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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/46RNGPL
Repositorysid.inpe.br/mtc-m21d/2022/05.09.12.30
Last Update2022:05.09.12.30.30 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2022/05.09.12.30.30
Metadata Last Update2023:01.03.16.46.06 (UTC) administrator
DOI10.3390/rs14081829
ISSN2072-4292
Citation KeyPaulinoMaNoBaLiBe:2022:AsAdCo
TitleAssessment of Adjacency Correction over Inland Waters Using Sentinel-2 MSI Images
Year2022
MonthApr.
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size6668 KiB
2. Context
Author1 Paulino, Rejane de Souza
2 Martins, Vitor S.
3 Novo, Evlyn Márcia Leão de Moraes
4 Barbosa, Cláudio Clemente Faria
5 Lino, A. S. de Carvalho
6 Begliomini, Felipe Nincao
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JH39
4 8JMKD3MGP5W/3C9JGSB
Group1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
4 DIOTG-CGCT-INPE-MCTI-GOV-BR
5
6 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Universidade Federal do Rio de Janeiro (UFRJ)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Universidade Federal do Rio de Janeiro (UFRJ)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 rejane.dspaulino@gmail.com
2 vmartins@abe.msstate.edu
3 evlyn.novo@inpe.br
4 claudio.barbosa@inpe.br
5 lino.sander@igeo.ufrj.br
6 fnincao@hotmail.com
JournalRemote Sensing
Volume14
Number8
Pagese1829
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2022-05-09 12:30:31 :: simone -> administrator ::
2022-05-09 12:30:31 :: administrator -> simone :: 2022
2022-05-09 12:30:53 :: simone -> administrator :: 2022
2023-01-03 16:46:06 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywords6SV
adjacency effects
aerosol
atmospheric correction
radiative transfer
surface reflectance
AbstractSatellite remote sensing data have been used for water quality mapping, but accurate water reflectance retrieval is dependent on multiple procedures, such as atmospheric and adjacency corrections. For the latter, physical-based methods are used to minimize the adjacency effects caused by neighboring land targets close to water pixels, and implementation requires atmospheric and environmental parameters, such as aerosol optical depth and horizontal range (i.e., distance in meters) of the adjacency effect (HAdj). Generally, the HAdj is empirically defined by users and can lead to substantial errors in water reflectance when incorrectly used. In this research, a physical-based approach with three empirical methods to determine the HAdj (fixed, SIMilarity Environment CorrectionSIMEC, and Adaptative Window by ProportionAWP-Inland Water) were used to correct and characterize the adjacency effects in Sentinel-2 images over Brazilian inland waters. An interactive inversion method of the deep blue waveband estimated the aerosol loading for the atmospheric correction procedure. The results of atmospheric and adjacency corrections were validated against in-situ reflectance data. The inverted aerosol loading achieved a good agreement with in-situ measurements, especially at visible wavelengths (Mean Absolute Percentage ErrorMAPE for eutrophic (~56%), bright (~80%), and dark (~288%) waters). The adjacency correction performance was near similar between the SIMEC and AWP-Inland Water methods in eutrophic and bright waters (MAPE difference < 3%). However, only the AWP-Inland Water method provided a smaller error (MAPE ~53%) for dark waters compared to the fixed (~108%) and SIMEC (~289%) methods, which shows how critical HAdj parametrization is for low water reflectance values. Simulations of different atmospheric and adjacency effects were performed, and they highlighted the importance of adjacency correction under aerosol loading higher 0.1, which is a typical aerosol loading in a dry climate season, and over extremely dark, low-reflectance waters. This paper contributes to further understanding adjacency effects in medium spatial resolution imagery of inland waters using a physical-based approach including the uncertainties in HAdj determination.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Assessment of Adjacency...
Arrangement 2urlib.net > BDMCI > Fonds > LabISA > Assessment of Adjacency...
Arrangement 3urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Assessment of Adjacency...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34T/46RNGPL
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34T/46RNGPL
Languageen
Target Fileremotesensing-14-01829.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/439EAFB
8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 5
sid.inpe.br/bibdigital/2020/09.18.00.06 5
sid.inpe.br/bibdigital/2022/04.03.22.23 3
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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