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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3FCLE3C
Repositorysid.inpe.br/plutao/2013/12.12.17.22.49
Last Update2014:01.16.18.10.51 (UTC) administrator
Metadata Repositorysid.inpe.br/plutao/2013/12.12.17.22.50
Metadata Last Update2020:10.01.15.57.49 (UTC) administrator
DOI10.3390/rs5104774
ISSN2072-4292
Labellattes: 2691497637313274 5 OgashawaraMisMisCurSte:2013:PeReRe
Citation KeyOgashawaraMisMisCurSte:2013:PeReRe
TitleA Performance Review of Reflectance Based Algorithms for Predicting Phycocyanin Concentrations in Inland Waters
ProjectRemote Sensing Graduate Program at the National Institute for Space Research (INPE) 2011/19523-8 Sao Paulo Research Foundation (FAPESP)
Year2013
MonthOct.
Access Date2024, Sep. 20
Secondary TypePRE PI
Number of Files1
Size9025 KiB
2. Context
Author1 Ogashawara, Igor
2 Mishra, Deepak
3 Mishra, Sachidananda
4 Curtarelli, Marcelo Pedroso
5 Stech, Jose Luiz
Resume Identifier1
2
3
4
5 8JMKD3MGP5W/3C9JHHN
Group1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2
3
4 SER-SRE-SPG-INPE-MCTI-GOV-BR
5 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Univ Georgia, Dept Geog, Athens, GA 30602 USA
3 Dow Agrosci, Indianapolis, IN 46268 USA
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 igoroga@gmail.com
2
3
4 mpedroso@dsr.inpe.br
5 stech@dsr.inpe.br
e-Mail Addressstech@dsr.inpe.br
JournalRemote Sensing
Volume5
Number10
Pages4774-4798
Secondary MarkB3 B4 B4 C
History (UTC)2013-12-12 17:22:50 :: lattes -> administrator ::
2013-12-12 17:23:41 :: administrator -> lattes :: 2013
2013-12-12 18:18:11 :: lattes -> administrator :: 2013
2020-10-01 15:57:49 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordscyanobacteria
phycocyanin
chlorophyll-a
band ratio
remote sensing reflectance
hyperspectral sensors
chlorophyll-a concentration
turbid productive waters
cyanobacterial blooms
remote
pigments
AbstractWe evaluated the accuracy and sensitivity of six previously published reflectance based algorithms to retrieve Phycocyanin (PC) concentration in inland waters. We used field radiometric and pigment data obtained from two study sites located in the United States and Brazil. All the algorithms targeted the PC absorption feature observed in the water reflectance spectra between 600 and 625 nm. We evaluated the influence of chlorophyll-a (chl-a) absorption on the performance of these algorithms in two contrasting environments with very low and very high cyanobacteria content. All algorithms performed well in low to moderate PC concentrations and showed signs of saturation or decreased sensitivity for high PC concentration with a nonlinear trend. MM09 was found to be the most accurate algorithm overall with a RMSE of 15.675%. We also evaluated the use of these algorithms with the simulated spectral bands of two hyperspectral space borne sensors including Hyperion and Compact High-Resolution Imaging Spectrometer (CHRIS) and a hyperspectral air borne sensor, Hyperspectral Infrared Imager (HyspIRI). Results showed that the sensitivity for chl-a of PC retrieval algorithms for Hyperion simulated data were less noticable than using the spectral bands of CHRIS; HyspIRI results show that SC00 could be used for this sensor with low chl-a influence. This review of reflectance based algorithms can be used to select the optimal approach in studies involving cyanobacteria monitoring through optical remote sensing techniques.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > A Performance Review...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > A Performance Review...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W/3FCLE3C
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W/3FCLE3C
Languageen
User Grouplattes
marcelo.pazos@inpe.br
Reader Groupadministrator
marcelo.pazos@inpe.br
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 7
sid.inpe.br/mtc-m21/2012/07.13.14.52.14 7
sid.inpe.br/bibdigital/2013/09.13.21.11 3
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarymark tertiarytype typeofwork url
7. Description control
e-Mail (login)marcelo.pazos@inpe.br
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