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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/Bn5Ui
Repositorysid.inpe.br/sergio/2004/03.05.15.24   (restricted access)
Last Update2004:03.05.03.00.00 (UTC) marciana
Metadata Repositorysid.inpe.br/sergio/2004/03.05.15.24.50
Metadata Last Update2018:06.05.00.40.49 (UTC) administrator
Secondary KeyINPE-10524-PRE/5999
Citation KeyFreitasSilvDutr:2002:AsOpRa
TitleAssessment of operational radar satellite for monitoring land cover change in Amazônia
Year2002
Access Date2024, May 19
Secondary TypePRE CI
Number of Files1
Size337 KiB
2. Context
Author1 Freitas, Corina da Costa
2 Silva Júnior, Lelio Walter P.
3 Dutra, Luciano Vieira
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHMA
Group1 DPI-INPE-MCT-BR
2 DSR-INPE-MCT-BR
3 DPI-INPE-MCT-BR
Conference NameInternational Geoscience and Remote Sensing Symposium, (IGARSS).
Conference LocationToronto
Date24-28 June 2002
PublisherINPE
Book TitleProceedings
History (UTC)2015-05-21 17:25:13 :: administrator -> marciana :: 2002
2016-08-26 13:46:35 :: marciana -> administrator :: 2002
2018-06-05 00:40:49 :: administrator -> marciana :: 2002
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsFeature extraction
Forestry
Geological surveys
Image analysis
Landforms
Iterative contextual mode
Kappa coefficient
Land cover change
Optical imagery
Progressive sequential feature selection
Radar satellite
Radar imaging
Forests
AbstractThe objective of this paper is to verify the viability of using existing radar satellite (ERS and RADARSAT), as an operational tool for monitoring land cover in Amazônia. It is well known that C band radar data is not adequate for land applications, but as cloud cover in Amazônia is a constant problem, particularly in certain areas, radar data can help, as complimentary information, for change monitoring. In this paper ERS and RADARSAT images are classified using texture measures, in several classes of land use, and then the adequacy of using these classes for change detection is analyzed. Progressive sequential feature selection, using Kappa coefficient of agreement as a selection criterion, chooses a subset of the texture layers that maximizes that coefficient. It was observed that even for the best feature set, the Kappa coefficient was considered too low and unsuitable to be used for change detection. However, it is shown that this coefficient progressively increases when classes are merged sequentially. When only two classes are considered, identified as forest/non-forest, the overall accuracy is higher than 85%, (per cent) ,which was considered adequate for change detection. The classifications of the 1992, 1993 and 1996 ERS1/2 images over the Tapajós National Forest, Brazil, were performed using the iterative contextual mode (ICM)classifier. Deforestation was detected for those points changing from forest in one year to non-forest in other year, with very good agreement with the results obtained with optical imagery sequence. Similar results were obtained using RADARSAT imagery for the year 96.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Assessment of operational...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Assessment of operational...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target File01026445.pdf
User Groupadministrator
Reader Groupadministrator
marciana
Visibilityshown
Copy HolderSID/SCD
Read Permissiondeny from all and allow from 150.163
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 1
Host Collectionsid.inpe.br/banon/2001/04.06.10.52
6. Notes
Empty Fieldsaffiliation archivingpolicy archivist callnumber contenttype copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor electronicmailaddress format isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
7. Description control
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