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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier3ERPFQRTRW34M/3E7GDNB
Repositorydpi.inpe.br/marte2/2013/05.28.23.31.48
Last Update2013:05.28.23.31.48 (UTC) administrator
Metadata Repositorydpi.inpe.br/marte2/2013/05.28.23.31.49
Metadata Last Update2018:06.06.03.32.39 (UTC) administrator
ISBN978-85-17-00066-9 (Internet)
978-85-17-00065-2 (DVD)
Label498
Citation KeyShimabukuroVeroBernPere:2013:AvQuPr
TitleAvaliação da qualidade do produto Globcover para o Estado do Mato Grosso, Brasil, por meio de imagens do Google Earth e séries temporais de índices de vegetação derivados de imagens MODIS
FormatDVD, Internet.
Year2013
Access Date2024, May 18
Secondary TypePRE CN
Number of Files1
Size814 KiB
2. Context
Author1 Shimabukuro, Yosio Edemir
2 Verona, Jane Delane
3 Bernardes, Tiago
4 Pereira, Gabriel
Resume Identifier1 8JMKD3MGP5W/3C9JJCQ
Group1 DSR-OBT-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
3
4 SER-SRE-SPG-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 yosio@dsr.inpe.br
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 16 (SBSR)
Conference LocationFoz do Iguaçu
Date13-18 abr. 2013
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages3486-3493
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2013-05-28 23:31:49 :: banon -> administrator ::
2018-06-06 03:32:39 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractGlobcover is a global land cover map derived from an automated processing chain of 300m resolution MERIS time series and is provided as a major reference for applications such as climate and ecological modeling. The objective of this study was to validate the Globcover product for the State of Mato Grosso Brazil using Google earth images and temporal profiles of MODIS derived vegetation indices as a support to validate the landcover classes. The Vegetation Map Types produced by Radam Brasil Projects was used as an auxiliary information to check the mapping product. The procedure was divided into 4 steps: i) elaborating a random set of points for each class to validate the map; ii) translating landcover classes described in the Globcover Map into landcover classes as described in Radam Brasil Project; iii) extract temporal profiles of vegetation indices concerning the main landcover classes in the State of Mato Grosso iv) interpreting Google Earth images (reference data) to check the accuracy of Globcover classes. For each of the 16 classes evaluated it was sorted random samples totaling 108 points for the whole study area. Temporal profiles of Enhanced Vegetation Index (EVI 2) were selected from the Visualization of MODIS time-series for land use and landcover change analyses tool developed at National Institute for Space Research within the concept of a Virtual Laboratory of Remote Sensing in order to describe the main land use classes. These profiles can be used to describe the behavior of mapped classes along the period previous the mapping (2000 to 2011) and give support for interpretation of the high resolution imagery by its seasonal dynamics in future mappings. The confusion matrix resulted a kappa index of 0.43 and an overall accuracy of 0.47. These values are lower than those reported on the Globcover Products Description and Validation Report. The six main classes presented about 95% of the area of Mato Grosso State. Class 14 presented the larger area with about 50% of the total mapped and producer and user accuracies of 0.67 and 0.75, respectively. Temporal profiles of EVI showed that the classes describing single land cover types are properly defined since there is a well defined pattern of EVI profile. The classes describing a mixture of land cover types, showed similar temporal profiles of EVI and could not be well discriminated.
AreaSRE
TypeFloresta e Vegetação
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/3ERPFQRTRW34M/3E7GDNB
zipped data URLhttp://urlib.net/zip/3ERPFQRTRW34M/3E7GDNB
Languagept
Target Filep0498.pdf
User Groupadministrator
banon
Visibilityshown
5. Allied materials
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units3ERPFQRTRW34M/3E7G88S
8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Citing Item Listdpi.inpe.br/marte2/2013/05.28.22.25 3
sid.inpe.br/mtc-m21/2012/07.13.15.02.10 1
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition issn keywords lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype url versiontype volume
7. Description control
e-Mail (login)marcelo.pazos@inpe.br
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