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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGPBW/34DFUJP
Repositorysid.inpe.br/mtc-m17@80/2008/12.17.01.44   (restricted access)
Last Update2010:09.15.11.56.29 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m17@80/2008/12.17.01.44.34
Metadata Last Update2021:02.24.02.58.46 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1109/TGRS.2008.916648
ISSN0196-2892
Citation KeyAlcântaraSteNovShiBar:2008:TuAmFl
TitleTurbidity in the Amazon floodplain assessed through a spatial regression model applied to fraction images derived from MODIS/Terra
Year2008
MonthOct.
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1367 KiB
2. Context
Author1 Alcântara, Enner Herenio de
2 Stech, José Luiz
3 Novo, Evlyn Márcia Leão de Moraes
4 Shimabukuro, Yosio Edemir
5 Barbosa, Claudio Clemente
Resume Identifier1
2
3
4
5
6
7 8JMKD3MGP5W/3C9JJCQ
Group1
2
3
4
5 DPI-OBT-INPE-MCT-BR
Affiliation1 UNESP-Universidade Estadual Paulista, Departamento de Cartografia, Sao Paulo, Brazil
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)
Author e-Mail Address1 enner@dsr.inpe.br
2 stech@dsr.inpe.br
3 evlyn@dsr.inpe.br
4 yosio@dsr.inpe.br
5 claudio@dpi.inpe.br
e-Mail Addressenner@dsr.inpe.br
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume46
Number10
Pages2895-2905
ProgressePrint update
Secondary MarkA_CIÊNCIA_DA_COMPUTAÇÃO A_CIÊNCIAS_AGRÁRIAS A_GEOCIÊNCIAS A_GEOGRAFIA B_ASTRONOMIA_/_FÍSICA
History (UTC)2008-12-17 02:10:08 :: banon -> administrator ::
2010-05-11 02:45:26 :: administrator -> banon ::
2011-11-03 11:47:22 :: banon -> administrator :: 2008
2016-06-04 21:40:18 :: administrator -> simone :: 2008
2016-08-17 18:10:20 :: simone -> administrator :: 2008
2021-02-24 02:58:46 :: administrator -> simone :: 2008
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsturbidity
spatial regression model
MODIS
fraction images
Amazon floodplain
sensoriamento remoto
imagens MODIS
modelo de mistura
modelos digitais de terreno
AbstractThe objective of this paper was to estimate turbidity in the Curuai floodplain during the high water level period. Spatial regression models were developed by using fraction images derived from a linear spectral mixture model applied to a Moderate Resolution Imaging Spectroradiometer/Terra image and turbidity in situ data. As the turbidity in situ data showed spatial autocorrelation, they were divided into four spatial regimes (clusters). Thus, a spatial regression model was developed for each spatial regime. Through the Akaike information criterion, it was verified which spatial regime showed the best fit in the spatial regression model. The best fit was presented by the spatial regime 4 (R2 = 0.80, p < 0.05). Then, the spatial regression model developed for the spatial regime 4 was applied to all floodplain lakes. The spatial regression models show potential for assessing the water turbidity in aquatic systems by considering a spatial dependence between samples.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Turbidity in the...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target File04610925.pdf
User Groupadministrator
enner@dsr.inpe.br
administrator
banon
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher allowfinaldraft
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Previous Editionsid.inpe.br/mtc-m17@80/2007/12.10.18.38
LinkingTrabalho Vinculado à Tese/Dissertação
Next Higher Units8JMKD3MGPCW/3EQCCU5
DisseminationWEBSCI; PORTALCAPES; IEEEXplore.
Host Collectionlcp.inpe.br/ignes/2004/02.12.18.39
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notes
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