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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@80/2008/11.17.18.24
Last Update2009:03.30.20.43.26 (UTC) administrator
Metadata Repositorydpi.inpe.br/sbsr@80/2008/11.17.18.24.24
Metadata Last Update2022:07.07.03.53.22 (UTC) administrator
Secondary KeyINPE-15865-PRE/10475
ISBN978-85-17-00044-7
Citation KeyDutraScAbNeFrAn:2009:LaCoCl
TitleLand Cover Classification in Amazon using Alos Palsar Full Polarimetric Data
FormatDVD, On-line.
Year2009
Access Date2024, May 19
Secondary TypePRE CN
Number of Files1
Size1140 KiB
2. Context
Author1 Dutra, Luciano Vieira
2 Scofield, Graziela Balda
3 Aboud Neta, Sumaia Resegue
4 Negri, Rogério Galante
5 Freitas, Corina da Costa
6 Andrade, Daniel
Resume Identifier1 8JMKD3MGP5W/3C9JHMA
Group1 DPI-OBT-INPE-MCT-BR
2 DPI-OBT-INPE-MCT-BR
3 DPI-OBT-INPE-MCT-BR
4 DPI-OBT-INPE-MCT-BR
5 DPI-OBT-INPE-MCT-BR
6 DPI-OBT-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais
2 Instituto Nacional de Pesquisas Espaciais
3 Instituto Nacional de Pesquisas Espaciais
4 Instituto Nacional de Pesquisas Espaciais
5 Instituto Nacional de Pesquisas Espaciais
6 Instituto Nacional de Pesquisas Espaciais
Author e-Mail Address1 dutra@dpi.inpe.br
2 grazi@dpi.inpe.br
3 sumaia@dpi.inpe.br
4 rogerio@dpi.inpe.br
5 corina@dpi.inpe.br
6 daniel@dpi.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
Pages7259-7264
Book TitleAnais
Tertiary TypeArtigo
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2008-11-17 18:31:25 :: dutra@dpi.inpe.br -> lise@dpi.inpe.br ::
2008-12-01 11:58:00 :: lise@dpi.inpe.br -> sbsr ::
2008-12-15 19:52:11 :: sbsr -> lise@dpi.inpe.br ::
2009-01-19 12:53:43 :: lise@dpi.inpe.br -> sbsr ::
2009-02-19 15:39:56 :: sbsr -> administrator ::
2009-05-28 13:01:41 :: administrator -> lise@dpi.inpe.br ::
2009-06-16 13:14:57 :: lise@dpi.inpe.br -> marciana ::
2009-06-22 13:55:21 :: marciana -> erich@sid.inpe.br ::
2009-06-23 18:08:44 :: erich@sid.inpe.br -> administrator ::
2009-08-05 01:57:57 :: administrator -> erich@sid.inpe.br ::
2010-05-14 02:40:38 :: erich@sid.inpe.br -> marciana ::
2011-02-16 14:17:10 :: marciana -> administrator :: 2009
2022-07-07 03:53:22 :: administrator -> :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsland cover classification. polarimetry
segmentation
sar
radar Palsar
Alos
AbstractThe ALOS PALSAR sensor can provide full polarimetric SAR data (HH, HV and VV) but the full polarimetric mode is only available experimentally. Here, several supervised classifiers have been studied to determine how much the use of full polarized (HH, VV and HV, no phase information) PALSAR data information can improve, or not, the overall classification accuracy in comparison with the standard products, which, for PALSAR instrument, is the HH (like JERS-1) or the dual polarization product HH-HV. The study area, Tapajós National Forest at the south of Santarém City, in the Brazilian Amazon, Pará State, has being object of intensive scientific observation for more than 15 years. Several types of supervised classifiers are tested for having, as much as possible, an assessment rather independent of the classifier type. Initial results indicate that, no phase considered, the dual polarization product HH-HV is the better channels combination for mapping the set of tropical classes composed by the primary forest, secondary forest, bare soil, agriculture and degraded forest. Also, it was observed that one year regeneration areas are not discriminated in any PALSAR combination, which indicates the utility of maintaining the complementary use of optical images when possible, because, in the optical combination, the one year regeneration class still shows different from secondary forest. Region based classification, particularly one developed to take in account as much as possible the radar statistical behavior, generally presented better performance.
AreaSRE
TypeRadar: Pesquisa, Desenvolvimento e Aplicações
doc Directory Contentaccess
source Directory Content
dutraSBSR2009.pdf 17/11/2008 16:24 600.9 KiB 
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.18.24
zipped data URLhttp://urlib.net/zip/dpi.inpe.br/sbsr@80/2008/11.17.18.24
Languageen
Target File7259-7264.pdf
User Groupadministrator
dutra@dpi.inpe.br
lise@dpi.inpe.br
marciana
erich@sid.inpe.br
administrator
Reader Groupadministrator
dutra@dpi.inpe.br
Visibilityshown
5. Allied materials
Mirror Repositorydpi.inpe.br/marte1@80/2009/05.26.17.02
Next Higher Units8JMKD3MGPCW/3EQCCU5
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.53.50 1
Host Collectiondpi.inpe.br/netuno@1905/2006/07.17.20.18
dpi.inpe.br/banon/2003/12.10.19.30
6. Notes
SponsorCNPq, CAPES, JAXA
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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