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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3N2UA78
Repositorysid.inpe.br/mtc-m21b/2016/12.19.12.46
Last Update2017:02.24.15.40.27 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21b/2016/12.19.12.46.05
Metadata Last Update2023:03.01.23.37.46 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyGirolamoNetoFonsKört:2016:CaStBr
TitleAssessment of texture features for Brazilian savanna classification: a case study in Brasilia National Park
Year2016
Access Date2024, May 18
Secondary TypePRE CN
Number of Files1
Size1389 KiB
2. Context
Author1 Girolamo Neto, Cesare di
2 Fonseca, Leila Maria Garcia
3 Körting, Thales Sehn
Resume Identifier1
2 8JMKD3MGP5W/3C9JHLD
Group1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2 OBT-OBT-INPE-MCTI-GOV-BR
3 DPI-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 cesare.neto@inpe.br
2 leila.fonseca@inpe.br
3 thales.korting@inpe.br
Conference NameBrazilian Symposium on GeoInformatics, 17 (GEOINFO)
Conference LocationCampos do Jordão, SP
Date27-30 nov. 2016
Book TitleAnais
History (UTC)2016-12-19 12:46:11 :: simone -> administrator :: 2016
2016-12-20 05:56:48 :: administrator -> simone :: 2016
2016-12-22 16:44:34 :: simone -> administrator :: 2016
2017-02-20 15:56:31 :: administrator -> simone :: 2016
2017-02-24 15:40:27 :: simone -> administrator :: 2016
2018-06-04 02:41:40 :: administrator -> simone :: 2016
2020-05-20 13:51:24 :: simone -> administrator :: 2016
2023-03-01 23:37:46 :: administrator -> simone :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typepublisher
AbstractDistinguishing Brazilian savanna physiognomies is an essential task to better evaluate carbon storage and potential emissions of greenhouse gases. In this study, we propose to evaluate the potential of texture features to improve the discrimination among five physiognomies in the Brazilian savanna: Open Grasslands, Shrubby Grassland, Shrubby Savanna, Savanna Woodland and Gallery Forest. Texture features extracted from RapidEye images and also from Spectral Linear Mixture Model components and Vegetation Index are evaluated in this study. Results showed that texture features based on GLCM can reduce misclassification for Open Grasslands, Shrubby Grasslands and Shrubby Savanna classes.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Assessment of texture...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Assessment of texture...
Arrangement 3urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Assessment of texture...
Arrangement 4urlib.net > BDMCI > Fonds > GEOINFO > Coleção GEOINFO > Assessment of texture...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 19/12/2016 10:46 1.0 KiB 
4. Conditions of access and use
data URLhttp://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP3W34P/3N2UA78
zipped data URLhttp://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP3W34P/3N2UA78
Languageen
Target File204-215girolamo.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3EU2H28
8JMKD3MGPCW/3F3NU5S
8JMKD3MGPDW34P/42T2PKB
8JMKD3MGPDW34P/48F29JE
Citing Item Listsid.inpe.br/mtc-m16c/2020/07.22.00.33 2
sid.inpe.br/bibdigital/2013/10.01.23.43 2
sid.inpe.br/bibdigital@80/2006/04.07.15.50.13 2
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
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7. Description control
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