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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3S29LAS
Repositorysid.inpe.br/mtc-m21c/2018/10.10.14.10   (restricted access)
Last Update2018:10.10.14.10.10 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2018/10.10.14.10.10
Metadata Last Update2021:02.12.04.03.20 (UTC) administrator
DOI10.1016/j.rse.2018.09.017
ISSN0034-4257
Citation KeyMartinsSoNoBaPiArKa:2018:AsAtCo
TitleContinental-scale surface reflectance product from CBERS-4 MUX data: Assessment of atmospheric correction method using coincident Landsat observations
Year2018
MonthDec.
Access Date2024, Apr. 26
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size4849 KiB
2. Context
Author1 Martins, Vitor S.
2 Soares, João Vianei
3 Novo, Evlyn Márcia Leão de Moraes
4 Barbosa, Cláudio Clemente Faria
5 Pinto, Cibele T.
6 Arcanjo, Jeferson de Souza
7 Kaleita, Amy
Resume Identifier1
2 8JMKD3MGP5W/3C9JHF6
3 8JMKD3MGP5W/3C9JH39
4 8JMKD3MGP5W/3C9JGSB
Group1
2 COACB-CGOBT-INPE-MCTIC-GOV-BR
3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
4 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
5
6 CGOBT-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Iowa State University (ISU)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 South Dakota State Universit
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Iowa State University (ISU)
Author e-Mail Address1
2 joao.soares@inpe.br
3 evlyn.novo@inpe.br
4 claudio.barbosa@inpe.br
5
6 jeferson.arcanjo@inpe.br
JournalRemote Sensing of Environment
Volume218
Pages55-68
Secondary MarkA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE
History (UTC)2018-10-10 14:10:10 :: simone -> administrator ::
2018-10-10 14:10:10 :: administrator -> simone :: 2018
2018-10-10 14:11:21 :: simone -> administrator :: 2018
2019-01-04 16:57:12 :: administrator -> simone :: 2018
2019-01-07 10:40:25 :: simone -> administrator :: 2018
2021-02-12 04:03:20 :: administrator -> simone :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsCBERS
Surface reflectance
CMPAC
Landsat-8
MODIS VIIRS
AbstractA practical atmospheric correction algorithm, called Coupled Moderate Products for Atmospheric Correction (CMPAC), was developed and implemented for the Multispectral Camera (MUX) on-board the China-Brazil Earth Resources Satellite (CBERS-4). This algorithm uses a scene-based processing and sliding window technique to derive MUX surface reflectance (SR) at continental scale. Unlike other optical sensors, MUX instrument imposes constraints for atmospheric correction due to the absence of spectral bands for aerosol estimation from imagery itself. To overcome this limitation, the proposed algorithm performs a further processing of atmospheric products from Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) sensors as input parameters for radiative transfer calculations. The success of CMPAC algorithm was fully assessed and confirmed by comparison of MUX SR data with the Landsat-8 OLI Level-2 and Aerosol Robotic Network (AERONET)-derived SR products. The spectral adjustment was performed to compensate for the differences of relative spectral response between MUX and OLI sensors. The results show that MUX SR values are fairly similar to operational Landsat-8 SR products (mean difference < 0.0062, expressed in reflectance). There is a slight underestimation of MUX SR compared to OLI product (except the NIR band), but the error metrics are typically low and scattered points are around the line 1:1. These results suggest the potential of combining these datasets (MUX and OLI) for quantitative studies. Further, the robust agreement of MUX and AERONET-derived SR values emphasizes the quality of moderate atmospheric products as input parameters in this application, with root-mean-square deviation lower than 0.0047. These findings confirm that (i) CMPAC is a suitable tool for estimating surface reflectance of CBERS MUX data, and (ii) ancillary products support the application of atmospheric correction by filling the gap of atmospheric information. The uncertainties of atmospheric products, negligence of the bidirectional effects, and two aerosol models were also identified as a limitation. Finally, this study presents a framework basis for atmospheric correction of CBERS-4 MUX images. The utility of CBERS data comes from its use, and this new product enables the quantitative remote sensing for land monitoring and environmental assessment at 20 m spatial resolution.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Continental-scale surface reflectance...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Continental-scale surface reflectance...
Arrangement 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Continental-scale surface reflectance...
Arrangement 4urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COACB > Continental-scale surface reflectance...
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4. Conditions of access and use
Languageen
Target Filemartins_continental.pdf
User Groupsimone
Reader Groupadministrator
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Visibilityshown
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Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3EU2H28
8JMKD3MGPCW/446CA5P
Citing Item Listsid.inpe.br/bibdigital/2013/09.09.15.05 6
sid.inpe.br/mtc-m21/2012/07.13.14.43.57 3
sid.inpe.br/bibdigital/2013/10.01.23.43 2
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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