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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/2004/11.19.14.09
Last Update2005:03.18.18.50.06 (UTC) administrator
Metadata Repositoryltid.inpe.br/sbsr/2004/11.19.14.09.10
Metadata Last Update2018:06.06.02.42.19 (UTC) administrator
Secondary KeyINPE-12583-PRE/7876
ISBN85-17-00018-8
Citation KeyRizziRudo:2005:EsCaRi
TitleEstimativa da produtividade de soja por meio de um modelo agrometeorológico-espectral: estudo de caso no Rio Grande do Sul
FormatCD-ROM, On-line.
Year2005
Access Date2024, May 08
Secondary TypePRE CN
Number of Files1
Size988 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@dsr.inpe.br
2 bernardo@dsr.inpe.br
EditorEpiphanio, José Carlos Neves
Fonseca, Leila Maria Garcia
e-Mail Addressrizzi@dsr.inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 12 (SBSR)
Conference LocationGoiânia
Date16-21 abr. 2005
PublisherINPE
Publisher CitySão José dos Campos
Pages237-244
Book TitleAnais
Tertiary TypeArtigos
OrganizationInstituto Nacional de Pesquisas Espaciais
History (UTC)2005-06-20 18:39:23 :: sbsr -> administrator ::
2009-06-03 15:58:52 :: administrator -> sbsr ::
2009-06-30 14:25:45 :: sbsr -> erich@sid.inpe.br ::
2010-05-14 02:46:10 :: erich@sid.inpe.br -> marciana ::
2011-02-16 13:59:32 :: marciana -> administrator :: 2005
2018-06-06 02:42:19 :: administrator -> :: 2005
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsGrain yield estimate
soybean
remote sensing
MODIS
NDVI
estimativa de produtividade
soja
sensoriamento remoto
AbstractAn agrometeorological crop yield model, integrated in a Geographic Information System, was used to estimate soybean grain yield in Rio Grande do Sul State, Brazil, for the crop year of 2000/01. Two approaches were used for the model: a) agrometeorological (A) model with leaf area index (LAI) estimated from fixed literature values for each growth stage and; b) agrometeorological-spectral (A-E) model with LAI estimated from biweekly MODIS/NDVI images. Both models provided similar results in terms of the State mean crop yield and also compared well with the official statistic from the Brazilian Institute of Geography and Statistics (IBGE). However, the A-E model provided much better local estimates due to the high spatial resolution of LAI data estimated from MODIS/NDVI images.
AreaSRE
TypeAgricultura
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Estimativa da produtividade...
doc Directory Contentaccess
source Directory Content
Produtividade SBSR.doc 19/11/2004 14:09 1.6 MiB
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.19.14.09
zipped data URLhttp://urlib.net/zip/ltid.inpe.br/sbsr/2004/11.19.14.09
LanguagePortuguês
Target File237.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-m21/2012/07.13.14.41 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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