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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/449D2U8
Repositorysid.inpe.br/mtc-m21c/2021/03.02.18.55   (restricted access)
Last Update2021:06.02.11.58.18 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2021/03.02.18.55.02
Metadata Last Update2022:04.03.22.28.16 (UTC) administrator
DOI10.1080/10106049.2019.1594394
ISSN1010-6049
Citation KeySilveiraCuGaWiArSc:2021:MoAbBi
TitleModelling aboveground biomass in forest remnants of the Brazilian Atlantic Forest using remote sensing, environmental and terrain-related data
Year2021
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1956 KiB
2. Context
Author1 Silveira, Eduarda Martiniano de Oliveira
2 Cunha, Luiza Imbroisi Ferraz
3 Galvão, Lênio Soares
4 Withney, Kieran Daniel
5 Arcebi Júnior, Fausto Weimar
6 Scolforo, José Roberto Soares
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHLF
Group1
2
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Universidade Federal de Lavras (UFLA)
2 Universidade Federal de Lavras (UFLA)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Lancaster University
5 Universidade Federal de Lavras (UFLA)
6 Universidade Federal de Lavras (UFLA)
Author e-Mail Address1 dudalavras@hotmail.com
2
3 lenio.galvao@inpe.br
JournalGeocarto International
Volume36
Number3
Pages281-298
Secondary MarkA2_GEOGRAFIA B1_INTERDISCIPLINAR B2_CIÊNCIAS_AMBIENTAIS
History (UTC)2021-03-02 18:55:02 :: simone -> administrator ::
2021-03-02 18:55:12 :: administrator -> simone :: 2021
2021-06-02 11:58:18 :: simone -> administrator :: 2021
2022-04-03 22:28:16 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAGB
random forest
spatial distribution
Rio Doce
AbstractThe Brazilian Atlantic Forest, one of the most threatened tropical regions in the world, exhibits high levels of terrestrial aboveground biomass (AGB). We propose a random forest approach to model, map and assess whether public lands provide protection for AGB in the Rio Doce watershed, one of the most important watercourses of the Atlantic Forest biome. We used 188 field plots and individual and hybrid features from remote sensing, environmental and terrain-related data. The hybrid model improved the AGB prediction by reducing the root mean square error to 33.43 Mg/ha and increasing the coefficient of determination (R2) to 0.57. The total estimated AGB was 178,967,656.73 Mg, ranging from 20.40 to 167.72 Mg/ha following the seasonal precipitation pattern and anthropogenic disturbance effects. Only 5.76% of the total AGB was located on public protected lands, totalling 10,305,501 Mg, while most of the remaining AGB were located on private properties.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Modelling aboveground biomass...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target Filesilveira_modelling.pdf
User Groupsimone
Reader Groupadministrator
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Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.22.23 4
sid.inpe.br/mtc-m21/2012/07.13.14.53.28 1
DisseminationWEBSCI
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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