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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKB5R7W/3Q63552
Repositoryurlib.net/www/2017/12.05.13.09.18
Last Update2017:12.21.15.29.09 (UTC) administrator
Metadata Repositoryurlib.net/www/2017/12.05.13.09.19
Metadata Last Update2018:06.04.23.26.39 (UTC) administrator
Labellattes: 8183796256304624 4 ShimabukuroAraiSantJorg:2017:MoDeFo
Citation KeyShimabukuroAraiSantJorg:2017:MoDeFo
TitleMonitoring deforestation and forest degradation using multi-temporal fraction images derived from landsat sensor data in the brazilian amazon
Year2017
Access Date2024, May 18
Secondary TypePRE CI
Number of Files1
Size560 KiB
2. Context
Author1 Shimabukuro, Yosio Edemir
2 Arai, Egidio
3 Santos, Erone Ghizoni dos
4 Jorge, Anderson
Resume Identifier1 8JMKD3MGP5W/3C9JJCQ
2 8JMKD3MGP5W/3C9JGUP
Group1 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
3 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
4 SER-SRE-SESPG-INPE-MCTIC-GOV-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)
Author e-Mail Address1 yosio.shimabukuro@inpe.br
2 egidio.arai@inpe.br
Conference NameInternational Geoscience and remote Sensing Symposium
Conference LocationFort Worth, Texas
Date23-28 July
Book TitleAnais
Tertiary TypeResumo Estendido
History (UTC)2017-12-05 13:09:13 :: lattes -> administrator ::
2017-12-06 05:17:29 :: administrator -> lattes :: 2017
2017-12-06 18:17:07 :: lattes -> administrator :: 2017
2018-06-04 23:26:39 :: administrator -> simone :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsForest degradation
Landsat
Remote Sensing
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Monitoring deforestation and...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Monitoring deforestation and...
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/J8LNKB5R7W/3Q63552
zipped data URLhttp://urlib.net/zip/J8LNKB5R7W/3Q63552
Languagept
Target Fileyosio_monitoring.pdf
User Grouplattes
self-uploading-INPE-MCTI-GOV-BR
Reader Groupadministrator
lattes
Visibilityshown
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
URL (untrusted data)http://www.igarss2017.org/
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
NotesInformações Adicionais: This work presents a semi-automated procedure for monitoring deforestation and forest degradation in the Brazilian Amazon using a multi-temporal dataset of Landsat TM images. Degradation in forest cover in the Brazilian Amazon region is mainly due to selective logging of intact/un-managed forests and to uncontrolled fires. For this study, part of a Landsat TM scene located in the State of Mato Grosso, in the ?deforestation arc? of the Brazilian Amazon was selected. Landsat TM images acquired in years 2005, 2006, 2007, 2008, 2009, 2010 and 2011 and one RapidEye image acquired in 2013 were used in this study. The results showed that the proposed approach can be used for monitoring deforestation and forest degradation activities by selective logging and fires. The current availability of high spatial resolution data such as Sentinel-2 is expected to allow improving the assessment of deforestation and forest degradation processes using the proposed method and, consequently, facilitating the implementation of actions of forest protection..
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7. Description control
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