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1. Identity statement
Reference TypeReport
Sitemtc-m12.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZ3r59YD6/GNo9i
Repositorysid.inpe.br/iris@1912/2005/07.18.21.40
Last Update2017:04.24.16.13.23 (UTC) marcelo.pazos@inpe.br
Metadata Repositorysid.inpe.br/iris@1912/2005/07.18.21.40.14
Metadata Last Update2019:02.04.13.03.29 (UTC) administrator
Report NumberINPE-1889-RPE/232
Label247
Citation KeyChen:1980:PrClMa
TitlePrecisão de classificação do mapa de distribuição de culturas, obtido a partir de imagens LANDSAT
Year1980
Access Date2025, Aug. 31
TypeRPQ
Secondary TypeRPE
Number of Pages7
Number of Files1
Size197 KiB
2. Context
AuthorChen, Sherry Chou
GroupDSR-INPE-BR
AffiliationInstituto Nacional de Pesquisas Espaciais (INPE)
e-Mail Addressmarcelo.pazos@inpe.br
InstitutionINPE
CitySao Jose dos Campos
History (UTC)2005-07-18 21:40:14 :: administrator -> jefferson ::
2010-07-07 18:42:53 :: jefferson -> administrator ::
2013-09-20 19:54:00 :: administrator -> marciana :: 1980
2015-03-13 14:37:52 :: marciana -> administrator :: 1980
2016-08-24 03:45:13 :: administrator -> marciana :: 1980
2017-02-09 12:35:22 :: marciana -> administrator :: 1980
2017-04-24 14:04:30 :: administrator -> marciana :: 1980
2017-04-24 14:06:11 :: marciana -> marcelo.pazos@inpe.br :: 1980
2017-04-24 16:14:05 :: marcelo.pazos@inpe.br -> administrator :: 1980
2019-02-04 13:03:29 :: administrator -> simone :: 1980
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsprecisão de classificação
culturas
imagens LANDSAT
classification accuracy
crop
LANDSAT images
AbstractA precisão de classificação do mapeamento de distribuição de culturas, obtido através de imagens LANDSAT, deve ser demonstrado para alcançar uma aceitação mais ampla entre os usuários. Neste trabalho é apresentada uma abordagem estatística para se verificar a precisão de classificação do mapa de distribuição de culturas. É apresentado, também, um método para avaliar a precisão do mapeamento de cana-de-açúcar do Estado de São Paulo, obtido através de imagens LANDSAT. ABSTRACT: The precise classification of crop distribution mapping, obtained through LANDSAT images, must be demonstrated in order to reach a wider acceptance among users. In this work we present a statistical approach to verify the accuracy of classification of the map of crop distribution. A method was also presented to evaluate the accuracy of the mapping of sugarcane in the State of São Paulo, obtained through LANDSAT images.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Precisão de classificação...
doc Directory Contentaccess
source Directory Contentaccess
agreement Directory Content
LISTA PRODUCAOCIENTIFICA SHERRY CHOU CHEN.pdf 09/02/2017 10:23 13.0 KiB 
TERMO DE DEPOSITO ASSINADO SHERRY CHOUCHEN PRODUCAO.pdf 09/02/2017 10:23 1.3 MiB
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZ3r59YD6/GNo9i
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZ3r59YD6/GNo9i
Languagept
Target Filepublicacao.pdf
User Groupadministrator
marcelo.pazos@inpe.br
marciana
Reader Groupadministrator
marcelo.pazos@inpe.br
marciana
Visibilityshown
Copyright Licenseurlib.net/www/2012/11.12.15.10
Copy HolderSID/SCD
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/bibdigital/2013/09.13.21.11 - 2
Host Collectionsid.inpe.br/banon/2001/04.06.10.52
6. Notes
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7. Description control
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