1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21c.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34R/3TUDKNS |
Repository | sid.inpe.br/mtc-m21c/2019/09.02.11.55 (restricted access) |
Last Update | 2019:09.02.11.55.05 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21c/2019/09.02.11.55.05 |
Metadata Last Update | 2020:09.02.15.18.05 (UTC) administrator |
DOI | 10.1080/2150704X.2019.1619955 |
ISSN | 0143-1161 |
Citation Key | GhizoniSMGJGADO:2019:MuApEs |
Title | Multi-scale approach to estimating aboveground biomass in the Brazilian Amazon using Landsat and LiDAR data |
Year | 2019 |
Month | Nov. |
Access Date | 2024, May 24 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 1581 KiB |
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2. Context | |
Author | 1 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 Identifier | 1 2 8JMKD3MGP5W/3C9JJCQ 3 4 5 6 7 8JMKD3MGP5W/3C9JGUP 8 8JMKD3MGP5W/3C9JJAU |
ORCID | 1 2 0000-0002-1469-8433 3 4 5 6 7 8 9 0000-0002-4221-1039 |
Group | 1 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 |
Affiliation | 1 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 Address | 1 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 |
Journal | International Journal of Remote Sensing |
Volume | 40 |
Number | 22 |
Pages | 8635-8645 |
Secondary Mark | A1_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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Abstract | Forest 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. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Multi-scale approach to... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Multi-scale approach to... |
Arrangement 3 | urlib.net > Fonds > Produção anterior à 2021 > COCST > Multi-scale approach to... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
Target File | Multi scale approach to estimating aboveground biomass in the Brazilian Amazon using Landsat and LiDAR data.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft12 |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S 8JMKD3MGPCW/3F3T29H |
Citing Item List | sid.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 |
Dissemination | WEBSCI; PORTALCAPES; COMPENDEX; SCOPUS. |
Host Collection | urlib.net/www/2017/11.22.19.04 |
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6. Notes | |
Empty Fields | alternatejournal 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 |
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7. Description control | |
e-Mail (login) | simone |
update | |
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