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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3RAQSKP
Repositorysid.inpe.br/plutao/2018/06.19.04.38   (restricted access)
Last Update2018:06.20.15.48.48 (UTC) lattes
Metadata Repositorysid.inpe.br/plutao/2018/06.19.04.38.27
Metadata Last Update2019:01.14.17.09.18 (UTC) administrator
DOI10.1016/j.jag.2018.02.010
ISSN0303-2434
Labellattes: 7484071887086439 1 AdamiBAFSERA:2018:SeVeTy
Citation KeyAdamiBAFSERA:2018:SeVeTy
TitleSeasonality of vegetation types of South America depicted by moderate resolution imaging spectroradiometer (MODIS) time series
Year2018
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size6161 KiB
2. Context
Author1 Adami, Marcos
2 Bernardes, Sérgio
3 Arai, Egidio
4 Freitas, Ramon M.
5 Shimabukuro, Yosio Edemir
6 Espírito-Santo, Fernando D. B.
7 Rudorff, Bernardo F. T.
8 Anderson, Liana O.
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JGUP
4
5 8JMKD3MGP5W/3C9JJCQ
Group1 CRCRA-COCRE-INPE-MCTIC-GOV-BR
2
3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
4
5 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 University of Georgia Athen
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Aerial Photography & Imaging Science
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Lancaster Environment Centre (LEC)
7 Agrosatélite Geotecnologia Aplicada Ltda
8 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
Author e-Mail Address1 marcos.adami@inpe.br
2
3 egidio.arai@inpe.br
4
5 yosio.shimabukuro@inpe.br
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume69
Pages148-163
Secondary MarkB1_GEOCIÊNCIAS
History (UTC)2018-06-19 04:38:27 :: lattes -> administrator ::
2018-06-19 11:34:31 :: administrator -> lattes :: 2018
2018-06-19 12:45:54 :: lattes -> administrator :: 2018
2018-06-20 15:45:57 :: administrator -> lattes :: 2018
2018-06-20 15:48:49 :: lattes -> administrator :: 2018
2019-01-14 17:09:18 :: administrator -> simone :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsVegetation dynamics
Land cover
Disturbance
Phenology
MODISSpectral mixing model
Principal component analysis
Time series
AbstractThe development, implementation and enforcement of policies involving the rational use of the land and the conservation of natural resources depend on an adequate characterization and understanding of the land cover, including its dynamics. This paper presents an approach for monitoring vegetation dynamics using high-quality time series of MODIS surface reflectance data by generating fraction images using Linear Spectral Mixing Model (LSMM) over South America continent. The approach uses physically-based fraction images, which highlight target information and reduce data dimensionality. Further dimensionality was also reduced by using the vegetation fraction images as input to a Principal Component Analysis (PCA). The RGB composite of the first three PCA components, accounting for 92.9% of the dataset variability, showed good agreement with the main ecological regions of South America continent. The analysis of 21 temporal profiles of vegetation fraction values and precipitation data over South America showed the ability of vegetation fractions to represent phenological cycles over a variety of environments. Comparisons between vegetation fractions and precipitation data indicated the close relationship between water availability and leaf mass/chlorophyll content for several vegetation types. In addition, phenological changes and disturbance resulting from anthropogenic pressure were identified, particularly those associated with agricultural practices and forest removal. Therefore the proposed method supports the management of natural and non-natural ecosystems, and can contribute to the understanding of key conservation issues in South America, including deforestation, disturbance and fire occurrence and management.
AreaSRE
Arrangement 1urlib.net > DIDSR > Seasonality of vegetation...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CRCRA > Seasonality of vegetation...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Fileadami_seasonality.pdf
Reader Groupadministrator
lattes
Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3EUAE4H
Citing Item Listsid.inpe.br/bibdigital/2013/09.13.21.11 2
sid.inpe.br/bibdigital/2013/10.03.18.52 1
sid.inpe.br/mtc-m21/2012/07.13.14.45.03 1
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url usergroup
7. Description control
e-Mail (login)simone
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