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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3R3EDKH
Repositorysid.inpe.br/mtc-m21c/2018/05.04.17.58   (restricted access)
Last Update2018:05.04.17.58.27 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2018/05.04.17.58.27
Metadata Last Update2020:12.07.21.11.36 (UTC) administrator
DOI10.1016/j.rsase.2017.12.004
ISSN2352-9385
Citation KeyWatanabeAlcCurKamSte:2018:LaReSe
TitleLandsat-based remote sensing of the colored dissolved organic matter absorption coefficient in a tropical oligotrophic reservoir
Year2018
MonthJan.
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1124 KiB
2. Context
Author1 Watanabe, Fernanda
2 Alcântara, Enner
3 Curtarelli, Marcelo
4 Kampel, Milton
5 Stech, José Luiz
Resume Identifier1
2
3
4 8JMKD3MGP5W/3C9JHTG
5 8JMKD3MGP5W/3C9JHHN
Group1
2
3
4 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
5 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Universidade Estadual Paulista (UNESP)
2 Universidade Estadual Paulista (UNESP)
3 Universidade federal de Santa Catarina (UFSC)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 fernanda@fct.unesp.br
2
3
4 milton.kampel@inpe.br
JournalRemote Sensing Applications: Society and Environment
Volume9
Pages82-90
History (UTC)2018-05-04 17:59:06 :: simone -> administrator :: 2018
2019-01-04 16:57:04 :: administrator -> simone :: 2018
2019-01-07 10:58:03 :: simone -> administrator :: 2018
2020-12-07 21:11:36 :: administrator -> simone :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsRemote sensing
Inland water
Water quality
Bio-optical properties
AbstractColored dissolved organic matter (CDOM) is a photoactive fraction of organic carbon that can be detected via remotely sensed data (proximal and satellite). The retrieval of the absorption coefficient of CDOM (aCDOM) in reservoirs is important because it is related to the carbon budget and is a possible source of greenhouse gas that is emitted from aquatic ecosystems. In this context, we divided this study into three steps: (1) evaluating four retrieval algorithms for aquatic CDOM proposed for different types of waters; (2) recalibrating the algorithms using field data; and (3) adjusting new algorithms based on Landsat 5 TM bands. This research aimed to evaluate the use of Landsat 5 TM images for retrieving aCDOM in oligotrophic inland waters. The best performing model in the literature exhibited a normalized root mean square error (NRMSE) value of 29.5% and a mean absolute percentage error (MAPE) value of 25.4%, showing that some models proposed for marine water may be applied to specific inland waters. After recalibration, the best result was NRMSE = 29.9% and MAPE = 24.8%. The Landsat 5 TM bands yielded accurate results (NRMSE = 26.2% and MAPE = 33.6%), which indicated the potential for using Landsat data to monitor the bio-optical properties in inland waters.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Landsat-based remote sensing...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 04/05/2018 14:58 1.0 KiB 
4. Conditions of access and use
Languageen
Target Filewatanabe_landsat.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/bibdigital/2013/09.13.21.11 2
sid.inpe.br/mtc-m21/2012/07.13.14.56.38 1
DisseminationPORTALCAPES; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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7. Description control
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