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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3MPQED8
Repositorysid.inpe.br/mtc-m21b/2016/11.11.18.01   (restricted access)
Last Update2016:11.11.18.01.47 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21b/2016/11.11.18.01.47
Metadata Last Update2018:06.04.02.41.16 (UTC) administrator
DOI10.1016/j.jag.2016.05.005
ISSN0303-2434
Citation KeyMaedaMWHLWCMAS:2016:CoVeIn
TitleConsistency of vegetation index seasonality across the Amazon rainforest
Year2016
MonthOct.
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size5242 KiB
2. Context
Author 1 Maeda, Eduardo Eiji
 2 Moura, Yhasmin Mendes de
 3 Wagner, Fabien Hubert
 4 Hilker, Thomas
 5 Lyapustin, Alexei I.
 6 Wang, Yujie
 7 Chave, Jerome
 8 Mottus, Matti
 9 Aragão, Luiz Eduardo Oliveira e Cruz de
10 Shimabukuro, Yosio Edemir
Resume Identifier 1
 2
 3
 4
 5
 6
 7
 8
 9
10 8JMKD3MGP5W/3C9JJCQ
Group 1
 2 SER-SRE-SPG-INPE-MCTI-GOV-BR
 3 DSR-OBT-INPE-MCTI-GOV-BR
 4
 5
 6
 7
 8
 9 DSR-OBT-INPE-MCTI-GOV-BR
10 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation 1 University of Helsinki
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 Instituto Nacional de Pesquisas Espaciais (INPE)
 4 Oregon State University
 5 NASA Goddard Space Flight Center
 6 University of Maryland
 7 Université Paul Sabatier
 8 University of Helsinki
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address 1 eduardo.maeda@helsinki.fi
 2 yhas.mendes@gmail.com
 3 fabien.wagner@inpe.br
 4
 5
 6
 7
 8
 9 luiz.aragao@inpe.br
10 yosio.shimabukuro@inpe.br
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume52
Pages42-53
Secondary MarkB1_GEOCIÊNCIAS
History (UTC)2016-11-11 18:01:47 :: simone -> administrator ::
2016-11-11 18:01:48 :: administrator -> simone :: 2016
2016-11-11 18:03:18 :: simone -> administrator :: 2016
2016-11-12 18:53:47 :: administrator -> simone :: 2016
2016-12-22 16:55:19 :: simone -> administrator :: 2016
2018-06-04 02:41:16 :: administrator -> simone :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsMODIS
MAIAC
Seasonality
Phenology
EVI
NDVI
GEP
BRDF effect
AbstractVegetation indices (VIs) calculated from remotely sensed reflectance are widely used tools for characterizing the extent and status of vegetated areas. Recently, however, their capability to monitor the Amazon forest phenology has been intensely scrutinized. In this study, we analyze the consistency of VIs seasonal patterns obtained from two MODIS products: the Collection 5 BRDF product (MCD43) and the Multi-Angle Implementation of Atmospheric Correction algorithm (MAIAC). The spatio-temporal patterns of the VIs were also compared with field measured leaf litterfall, gross ecosystem productivity and active microwave data. Our results show that significant seasonal patterns are observed in all VIs after the removal of view-illumination effects and cloud contamination. However, we demonstrate inconsistencies in the characteristics of seasonal patterns between different VIs and MODIS products. We demonstrate that differences in the original reflectance band values form a major source of discrepancy between MODIS VI products. The MAIAC atmospheric correction algorithm significantly reduces noise signals in the red and blue bands. Another important source of discrepancy is caused by differences in the availability of clear-sky data, as the MAIAC product allows increased availability of valid pixels in the equatorial Amazon. Finally, differences in Vis seasonal patterns were also caused by MODIS collection 5 calibration degradation. The correlation of remote sensing and field data also varied spatially, leading to different temporal offsets between Vls, active microwave and field measured data. We conclude that recent improvements in the MAIAC product have led to changes in the characteristics of spatio-temporal patterns of VIs seasonality across the Amazon forest, when compared to the MCD43 product. Nevertheless, despite improved quality and reduced uncertainties in the MAIAC product, a robust biophysical interpretation of VIs seasonality is still missing.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Consistency of vegetation...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Consistency of vegetation...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target Filemaeda_consistency.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 4
sid.inpe.br/bibdigital/2013/09.13.21.11 2
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
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