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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP6W34M/3PSMDAS
Repositorysid.inpe.br/marte2/2017/10.27.15.52.36
Last Update2017:10.27.15.52.36 (UTC) administrator
Metadata Repositorysid.inpe.br/marte2/2017/10.27.15.52.37
Metadata Last Update2018:06.06.03.11.41 (UTC) administrator
ISBN978-85-17-00088-1
Label59460
Citation KeyGirolamoNetoFonValNevKor:2017:DeClAu
TitleDesafios na classificação automática de fitofisionomias do Cerrado brasileiro com base em mapas de referência na escala 1:250.000
FormatInternet
Year2017
Access Date2024, May 18
Secondary TypePRE CN
Number of Files1
Size1437 KiB
2. Context
Author1 Girolamo Neto, Cesare Di
2 Fonseca, Leila Maria Garcia
3 Valeriano, Dalton de Morisson
4 Neves, Alana Kasahara
5 Korting, Thales Sehn
Resume Identifier1
2 8JMKD3MGP5W/3C9JHLD
3 8JMKD3MGP5W/3C9JGT4
Group1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
2 CGOBT-CGOBT-INPE-MCTIC-GOV-BR
3 COAMZ-CGOBT-INPE-MCTIC-GOV-BR
4 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
5 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 cesare.neto@gmail.com
EditorGherardi, Douglas Francisco Marcolino
Aragão, Luiz Eduardo Oliveira e Cruz de
e-Mail Addressdaniela.seki@inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
Conference LocationSantos
Date28-31 maio 2017
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages6647-6654
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2017-10-27 15:52:37 :: banon -> administrator ::
2017-11-05 11:20:20 :: administrator -> banon :: 2017
2017-12-14 18:16:41 :: banon -> administrator :: 2017
2018-06-06 03:11:41 :: administrator -> simone :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractBrazilian Savanna, also known as Cerrado, is one of the most important biomes in world in terms of biodiversity. Mapping Cerrado is an important task, considering that deforestation reached almost half of its original area. Two classification systems are currently used to map Cerrado Land Cover and reference maps are available on the scale of 1:250.000. Thus, the aim of this study is to discuss the challenges regarding the automatic classification of Cerrado land cover using the reference maps of 1:250.000 produced by Brazilian Institute of Geography and Statistics (IBGE). Three protected Cerrado areas were used in this study, Brasília National Park (DF), Emas National Park (GO) and Chapada das Mesas National Park (MA). Images from the Landsat-8 satellite, acquired in the dry and wet seasons, were used in the classification. Images were segmented and classified according to Brazilian vegetation classification system. Classification was performed through the random forest algorithm. The classification results pointed out an overall accuracy of 84.4%. The main source of classification error was transition areas among the vegetation formations. Due to the map scale, some areas close to the edges are not distinguished with precision and may be incorrectly classified. The use of high resolution images can improve the classification results in the vegetation boundaries. Another notable problem is that the Brazilian vegetation classification system does not separate Gallery Forests from other classes although the segmentation has distinguished these segments quite well.
AreaSRE
TypeClassificação e mineração de dados
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > SBSR 18 > Desafios na classificação...
Arrangement 2Projeto Memória 60... > Livros e livros editados > SBSR 18 > Desafios na classificação...
Arrangement 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Desafios na classificação...
Arrangement 4urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COAMZ > Desafios na classificação...
Arrangement 5urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Desafios na classificação...
Arrangement 6urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Desafios na classificação...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP6W34M/3PSMDAS
zipped data URLhttp://urlib.net/zip/8JMKD3MGP6W34M/3PSMDAS
Languagept
Target File59460.pdf
User Groupbanon
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGP6W34M/3PMFNUS
8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ETL435
8JMKD3MGPCW/3EU2H28
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/marte2/2017/09.25.14.55 9
sid.inpe.br/bibdigital/2013/09.09.15.05 5
sid.inpe.br/bibdigital/2013/10.01.23.43 2
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition issn keywords lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype url versiontype volume
7. Description control
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