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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorydpi.inpe.br/sbsr@80/2008/10.27.19.01
Last Update2009:03.23.19.09.46 (UTC) administrator
Metadata Repositorydpi.inpe.br/sbsr@80/2008/10.27.19.01.28
Metadata Last Update2022:07.07.03.46.28 (UTC) administrator
Secondary KeyINPE-15799-PRE/10409
ISBN978-85-17-00044-7
Citation KeyAdamiMorBarMarRud:2009:AvExMa
TitleAvaliação da exatidão do mapeamento da cultura do café no Estado de Minas Gerais
FormatDVD, On-line.
Year2009
Access Date2024, May 15
Secondary TypePRE CN
Number of Files1
Size731 KiB
2. Context
Author1 Adami, Marcos
2 Moreira, Mauricio Alves
3 Barros, Marco Aurélio
4 Martins, Vagner Azarias
5 Rudorff, Bernardo Friedrich Theodor
Resume Identifier1
2 8JMKD3MGP5W/3C9JHT4
3
4
5 8JMKD3MGP5W/3C9JGKP
Group1 DSR-OBT-INPE-MCT-BR
2 DSR-OBT-INPE-MCT-BR
3
4 DSR-OBT-INPE-MCT-BR
5 DSR-OBT-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 GEOAMBIENTE Sensoriamento Remoto Ltda
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 adami@dsr.inpe.br
2 mauricio@dsr.inpe.br
3 marcoaurelio.barros@geoambiente.com.br
4 vagner@dsr.inpe.br
5 bernardo@dsr.inpe.br
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
e-Mail Addresserich@sid.inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 14 (SBSR)
Conference LocationNatal
Date25-30 abr. 2009
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages1-8
Book TitleAnais
Tertiary TypeArtigo
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2008-11-19 11:40:59 :: adami@dsr.inpe.br -> sbsr ::
2009-02-19 17:04:36 :: sbsr -> administrator ::
2009-03-23 15:38:31 :: administrator -> adami@dsr.inpe.br ::
2009-03-25 20:48:22 :: adami@dsr.inpe.br -> administrator ::
2009-04-20 16:22:03 :: administrator -> adami@dsr.inpe.br ::
2009-04-22 01:14:41 :: adami@dsr.inpe.br -> sbsr ::
2009-05-21 15:58:52 :: sbsr -> administrator ::
2009-06-09 19:31:34 :: administrator -> marciana ::
2009-06-22 13:55:07 :: marciana -> erich@sid.inpe.br ::
2009-06-23 14:30:47 :: erich@sid.inpe.br -> administrator ::
2009-08-05 01:49:48 :: administrator -> erich@sid.inpe.br ::
2010-05-14 02:40:23 :: erich@sid.inpe.br -> marciana ::
2011-02-16 14:16:51 :: marciana -> administrator :: 2009
2022-07-07 03:46:28 :: administrator -> :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsremote sensing
sampling
error matrix
sensoriamento remoto
amostragem
matriz de erros
AbstractAccurate and updated agricultural statistics on coffee crop area estimation, based on an objective method, is not available. Remote sensing images are an important source of information to estimate crop area, especially when crop identification procedure is carried out in an effective way. The objective of the present work is to evaluate a coffee crop map obtained from remote sensing images in the state of Minas Gerais. In the adopted method the samples were randomly selected within strata obtained in a two stage stratification. In the first stage five strata were obtained based on both percent of coffee area and regional crop management characteristics. In the second stage the strata were divided into areas with and without coffee crop. For each stratum 52 samples were randomly selected. Prior to the field work the samples were visually identified on both high spatial resolution images available in Google Earth and recent Landsat images used to perform the map. Several samples could be clearly identified as coffee or non-coffee reducing drastically the field work. Confusion matrix was used to provide the global accuracy index, the consumer accuracy and the producer accuracy for each stratum. Overall mapping accuracy for strata 1, 2, 3, 4 and 5 were 99%, 90%, 95%, 86% and 83%, respectively. Global mapping accuracy for Minas Gerais was 95%. It was observed that the mapping accuracy is related to: a) regional vegetation that may cause confusion with coffee; b) cultural practices; c) crop management; and d) relief.
AreaSRE
TypeAgricultura
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Avaliação da exatidão...
doc Directory Contentaccess
source Directory Content
1-8.pdf 23/03/2009 16:09 730.9 KiB 
sbsr_av_mapeamento_café_mg.pdf 19/11/2008 09:40 168.7 KiB 
sbsr_av_mapeamento_café_mg.pdf 19/11/2008 09:40 168.7 KiB 
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/10.27.19.01
zipped data URLhttp://urlib.net/zip/dpi.inpe.br/sbsr@80/2008/10.27.19.01
Languagept
Target File1-8.pdf
User Groupadami@dsr.inpe.br
marciana
administrator
erich@sid.inpe.br
administrator
Reader Groupadami@dsr.inpe.br
administrator
Visibilityshown
5. Allied materials
Mirror Repositorydpi.inpe.br/marte1@80/2009/05.26.17.02
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.56.26 2
sid.inpe.br/mtc-m21/2012/07.13.14.41 1
Host Collectiondpi.inpe.br/netuno@1905/2006/07.17.20.18
dpi.inpe.br/banon/2003/12.10.19.30
6. Notes
SponsorCNPQ
CONAB
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 readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor shorttitle tertiarymark url versiontype volume


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