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Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP6W34M/3PS4FNH
Repositorysid.inpe.br/marte2/2017/10.23.19.25.18
Last Update2017:10.23.19.25.18 administrator
Metadatasid.inpe.br/marte2/2017/10.23.19.25.19
Metadata Last Update2021:03.06.19.30.35 administrator
ISBN978-85-17-00088-1
Label59610
Citation KeyReisEscaSantDutr:2017:HaLeFo
TitleHarmonização de legendas formalizadas em Land Cover Meta Language-LCML
FormatInternet
Year2017
Access Date2021, Apr. 11
Number of Files1
Size648 KiB
Context area
Author1 Reis, Mariane Souza
2 Escada, Maria Isabel Sobral
3 Sant'Anna, Sidnei João Siqueira
4 Dutra, Luciano Vieira
Resume Identifier1
2 8JMKD3MGP5W/3C9JHRG
3 8JMKD3MGP5W/3C9JJ8N
4 8JMKD3MGP5W/3C9JHMA
Group1 CST-CST-SESPG-INPE-MCTIC-GOV-BR
2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 reis@dpi.inpe.br
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
Pages863-870
Book TitleAnais
Secondary TypePRE CN
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History2017-10-23 19:25:19 :: banon -> administrator ::
2021-03-06 19:30:35 :: administrator -> simone :: 2017
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Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractMany agencies have been producing land cover data with different definition, number and type of classes. In order to compare two data sets created using different legends and/or classification systems, it is necessary to carry out a harmonization process. This work aims to present and evaluate a harmonization process between two Land Cover Meta Language (LCML) formalized legends. To this purpose, two types of land cover legends obtained from maps from satellite images generated for Amazon region were analyzed and had their legends harmonized based on two approaches: 1) considering the semantic meaning of the classes and; 2) considering LCML descriptors and thresholds. The land cover maps generated with optical and SAR data were reclassified considering the harmonized legends proposed and were evaluated in terms of accuracy and agreement of the classes. For this analysis it was necessary to convert the land cover mappings to the same format and projection, and to solve problems of miss-registration. Although the harmonization process has shown to be effective, not all of the classes from TerraClass legend could be harmonized to the classes of the two maps analyzed.
AreaSRE
TypeProcessamento de imagens
Arrangement 1urlib.net > BDMCI > Fonds > SBSR > SBSR 18 > Harmonização de legendas...
Arrangement 2urlib.net > BDMCI > Fonds > Produção > DIDSR > SBSR 18 > Harmonização de legendas...
Arrangement 3urlib.net > BDMCI > Fonds > Produção > DIDPI > Harmonização de legendas...
Arrangement 4urlib.net > BDMCI > Fonds > Produção > CST > Harmonização de legendas...
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data URLhttp://urlib.net/rep/8JMKD3MGP6W34M/3PS4FNH
zipped data URLhttp://urlib.net/zip/8JMKD3MGP6W34M/3PS4FNH
Languagept
Target File59610.pdf
User Groupbanon
Visibilityshown
Allied materials area
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGP6W34M/3PMFNUS
8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/449U4PL
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
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