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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Identifier8JMKD3MGPDW34P/4ADCA38
Repositorysid.inpe.br/mtc-m16c/2023/12.18.16.13
Last Update2023:12.18.16.13.42 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m16c/2023/12.18.16.13.43
Metadata Last Update2024:01.15.20.39.08 (UTC) administrator
ISSN2179-4847
Citation KeyBragaArAnDuCaDa:2023:StCaJa
TitleQuantifying selective logging intensity through airborne LiDAR data in an Amazon rainforest: study case at Jamari National Forest
FormatOn-line.
Year2023
Access Date2024, May 02
Secondary TypePRE CN
Number of Files2
Size7845 KiB
2. Context
Author1 Braga, Daniel
2 Aragão, Luiz Eduardo Oliveira e Cruz de
3 Anderson, Liana O.
4 Dutra, Débora J.
5 Cabral, Beatriz Figueiredo
6 Dalagnol, Ricardo
Group1
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Universidade Federal de Santa Catarina (UFSC)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
4 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
5 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
6 University of California
Author e-Mail Address1 danielalvezbraga@gmail.com
2 luiz.aragao@inpe.br
3 liana.anderson@gmail.com
4 ddutra.ambiental@gmail.com
5 beatriz.figueiredocabal@gmail.com
6 ricds@hotmail.com
EditorVinhas, Lubia (INPE)
Feitosa, Flavia F. (UFABC)
Conference NameSimpósio Brasileiro de Geoinformática, 24 (GEOINFO)
Conference LocationOn-line
Date04 a 06 dez. 2023
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Book TitleAnais
Tertiary TypeFull paper
History (UTC)2023-12-18 16:15:00 :: simone -> administrator :: 2023
2024-01-15 20:39:08 :: administrator -> simone :: 2023
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractAirborne LiDAR data represents one of the most accurate ways to estimate forest strucutre and carbon nowadays. This study aimed to estimate the intensity of selective logging activities in terms of density and volume of logged trees based on airborne LiDAR data in comparison to ground measurements on a forest concession area in the Brazilian Amazon, the Jamari National Forest. The results show a significant relationship between logging intensity and LiDAR intensity. This constituted an important step towards monitoring selective logging in the Amazon and areas under forest concession.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Quantifying selective logging...
Arrangement 2urlib.net > BDMCI > Fonds > GEOINFO > XXIV GEOINFO > Quantifying selective logging...
Arrangement 3urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > XXIV GEOINFO > Quantifying selective logging...
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/8JMKD3MGPDW34P/4ADCA38
zipped data URLhttp://urlib.net/zip/8JMKD3MGPDW34P/4ADCA38
Languageen
Target FileBraga_Quantifying.pdf
User Groupsimone
Visibilityshown
Copyright Licenseurlib.net/www/2012/11.12.15.19
Rightsholderoriginalauthor yes
5. Allied materials
Mirror Repositorydpi.inpe.br/banon-pc2@80/2006/07.04.20.21
Next Higher Units8JMKD3MGPCW/46KUATE
8JMKD3MGPDW34P/4ADE2M8
Citing Item Listsid.inpe.br/mtc-m16c/2023/12.19.01.40 3
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition holdercode isbn keywords label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume
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