Close
Metadata

Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier3ERPFQRTRW34M/3E7GLCP
Repositorydpi.inpe.br/marte2/2013/05.29.00.52.33
Last Update2013:05.29.00.52.33 (UTC) administrator
Metadatadpi.inpe.br/marte2/2013/05.29.00.52.34
Metadata Last Update2021:03.06.19.30.34 (UTC) administrator
ISBN978-85-17-00066-9 (Internet)
978-85-17-00065-2 (DVD)
Label1444
Citation KeySaitoArguMore:2013:MiDaAn
TitleMineração de dados para análise da cobertura florestal
FormatDVD, Internet.
Year2013
Access Date2022, Jan. 22
Secondary TypePRE CN
Number of Files1
Size495 KiB
Context area
Author1 Saito, Nathália Suemi
2 Arguello, Fernanda Viana Paiva
3 Moreira, Maurício Alves
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHT4
Group1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2 CST-CST-SPG-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 nssaito@gmail.com
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 16 (SBSR)
Conference LocationFoz do Iguaçu
Date13-18 abr. 2013
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages2400-2407
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2013-05-29 00:52:34 :: banon -> administrator ::
2021-03-06 19:30:34 :: administrator -> marcelo.pazos@inpe.br :: 2013
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractThe landscape ecology metrics associated with spectral and space data mining can be used to increase the potential of the analysis and applications of remote sensing data becoming an important tool for decision making. The present study sought to use data mining techniques and metrics of landscape ecology to classify and quantify the different types of vegetation present in São Luis do Paraitinga city, Sao Paulo, Brazil. The images went through object-oriented analysis through the plugin GeoDMA to obtain spectral and spatial data. This information was used to classify classes by decision trees. Eucalyptus and Forest fragment areas represented 8.6% and 36,1% of the total area, respectively. The decision tree generated by the classification algorithm was used to obtain the map of forest cover. The classification by decision tree showed kappa of 0.80, indicating little confusion. The results indicate the importance of the forest sector and contribute in studies to contain the impacts and problems caused by the expansion of eucalyptus plantations in the municipality. The generation of classifications by the method of data mining metrics associated with landscape ecology proved to be an affordable and reliable tool to extract the spatial and spectral data with remote sensing techniques. The method was efficient for the separation of forest classes and the metrics used were important to better understand the objects inserted in the landscape and the pressures they suffer.
AreaSRE
TypeClassificação e Mineração de Dados
Arrangement 1Projeto Memória 60... > Livros e livros editados > SBSR 16 > Mineração de dados...
Arrangement 2Mineração de dados...
Arrangement 3urlib.net > BDMCI > Fonds > Produção PGR > SER > Mineração de dados...
Arrangement 4urlib.net > BDMCI > Fonds > Produção PGR > CST > Mineração de dados...
Arrangement 5urlib.net > BDMCI > Fonds > Produção PGR > CST > Mineração de dados...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
Conditions of access and use area
data URLhttp://urlib.net/ibi/3ERPFQRTRW34M/3E7GLCP
zipped data URLhttp://urlib.net/zip/3ERPFQRTRW34M/3E7GLCP
Languagept
Target Filep1444.pdf
User Groupadministrator
banon
Visibilityshown
Allied materials area
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units3ERPFQRTRW34M/3E7G88S
8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/449U4PL
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
Notes area
Empty Fieldsaccessionnumber archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition issn keywords lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype url versiontype volume
Description control area
e-Mail (login)marcelo.pazos@inpe.br
update 

Close