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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3PJDEGB
Repositorysid.inpe.br/mtc-m21b/2017/09.06.15.24
Last Update2017:09.06.15.24.05 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21b/2017/09.06.15.24.05
Metadata Last Update2018:06.04.02.27.50 (UTC) administrator
DOI10.3390/rs9080838
ISSN2072-4292
Citation KeySotheAlmeLiesSchi:2017:EvSeLa
TitleEvaluating Sentinel-2 and Landsat-8 data to map sucessional forest stages in a subtropical forest in Southern Brazil
Year2017
MonthAug.
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size5438 KiB
2. Context
Author1 Sothe, Camile
2 Almeida, Cláudia Maria de
3 Liesenberg, Veraldo
4 Schimalski, Marcos Benedito
Resume Identifier1
2 8JMKD3MGP5W/3C9JGS3
Group1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade do Estado de Santa Catarina (UDESC)
4 Universidade do Estado de Santa Catarina (UDESC)
Author e-Mail Address1 camile.sothe@inpe.br
2 almeida@dsr.inpe.br
3 veraldo@gmail.com
4 a2mbs@cav.udesc.br
JournalRemote Sensing
Volume9
Number8
PagesArticle number 838
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2017-09-06 15:24:05 :: simone -> administrator ::
2017-09-06 15:24:06 :: administrator -> simone :: 2017
2017-09-06 15:24:50 :: simone -> administrator :: 2017
2018-06-04 02:27:50 :: administrator -> simone :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordstextural features
vegetation indices
multitemporal information
random forest
support vector machine
AbstractStudies designed to discriminate different successional forest stages play a strategic role in forest management, forest policy and environmental conservation in tropical environments. The discrimination of different successional forest stages is still a challenge due to the spectral similarity among the concerned classes. Considering this, the objective of this paper was to investigate the performance of Sentinel-2 and Landsat-8 data for discriminating different successional forest stages of a patch located in a subtropical portion of the Atlantic Rain Forest in Southern Brazil with the aid of two machine learning algorithms and relying on the use of spectral reflectance data selected over two seasons and attributes thereof derived. Random Forest (RF) and Support Vector Machine (SVM) were used as classifiers with different subsets of predictor variables (multitemporal spectral reflectance, textural metrics and vegetation indices). All the experiments reached satisfactory results, with Kappa indices varying between 0.9, with Landsat-8 spectral reflectance alone and the SVM algorithm, and 0.98, with Sentinel-2 spectral reflectance alone also associated with the SVM algorithm. The Landsat-8 data had a significant increase in accuracy with the inclusion of other predictor variables in the classification process besides the pure spectral reflectance bands. The classification methods SVM and RF had similar performances in general. As to the RF method, the texture mean of the red-edge and SWIR bands were considered the most important ranked attributes for the classification of Sentinel-2 data, while attributes resulting from multitemporal bands, textural metrics of SWIR bands and vegetation indices were the most important ones in the Landsat-8 data classification.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Evaluating Sentinel-2 and...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Evaluating Sentinel-2 and...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP3W34P/3PJDEGB
zipped data URLhttp://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP3W34P/3PJDEGB
Languageen
Target Filesothe_evaluating.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 4
sid.inpe.br/mtc-m21/2012/07.13.14.43.49 2
sid.inpe.br/bibdigital/2013/09.13.21.11 1
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; 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 mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
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