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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3E7UESP
Repositorydpi.inpe.br/plutao/2013/05.31.17.22.33
Last Update2013:07.12.17.44.58 (UTC) marcelo.pazos@inpe.br
Metadata Repositorydpi.inpe.br/plutao/2013/05.31.17.22.34
Metadata Last Update2018:06.04.23.39.05 (UTC) administrator
DOI10.1088/1748-9326/8/2/024011
ISSN1748-9326
Labellattes: 1913003589198061 2 SilvaShArAnPeCaAr:2013:LaHeAm
Citation KeySilvaShArAnPeCaAr:2013:LaHeAm
TitleLarge-scale heterogeneity of Amazonian phenology revealed from 26-year long AVHRR/NDVI time-series
Year2013
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size5196 KiB
2. Context
Author1 Silva, Fabrício B
2 Shimabukuro, Yosio Edemir
3 Aragão, Luiz Eduardo Oliveira e Cruz de
4 Anderson, Liana O
5 Pereira, Gabriel
6 Cardozo, Franciele
7 Arai, Egídio
Resume Identifier1
2 8JMKD3MGP5W/3C9JJCQ
3
4
5
6
7 8JMKD3MGP5W/3C9JGUP
Group1
2 DSR-OBT-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
4
5 SER-SRE-SPG-INPE-MCTI-GOV-BR
6
7 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Institute of Surveying, Remote Sensing and Land Information, University of Natural Resources and Life Sciences (BOKU), 1190 Vienna, Austria
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1
2 yosio@ltid.inpe.br
3 l.aragao@exeter.ac.uk
4
5 pereira@ufsj.edu.br
e-Mail Addressyosio@ltid.inpe.br
JournalEnvironmental Research Letters
Volume8
Number2
Pages024011-024011
Secondary MarkA1 A2 B1
History (UTC)2013-05-31 20:37:27 :: lattes -> administrator :: 2013
2016-07-03 20:22:23 :: administrator -> marcelo.pazos@inpe.br :: 2013
2016-10-12 23:24:29 :: marcelo.pazos@inpe.br -> administrator :: 2013
2018-06-04 23:39:05 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsCrops
Image resolution
Radiometers
Vegetation
Landsat thematic mapper images
Moderate resolution imaging spectroradiometer
Ndvi temporal profiles
Normalized difference vegetation index
Project for on-board autonomies
Retrieval accuracy
Satellite Pour l'Observation de la Terre
Unmixing algorithms
Satellite imagery
algorithm
crop plant
data set
land cover
Landsat thematic mapper
MODIS
NDVI
sensor
spatial resolution
SPOT
time series
Brazil
Sao Paulo [Brazil]
Proba CORRESPONDENCE ADDRESS: Atzberger
C.
Institute of Surveying
Remote Sensing and Land Information
University of Natural Resources and Life Sciences (BOKU)
1190 Vienna
Austria
email: clement.atzberger@boku.ac.at
AbstractDepiction of phenological cycles in tropical forests is critical for an understanding of seasonal patterns in carbon and water fluxes as well as the responses of vegetation to climate variations. However, the detection of clear spatially explicit phenological patterns across Amazonia has proven difficult using data from the Moderate Resolution Imaging Spectroradiometer (MODIS). In this work, we propose an alternative approach based on a 26-year time-series of the normalized difference vegetation index (NDVI) from the Advanced Very High Resolution Radiometer (AVHRR) to identify regions with homogeneous phenological cycles in Amazonia. Specifically, we aim to use a pattern recognition technique, based on temporal signal processing concepts, to map Amazonian phenoregions and to compare the identified patterns with field-derived information. Our automated method recognized 26 phenoregions with unique intra-annual seasonality. This result highlights the fact that known vegetation types in Amazonia are not only structurally different but also phenologically distinct. Flushing of new leaves observed in the field is, in most cases, associated to a continuous increase in NDVI. The peak in leaf production is normally observed from the beginning to the middle of the wet season in 66% of the field sites analyzed. The phenoregion map presented in this work gives a new perspective on the dynamics of Amazonian canopies. It is clear that the phenology across Amazonia is more variable than previously detected using remote sensing data. An understanding of the implications of this spatial heterogeneity on the seasonality of Amazonian forest processes is a crucial step towards accurately quantifying the role of tropical forests within global biogeochemical cycles.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Large-scale heterogeneity of...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Large-scale heterogeneity of...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
silvalarge.pdf 12/07/2013 14:43 5.1 MiB
4. Conditions of access and use
data URLhttp://urlib.net/ibi/J8LNKAN8RW/3E7UESP
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/3E7UESP
Languageen
Target Filesilvalarge.pdf
User Groupadministrator
lattes
marciana
yosio@ltid.inpe.br
Reader Groupadministrator
marcelo.pazos@inpe.br
marciana
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 1
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
NotesErratum: Large-scale heterogeneity of Amazonian phenology revealed from 26-year long AVHRR/NDVI time-series (Environmental Research Letters (2013) 8 (024011)
DOI: 10.1088/1748-9326/8/2/029502
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Description control
e-Mail (login)marcelo.pazos@inpe.br
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