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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/2002/11.18.16.47
Last Update2003:10.08.13.30.01 (UTC) administrator
Metadata Repositoryltid.inpe.br/sbsr/2002/11.18.16.47.36
Metadata Last Update2018:06.06.02.41.58 (UTC) administrator
Secondary KeyINPE-16166-PRE/10769
ISBN85-17-00017-X
Citation KeyRizziRudo:2003:ImLaEs
TitleImagens Landsat na estimativa da área plantada com soja em municípios do Rio Grande do Sul
FormatCD-ROM
Year2003
Access Date2024, May 08
Secondary TypePRE CN
Number of Files1
Size707 KiB
2. Context
Author1 Rizzi, Rodrigo
2 Rudorff, Bernardo Friedrich Theodor
Resume Identifier1
2 8JMKD3MGP5W/3C9JGKP
Group1 DSR-INPE-MCT-BR
2 DSR-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 rizzi@ltid.inpe.br
2 bernardo@ltid.inpe.br
EditorEpiphanio, José Carlos Neves
Fonseca, Leila Maria Garcia
e-Mail Addressrizzi@ltid.inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 11 (SBSR).
Conference LocationBelo Horizonte
Date5-10 abr. 2003
PublisherINPE
Publisher CitySão José dos Campos
Pages231-238
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais
History (UTC)2009-06-03 15:18:18 :: administrator -> vinicius ::
2009-06-30 14:04:30 :: vinicius -> erich@sid.inpe.br ::
2010-05-14 02:53:17 :: erich@sid.inpe.br -> marciana ::
2011-02-16 13:53:15 :: marciana -> administrator :: 2003
2018-06-06 02:41:58 :: administrator -> :: 2003
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordscrop area estimation
image classification
Landsat
soybean
AbstractThe objective of this work was to estimate soybean crop area in municipalities of Rio Grande do Sul State, Brazil, using Landsat images. Two scenes from path 223 row 79 and 80 were acquired at two different dates during the crop year of 2000/01. The soybean crop area was estimated using both digital and visual classification. The official crop area estimation at the municipality level was provided by the Systematic Survey Agricultural Production (LSPA) from the Brazilian Geography and Statistics Institute (IBGE) and used for comparison with the estimates obtained from the image classification. The overall result showed a very low difference between the LSPA estimation and the image classification. However, the large relative differences were observed in municipalities with very low soybean crop area, although the highest absolute differences were observed in municipalities with high soybean crop area (above 10.000 ha). Due to the acquisition of cloud free scenes during the most critical period to map soybean areas, this method proved to be very accurate.
AreaSRE
TypeAgronomia / Agriculture
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Imagens Landsat na...
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/ltid.inpe.br/sbsr/2002/11.18.16.47
zipped data URLhttp://urlib.net/zip/ltid.inpe.br/sbsr/2002/11.18.16.47
LanguageEnglish
Target File01_411.pdf
User Groupadministrator
erich@sid.inpe.br
Visibilityshown
Copy HolderSID/SCD
Read Permissionallow from all
5. Allied materials
Mirror Repositorydpi.inpe.br/marte@80/2007/10.17.19.59
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.41 1
Dissemination<E>
Host Collectiondpi.inpe.br/banon/2003/12.10.19.30
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyright creatorhistory descriptionlevel documentstage doi edition identifier issn label lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype url versiontype volume


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