithm...
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data URLhttp://urlib.net/ibi/8JMKD3MGP3W/42M6LCC
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W/42M6LCC
Languageen
Target Filecairo_remote.pdf
Reader Groupadministrator
lattes
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/439EAFB
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 4
sid.inpe.br/bibdigital/2013/09.09.15.05 2
sid.inpe.br/mtc-m21/2012/07.13.14.43.57 2
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
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