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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3HG7NM9
Repositorysid.inpe.br/plutao/2014/12.01.14.09.43
Last Update2017:07.21.17.50.55 (UTC) marciana
Metadata Repositorysid.inpe.br/plutao/2014/12.01.14.09.44
Metadata Last Update2018:06.04.23.39.44 (UTC) administrator
DOI10.1080/2150704X.2014.967880
ISSN2150-704X
Labellattes: 1913003589198061 1 ShimabukuroBeucGrecAcha:2014:AsFoDe
Citation KeyShimabukuroBeucGrecAcha:2014:AsFoDe
TitleAssessment of forest degradation in Brazilian Amazon due to selective logging and fires using time series of fraction images derived from Landsat ETM+ images
Year2014
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size684 KiB
2. Context
Author1 Shimabukuro, Yosio Edemir
2 Beuchle, René
3 Grecchi, Rosana Cristina
4 Achard, Frédéric
Resume Identifier1 8JMKD3MGP5W/3C9JJCQ
Group1 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
JournalRemote Sensing Letters
Volume5
Number9
Pages773-782
Secondary MarkA2_GEOGRAFIA B2_INTERDISCIPLINAR B3_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS
History (UTC)2014-12-01 14:09:44 :: lattes -> administrator ::
2016-08-19 14:35:05 :: administrator -> marciana :: 2014
2017-07-21 17:50:55 :: marciana -> administrator :: 2014
2018-06-04 23:39:44 :: administrator -> marciana :: 2014
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractA method has been developed to identify and map areas of forest degradation caused by either selective logging or fires in tropical humid ecosystems. Our study area is located in the Mato Grosso state of Brazil, in a region known as Deforestation Arc. Eight consecutive Landsat Enhanced Thematic Mapper Plus (ETM+) images were available over this study area during the dry season of 2002 (from June to October). The proposed method is based on multi-temporal image segmentation and classification of a data set of soil and shade fraction images derived from Landsat ETM+ imagery. Areas of selectively logged forest are identified and mapped from the soil fraction images, whereas burned forest areas are identified and mapped from the shade fraction images combined with a map of deforestation happening during 2002. The main benefit of this approach is the capability to discriminate selectively logged forest from burned forest, which is a very important issue for estimating carbon emissions from forest degradation.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Assessment of forest...
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/8JMKD3MGP3W/3HG7NM9
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W/3HG7NM9
Languageen
User Grouplattes
marcelo.pazos@inpe.br
Reader Groupadministrator
marciana
Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units8JMKD3MGPCW/3ER446E
DisseminationWEBSCI; COMPENDEX; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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