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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/4AC8AAG
Repositorysid.inpe.br/plutao/2023/12.11.14.46.44   (restricted access)
Last Update2024:01.04.18.18.53 (UTC) simone
Metadata Repositorysid.inpe.br/plutao/2023/12.11.14.46.45
Metadata Last Update2024:01.04.18.18.54 (UTC) simone
DOI10.3390/ECRS2023-15984
ISSN2673-4931
Labellattes: 8878442330474257 2 WiederkehrGamaBisp:2023:AsALDa
Citation KeyWiederkehrGamaBisp:2023:AsALDa
TitleAssessing ALOS-2/PALSAR-2 Data's Potential in Detecting Forest Volume Losses from Selective Logging in a Section of the Tapajós National Forest
Year2023
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size440 KiB
2. Context
Author1 Wiederkehr, Natalia Cristina
2 Gama, Fábio Furlan
3 Bispo, Polyana
Resume Identifier1
2 8JMKD3MGP5W/3C9JH3P
Group1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1
2 fabio.furlan@inpe.br
JournalEnvironmental Sciences Proceedings
Volume27
Pages1-6
History (UTC)2023-12-11 14:46:45 :: lattes -> administrator ::
2023-12-12 19:19:21 :: administrator -> lattes :: 2023
2023-12-13 11:50:15 :: lattes -> administrator :: 2023
2024-01-02 17:00:36 :: administrator -> simone :: 2023
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsALOS-2/PALSAR-2
Brazilian Amazon Rainforest
Selective Logging
Forest Volume Losses
AbstractThis study assesses ALOS-2/PALSAR-2 (ALOS2) polarimetric images for detecting forest volume losses due to selective logging in a region in the Brazilian Amazon. Two logging-intensive areas APU 2016 and APU 2017, were studied. ALOS2 imagery atributes, including backscatter and phase data, were analyzed for differences between logged and unlogged regions using Wilcoxon's nonparametric test at a 95% confidence level. The Radar Normalized Difference Vegetation Index proved effective in detecting selective logging-induced forest volume losses, with consistent results (p-value 0.003 for APU 2016 and 0.037 for APU 2017). These findings provide insights for monitoring and mitigating ecological impacts from logging in complex forest ecosystems.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Assessing ALOS-2/PALSAR-2 Data's...
Arrangement 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Assessing ALOS-2/PALSAR-2 Data's...
doc Directory Contentaccess
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agreement Directory Contentthere are no files
4. Conditions of access and use
Languagept
Target Filemanuscript.pdf
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Reader Groupadministrator
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Visibilityshown
Read Permissiondeny from all and allow from 150.163
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5. Allied materials
Next Higher Units8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 3
sid.inpe.br/mtc-m21/2012/07.13.14.45.57 1
DisseminationPORTALCAPES
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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