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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/2004/11.21.16.02
Last Update2005:03.18.18.54.50 (UTC) administrator
Metadata Repositoryltid.inpe.br/sbsr/2004/11.21.16.02.07
Metadata Last Update2018:06.06.02.42.44 (UTC) administrator
Secondary KeyINPE-12586-PRE/7879
ISBN85-17-00018-8
Citation KeyRosaMoreAdam:2005:MeCoCr
TitleMetodologia computacional para criar um painel de amostra de área utilizando imagens de sensoriamento remoto e SIG
FormatCD-ROM, On-line.
Year2005
Access Date2024, May 14
Secondary TypePRE CN
Number of Files1
Size348 KiB
2. Context
Author1 Rosa, Viviane Gomes Cardoso
2 Moreira, Maurício Alves
3 Adami, Marcos
Resume Identifier1
2 8JMKD3MGP5W/3C9JHT4
Group1 DSR-INPE-MCT-BR
2 DSR-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Secretaria de Estado da Agricultura e do Abastecimento - PR
Author e-Mail Address1 vivian@ltid.inpe.br
2 mauricio@ltid.inpe.br
EditorEpiphanio, José Carlos Neves
Fonseca, Leila Maria Garcia
e-Mail Addressvivian@ltid.inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 12 (SBSR)
Conference LocationGoiânia
Date16-21 abr. 2005
PublisherINPE
Publisher CitySão José dos Campos
Pages261-268
Book TitleAnais
Tertiary TypeArtigos
OrganizationInstituto Nacional de Pesquisas Espaciais
History (UTC)2005-06-20 18:54:57 :: sbsr -> administrator ::
2009-06-03 16:02:31 :: administrator -> sbsr ::
2009-06-30 14:26:07 :: sbsr -> erich@sid.inpe.br ::
2010-05-14 02:46:50 :: erich@sid.inpe.br -> marciana ::
2011-02-16 14:00:07 :: marciana -> administrator :: 2005
2018-06-06 02:42:44 :: administrator -> :: 2005
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordssample area system
remote sensing image
crop area estimation
AbstractOne of the most tedious activities in crop area estimation using probabilistic sample methods is the construction of a sample panel which used to be elaborated through visual image interpretation and some manual activities prior to its implementation in a Geographic Information System (GIS). The objective of this work is to use a much more automated, computerized and straight forward procedure to construct a sample panel in the municipality of Cristais, Minas Gerais State, Brazil, to estimate coffee crop area using the direct expansion method. Results showed that the procedure was adequate to provide fast, objective and low cost coffee crop area estimation at municipality level. A difference of 5,8% in coffee crop area estimation between direct expansion method and personal communication from the institution responsible for official agricultural statistics was found indicating that the proposed method is efficient but can be improved.
AreaSRE
TypeAgricultura
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Metodologia computacional para...
doc Directory Contentaccess
source Directory Content
Viviane_SBSR_2005.doc 21/11/2004 16:02 527.0 KiB 
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.21.16.02
zipped data URLhttp://urlib.net/zip/ltid.inpe.br/sbsr/2004/11.21.16.02
LanguagePortuguês
Target File261.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
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.56.26 3
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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