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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3U43M7L
Repositóriosid.inpe.br/mtc-m21c/2019/09.18.16.24   (acesso restrito)
Última Atualização2019:09.18.16.24.41 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/09.18.16.24.41
Última Atualização dos Metadados2021:03.06.05.20.56 (UTC) administrator
DOI10.1186/s13021-019-0126-8
ISSN1750-0680
Chave de CitaçãoTejadaGörEspCanOme:2019:EvSpCo
TítuloEvaluating spatial coverage of data on the aboveground biomass in undisturbed forests in the Brazilian Amazon
Ano2019
MêsSept.
Data de Acesso08 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho3396 KiB
2. Contextualização
Autor1 Tejada, Graciela
2 Görgens, Eric Bastos
3 Espírito-Santo, Fernando Del Bon
4 Cantinho, Roberta Zecchini
5 Ometto, Jean Pierre Henry Balbaud
ORCID1 0000-0002-8389-0269
Grupo1 CST-CST-SESPG-INPE-MCTIC-GOV-BR
2
3
4
5 COCST-COCST-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2
3
4
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 gracielatejadap@gmail.com
2
3
4
5 jean.ometto@inpe.br
RevistaCarbon Balance and Management
Volume14
Número1
Páginase11
Nota SecundáriaB2_INTERDISCIPLINAR B2_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2019-09-18 16:25:35 :: simone -> administrator :: 2019
2020-01-06 11:42:22 :: administrator -> simone :: 2019
2020-01-06 16:30:55 :: simone -> administrator :: 2019
2021-03-06 05:20:56 :: administrator -> simone :: 2019
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveAmazon
Tropical rain forest
Remote sensing
Carbon
Aboveground biomass
REDD+
ResumoBackground: Brazilian Amazon forests contain a large stock of carbon that could be released into the atmosphere as a result of land use and cover change. To quantify the carbon stocks, Brazil has forest inventory plots from diferent sources, but they are unstandardized and not always available to the scientifc community. Considering the Brazil‑ ian Amazon extension, the use of remote sensing, combined with forest inventory plots, is one of the best options to estimate forest aboveground biomass (AGB). Nevertheless, the combination of limited forest inventory data and diferent remote sensing products has resulted in signifcant diferences in the spatial distribution of AGB estimates. This study evaluates the spatial coverage of AGB data (forest inventory plots, AGB maps and remote sensing products) in undisturbed forests in the Brazilian Amazon. Additionally, we analyze the interconnection between these data and AGB stakeholders producing the information. Specifcally, we provide the frst benchmark of the existing feld plots in terms of their size, frequency, and spatial distribution. Results: We synthesized the coverage of forest inventory plots, AGB maps and airborne light detection and rang‑ ing (LiDAR) transects of the Brazilian Amazon. Although several extensive forest inventories have been implemented, these AGB data cover a small fraction of this region (e.g., central Amazon remains largely uncovered). Although the use of new technology such as airborne LiDAR cover a signifcant extension of AGB surveys, these data and forest plots represent only 1% of the entire forest area of the Brazilian Amazon. Conclusions: Considering that several institutions involved in forest inventories of the Brazilian Amazon have difer‑ ent goals, protocols, and time frames for forest surveys, forest inventory data of the Brazilian Amazon remain unstand‑ ardized. Research funding agencies have a very important role in establishing a clear sharing policy to make data free and open as well as in harmonizing the collection procedure. Nevertheless, the use of old and new forest inventory plots combined with airborne LiDAR data and satellite images will likely reduce the uncertainty of the AGB distribu‑ tion of the Brazilian Amazon.
ÁreaCST
Arranjo 1urlib.net > COCST > Evaluating spatial coverage...
Arranjo 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CST > Evaluating spatial coverage...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvos13021-019-0126-8.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
8JMKD3MGPCW/449U4PL
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.19.20.40 1
sid.inpe.br/bibdigital/2021/03.06.05.18 2
DivulgaçãoPORTALCAPES
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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