Close

1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3TUDKNS
Repositorysid.inpe.br/mtc-m21c/2019/09.02.11.55   (restricted access)
Last Update2019:09.02.11.55.05 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2019/09.02.11.55.05
Metadata Last Update2020:09.02.15.18.05 (UTC) administrator
DOI10.1080/2150704X.2019.1619955
ISSN0143-1161
Citation KeyGhizoniSMGJGADO:2019:MuApEs
TitleMulti-scale approach to estimating aboveground biomass in the Brazilian Amazon using Landsat and LiDAR data
Year2019
MonthNov.
Access Date2024, May 24
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1581 KiB
2. Context
Author1 Ghizoni, Dos Santos Erone
2 Shimabukuro, Yosio Edemir
3 Moura, Yhasmin Mendes de
4 Gonçalves, Fábio Guimarães
5 Jorge, Anderson
6 Gasparini, Kaio Alan
7 Arai, Egidio
8 Duarte, Valdete
9 Ometto, Jean Pierre Henry Balbaud
Resume Identifier1
2 8JMKD3MGP5W/3C9JJCQ
3
4
5
6
7 8JMKD3MGP5W/3C9JGUP
8 8JMKD3MGP5W/3C9JJAU
ORCID1
2 0000-0002-1469-8433
3
4
5
6
7
8
9 0000-0002-4221-1039
Group1 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
3
4
5 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
6 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
7 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
8 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
9 COCST-COCST-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 University of Leicester
4 Canopy Remote Sensing Solutions
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Instituto Nacional de Pesquisas Espaciais (INPE)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
9 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 eronegsantos@gmail.com
2 yosio.shimabukuro@inpe.br
3
4
5
6 kaio.gasparaini@inpe.br
7 egidio.arai@inpe.br
8 valdete.duarte@inpe.br
9 jean.ometto@inpe.br
JournalInternational Journal of Remote Sensing
Volume40
Number22
Pages8635-8645
Secondary MarkA1_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_INTERDISCIPLINAR A2_GEOGRAFIA A2_ENGENHARIAS_IV A2_ENGENHARIAS_III A2_ENGENHARIAS_I A2_CIÊNCIAS_AMBIENTAIS A2_CIÊNCIA_DA_COMPUTAÇÃO B1_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B1_GEOCIÊNCIAS B1_ENGENHARIAS_II B1_CIÊNCIAS_AGRÁRIAS_I B1_BIODIVERSIDADE B2_SAÚDE_COLETIVA B2_ODONTOLOGIA B3_CIÊNCIAS_BIOLÓGICAS_I B3_BIOTECNOLOGIA B5_ASTRONOMIA_/_FÍSICA
History (UTC)2019-09-02 11:55:05 :: simone -> administrator ::
2019-09-02 11:56:10 :: administrator -> simone :: 2019
2019-09-02 11:56:13 :: simone -> administrator :: 2019
2020-09-02 15:18:05 :: administrator -> simone :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractForest degradation from either natural or anthropogenic drivers involves processes that change the capacity of the ecosystem to provide services. In Brazil, estimates of carbon emissions do not currently take into account emissions from forest degradation caused by fire or by selective logging. Here, we present a methodology to estimate aboveground biomass in forest degradedareas, that can be accounted to estimate carbon emissions. We explored a multi-scale and temporal approach involving Airborne Laser Scanning (ALS) and orbital images from Landsat 8 Operational Land Imager (OLI) sensor to estimate the aboveground biomass. Cross-validation results showed that 49% of the variation in biomass could be explained using this approach, with an estimation error 58 Mg ha(-1) (49.08%). Due to the difficulty in measuring biomass in tropical forests, the proposed methodology can be an alternative in future works to estimate aboveground biomass in order to improve the estimates of carbon emissions by the governmental organizations.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Multi-scale approach to...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Multi-scale approach to...
Arrangement 3urlib.net > Fonds > Produção anterior à 2021 > COCST > Multi-scale approach to...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 02/09/2019 08:55 1.0 KiB 
4. Conditions of access and use
Languageen
Target FileMulti scale approach to estimating aboveground biomass in the Brazilian Amazon using Landsat and LiDAR data.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/3F3T29H
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.15.01.20 6
sid.inpe.br/bibdigital/2013/10.19.20.40 4
sid.inpe.br/bibdigital/2013/09.13.21.11 4
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Description control
e-Mail (login)simone
update 


Close