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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@80/2006/11.15.20.26
Last Update2007:03.01.11.31.00 (UTC) administrator
Metadata Repositorydpi.inpe.br/sbsr@80/2006/11.15.20.26.15
Metadata Last Update2018:06.06.02.37.33 (UTC) administrator
Secondary KeyINPE-16528-PRE/11104
ISBN978-85-17-00031-7
Citation KeyShimabukuroRDSFAAL:2007:MaCoTe
TitleMapeamento da cobertura da terra do Estado de São Paulo utilizando imagens fração dos dados MODIS
FormatCD-ROM; On-line.
Year2007
Access Date2024, May 18
Secondary TypePRE CN
Number of Files1
Size563 KiB
2. Context
Author1 Shimabukuro, Yosio Edemir
2 Rudorff, Bernardo Friedrich Theodor
3 Duarte, Valdete
4 Sugawara, Luciana Miura
5 Freitas, Ramon Morais de
6 Arai, Egídio
7 Adami, Marcos
8 Lima, André
Resume Identifier1 8JMKD3MGP5W/3C9JJCQ
2 8JMKD3MGP5W/3C9JGKP
3 8JMKD3MGP5W/3C9JJAU
4
5
6 8JMKD3MGP5W/3C9JGUP
Group1 DSR-INPE-MCT-BR
2 DSR-INPE-MCT-BR
3 DSR-INPE-MCT-BR
4 DSR-INPE-MCT-BR
5 DSR-INPE-MCT-BR
6 DSR-INPE-MCT-BR
7 DSR-INPE-MCT-BR
8 DSR-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Instituto Nacional de Pesquisas Espaciais (INPE)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 yosio@dsr.inpe.br
2 bernardo@dsr.inpe.br
3 valdete@dsr.inpe.br
4 miura@dsr.inpe.br
5 ramon@dsr.inpe.br
6 egidio@dsr.inpe.br
7 adami@dsr.inpe.br
8 andre@dsr.inpe.br
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
Fonseca, Leila Maria Garcia
e-Mail Addressyosio@dsr.inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 13 (SBSR).
Conference LocationFlorianópolis
Date21-26 abr. 2007
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages1839-1845
Book TitleAnais
Tertiary TypeArtigo
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2006-11-15 20:26:15 :: yosio@dsr.inpe.br -> administrator ::
2006-11-24 13:18:43 :: administrator -> yosio@dsr.inpe.br ::
2006-11-24 13:26:58 :: yosio@dsr.inpe.br -> sbsr ::
2007-01-09 10:44:32 :: sbsr -> yosio@dsr.inpe.br ::
2007-01-12 21:53:27 :: yosio@dsr.inpe.br -> administrator ::
2007-01-18 13:01:09 :: administrator -> yosio@dsr.inpe.br ::
2007-01-18 16:16:12 :: yosio@dsr.inpe.br -> administrator ::
2007-01-19 11:45:45 :: administrator -> yosio@dsr.inpe.br ::
2007-01-19 11:46:39 :: yosio@dsr.inpe.br -> administrator ::
2007-05-09 16:17:21 :: administrator -> marciana ::
2007-07-24 18:52:48 :: marciana -> administrator ::
2008-02-13 16:27:00 :: administrator -> marciana ::
2009-06-30 14:32:21 :: marciana -> erich@sid.inpe.br ::
2010-05-14 02:43:28 :: erich@sid.inpe.br -> marciana ::
2011-02-16 14:06:21 :: marciana -> administrator :: 2007
2018-06-06 02:37:33 :: administrator -> :: 2007
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywords: MODIS
Linear Spectral Mixture Model
Classification
Landuse Mapping
MODIS
modelo linear de mistura espectral
classificação
mapeamento do uso da terra
AbstractThis paper shows a methodology for landcover mapping using MODIS (Moderate Resolution Imaging Spectroradiometer) data. The study area is located in São Paulo state southeast of Brazil. The daily surface reflectance product (MOD09), with 250 m of spatial resolution were used. Seven images of dry season were selected due to low cloud cover. The Linear Spectral Mixture Model was applied for each date resulting in the shade, soil and vegetation fractions images. The landcover mapping map was produced after on the segmentation based on region growth algorithm and ISOSEG classification. Post classification image edition was performed for improving map quality. The final map included seven classes: Forest, Reforestation, Restinga vegetation, crop land, open water, urban area and others. The landcover map was compared with official vegetation map produced by the Instituto Florestal de São Paulo. The map accuracy showed a good agreement with 0.76 kappa statistic. The result shows the potential of the methodology for landcover mapping in regional scales.
AreaSRE
TypeFloresta
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Mapeamento da cobertura...
doc Directory Contentaccess
source Directory Content
YosioEtAl_SaoPaulo_enviado.pdf 19/01/2007 09:45 455.6 KiB 
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.15.20.26
zipped data URLhttp://urlib.net/zip/dpi.inpe.br/sbsr@80/2006/11.15.20.26
Languagept
Target File1839-1845.pdf
User Groupadministrator
erich@sid.inpe.br
marciana
yosio@dsr.inpe.br
Visibilityshown
Copy HolderSID/SCD
Read Permissionallow from all
5. Allied materials
Mirror Repositorydpi.inpe.br/banon-pc2@80/2006/07.17.20.31
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.45.03 4
sid.inpe.br/mtc-m21/2012/07.13.14.41 2
Host Collectiondpi.inpe.br/banon/2003/12.10.19.30
6. Notes
Mark1
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyright creatorhistory descriptionlevel dissemination documentstage doi edition identifier issn label lineage nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark serieseditor shorttitle sponsor tertiarymark url versiontype volume


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