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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m12.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZ3ukuKE/BoBUH
Repositorysid.inpe.br/sergio/2004/03.08.08.57   (restricted access)
Last Update2004:03.08.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/sergio/2004/03.08.08.57.31
Metadata Last Update2022:08.22.23.12.53 (UTC) administrator
Secondary KeyINPE-9044-PRE/4720
DOI10.1109/IGARSS.2002.1025758
Labelself-archiving-INPE-MCTIC-GOV-BR
Citation KeySantosArDuFrMuGa:2002:EsBaAr
TitleEstimation of basal area from Amazon tropical rain forest using airborne P-band SAR data
Year2002
Access Date2024, May 19
Secondary TypePRE CI
Number of Files1
Size447 KiB
2. Context
Author1 Santos, João Roberto dos
2 Araujo, Luciana Spinelli de
3 Dutra, Luciano Vieira
4 Freitas, Corina da Costa
5 Mura, José Cláudio
6 Gama, Fábio Furlan
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHMA
Group1 DSR-INPE-MCT-BR
2 DPI-INPE-MCT-BR
3 DSR-INPE-MCT-BR
4 DPI-INPE-MCT-BR
5 DPI-INPE-MCT-BR
6 DPI-INPE-MCT-BR
Conference NameInternational Geoscience and Remote Sensing Symposium, (IGARSS).
Conference LocationToronto
Date24-28 June 2002
PublisherIEEE
Publisher CityNEW YORK
Pages1008-1010
Book TitleProceedings
History (UTC)2015-05-21 17:25:14 :: administrator -> marciana :: 2002
2016-08-30 12:38:20 :: marciana -> administrator :: 2002
2018-11-27 01:42:48 :: administrator -> marciana :: 2002
2022-03-11 17:16:12 :: marciana -> simone :: 2002
2022-03-11 17:16:22 :: simone -> administrator :: 2002
2022-08-22 23:12:53 :: administrator -> simone :: 2002
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsForestry
Image analysis
Markov processes
Mathematical models
Polarimeters
Radar imaging
Regression analysis
Synthetic aperture radar
Tropics
Amazon tropical rainforest
Polarimetric images
AbstractThe objective of this study is to show the capacity of P-band polarimetric images to define the space of attributes of primary forest and secondary succession, through the analysis of the relation among backscatter and basal area data. To ensure that differentlandscapes of Amazon upland forest are represented, a test-site located in the Tapajós region was selected. Statistical regression model was used to verify the relation between basal area values (37plots)and backscatter data derived from PHH, PHV and PVV images. An analysis of the spatial configuration of backscatter values for primary forest and secondary succession is made, considering the intrinsic variations of these formations in terms of biometric parameters. For this thematic stratification, a contextual Markovian classification technique (ICM)was used in polarimetric P-band images, to delineate primary forest and regeneration areas, in association with basal area intervals. The advance that was reached with the treatment of P-band data could improve the regional monitoring process of the land cover change, a process whose speed was accelerated as a result of human action in the Amazon during the last two decades.
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4. Conditions of access and use
Languageen
Target File01025758.pdf
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Reader Groupadministrator
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Visibilityshown
Rightsholderoriginalauthor no holderibi 8JMKD3MGPCW/3DT298S
Copy HolderSID/SCD
Read Permissiondeny from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.53.50 5
Host Collectionsid.inpe.br/banon/2001/04.06.10.52
6. Notes
Empty Fieldsaffiliation archivingpolicy archivist callnumber copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor electronicmailaddress format isbn issn lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume
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