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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositoryltid.inpe.br/sbsr/2004/11.11.13.52
Last Update2005:03.21.17.23.18 (UTC) administrator
Metadata Repositoryltid.inpe.br/sbsr/2004/11.11.13.52.07
Metadata Last Update2018:06.06.02.42.10 (UTC) administrator
Secondary KeyINPE-12659-PRE/7951
ISBN85-17-00018-8
Citation KeyVeronaShim:2005:ClCoVe
TitleClassificação da cobertura vegetal da região norte da FLONA do Tapajós utilizando a segmentação de imagens-fração
FormatCD-ROM, On-line.
Year2005
Access Date2024, May 19
Secondary TypePRE CN
Number of Files1
Size255 KiB
2. Context
Author1 Verona, Jane Delane
2 Shimabukuro, Yosio Edemir
Resume Identifier1
2 8JMKD3MGP5W/3C9JJCQ
Group1
2 DSR-INPE-MCT-BR
Affiliation1 ABE - Associação Brasileira de Ecólogos
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1
2 yosio@ltid.inpe.br
EditorEpiphanio, José Carlos Neves
Fonseca, Leila Maria Garcia
e-Mail Addressjane@primatel.com.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 12 (SBSR)
Conference LocationGoiânia
Date16-21 abr. 2005
PublisherINPE
Publisher CitySão José dos Campos
Pages1685-1690
Book TitleAnais
Tertiary TypeArtigos
OrganizationInstituto Nacional de Pesquisas Espaciais
History (UTC)2005-06-21 19:28:53 :: sbsr -> administrator ::
2009-06-03 15:57:07 :: administrator -> sbsr ::
2009-06-30 14:25:32 :: sbsr -> erich@sid.inpe.br ::
2010-05-14 02:45:49 :: erich@sid.inpe.br -> marciana ::
2011-02-16 13:59:14 :: marciana -> administrator :: 2005
2018-06-06 02:42:10 :: administrator -> :: 2005
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsmodelo linear de mistura espectral
classificação
vegetação
floresta Amazônica
linear spectral mixture model
classification
vegetation
Amazon forest
AbstractThis work has as main objective the mapping of the vegetable covering in the northern area of the Tapajós National Forest, located to the south of the city of SantarémPará, Brazil. For this purpose, over the 1999 image of sensor TM-Landsat-5 the following digital processings were accomplished: a linear spectral mixture model; segmentation and classification. The application of the linear mixture model implemented in the Georreferenced Information Processing System (SPRING/INPE), made possible the transformation of bands 3, 4 and 5 in image-fractions shade, soil and vegetation. On the shade image-fraction the segmentation technique was applied by growth of areas and later the Isoseg classifier was used to classify the segmented image. The methodology employed showed useful in the distinction among the areas of primary forest, deforested areas and areas in process of secondary regeneration. As end result we present a map of the types of vegetable covering of the studied area.
AreaSRE
TypeFloresta
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Classificação da cobertura...
doc Directory Contentaccess
source Directory Content
Classf_Verona-Shimabukuro_2004.doc 11/11/2004 13:52 87.0 KiB 
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.11.13.52
zipped data URLhttp://urlib.net/zip/ltid.inpe.br/sbsr/2004/11.11.13.52
Languagept
Target File1685.pdf
User Groupadministrator
erich@sid.inpe.br
Visibilityshown
5. Allied materials
Mirror Repositorydpi.inpe.br/marte@80/2007/10.17.19.59
Next Higher Units8JMKD3MGPCW/3ER446E
Host Collectiondpi.inpe.br/banon/2003/12.10.19.30
6. Notes
Mark1
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition identifier issn label lineage nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark url versiontype volume


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