1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | marte.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Repository | dpi.inpe.br/sbsr@80/2008/10.27.19.01 |
Last Update | 2009:03.23.19.09.46 (UTC) administrator |
Metadata Repository | dpi.inpe.br/sbsr@80/2008/10.27.19.01.28 |
Metadata Last Update | 2022:07.07.03.46.28 (UTC) administrator |
Secondary Key | INPE-15799-PRE/10409 |
ISBN | 978-85-17-00044-7 |
Citation Key | AdamiMorBarMarRud:2009:AvExMa |
Title | Avaliação da exatidão do mapeamento da cultura do café no Estado de Minas Gerais |
Format | DVD, On-line. |
Year | 2009 |
Access Date | 2024, May 15 |
Secondary Type | PRE CN |
Number of Files | 1 |
Size | 731 KiB |
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2. Context | |
Author | 1 Adami, Marcos 2 Moreira, Mauricio Alves 3 Barros, Marco Aurélio 4 Martins, Vagner Azarias 5 Rudorff, Bernardo Friedrich Theodor |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHT4 3 4 5 8JMKD3MGP5W/3C9JGKP |
Group | 1 DSR-OBT-INPE-MCT-BR 2 DSR-OBT-INPE-MCT-BR 3 4 DSR-OBT-INPE-MCT-BR 5 DSR-OBT-INPE-MCT-BR |
Affiliation | 1 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 Address | 1 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 |
Editor | Epiphanio, José Carlos Neves Galvão, Lênio Soares |
e-Mail Address | erich@sid.inpe.br |
Conference Name | Simpósio Brasileiro de Sensoriamento Remoto, 14 (SBSR) |
Conference Location | Natal |
Date | 25-30 abr. 2009 |
Publisher | Instituto Nacional de Pesquisas Espaciais (INPE) |
Publisher City | São José dos Campos |
Pages | 1-8 |
Book Title | Anais |
Tertiary Type | Artigo |
Organization | Instituto 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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | remote sensing sampling error matrix sensoriamento remoto amostragem matriz de erros |
Abstract | Accurate 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. |
Area | SRE |
Type | Agricultura |
Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Avaliação da exatidão... |
doc Directory Content | access |
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 Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/10.27.19.01 |
zipped data URL | http://urlib.net/zip/dpi.inpe.br/sbsr@80/2008/10.27.19.01 |
Language | pt |
Target File | 1-8.pdf |
User Group | adami@dsr.inpe.br marciana administrator erich@sid.inpe.br administrator |
Reader Group | adami@dsr.inpe.br administrator |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | dpi.inpe.br/marte1@80/2009/05.26.17.02 |
Next Higher Units | 8JMKD3MGPCW/3ER446E |
Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.56.26 2 sid.inpe.br/mtc-m21/2012/07.13.14.41 1 |
Host Collection | dpi.inpe.br/netuno@1905/2006/07.17.20.18 dpi.inpe.br/banon/2003/12.10.19.30 |
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6. Notes | |
Sponsor | CNPQ CONAB |
Mark | 1 |
Empty Fields | archivingpolicy 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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