| 1. Identificação | ||||
| Tipo de Referência | Artigo em Revista Científica (Journal Article) | |||
| Site | mtc-m21b.sid.inpe.br | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identificador | 8JMKD3MGP3W34P/3NNKHEP | |||
| Repositório | sid.inpe.br/mtc-m21b/2017/04.19.13.29 | |||
| Última Atualização | 2017:04.19.13.29.08 (UTC) administrator | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21b/2017/04.19.13.29.08 | |||
| Última Atualização dos Metadados | 2018:06.04.02.27.24 (UTC) administrator | |||
| DOI | 10.3390/rs9010047 | |||
| ISSN | 2072-4292 | |||
| Chave de Citação | GonçalvesTLAWBSG:2017:FiMeEr | |||
| Título | Estimating aboveground biomass in tropical forests: Field methods and error analysis for the calibration of remote sensing observations  | |||
| Ano | 2017 | |||
| Data de Acesso | 12 maio 2024 | |||
| Tipo de Trabalho | journal article | |||
| Tipo Secundário | PRE PI | |||
| Número de Arquivos | 1 | |||
| Tamanho | 2868 KiB | |||
| 2. Contextualização | ||||
| Autor | 1 Gonçalves, Fabio 2 Treuhaft, Robert 3 Law, Beverly 4 Almeida, André 5 Walker, Wayne 6 Baccini, Alessandro 7 Santos, João Roberto dos 8 Graça, Paulo | |||
| Identificador de Curriculo | 1 2 3 4 5 6 7 8JMKD3MGP5W/3C9JHF4 | |||
| Grupo | 1 2 3 4 5 6 7 DIDSR-CGOBT-INPE-MCTIC-GOV-BR | |||
| Afiliação | 1 Canopy Remote Sensing Solutions 2 California Institute of Technology 3 Oregon State University 4 Universidade Federal de Sergipe (UFSE) 5 Woods Hole Research Center 6 Woods Hole Research Center 7 Instituto Nacional de Pesquisas Espaciais (INPE) 8 Instituto Nacional de Pesquisas da Amazônia (INPA) | |||
| Endereço de e-Mail do Autor | 1 fabio@canopyrss.tech 2 robert.n.treuhaft@jpl.nasa.gov 3 bev.law@oregonstate.edu 4 andre.almeida@ufs.br 5 wwalker@whrc.org 6 abaccini@whrc.org 7 joao.roberto@inpe.br 8 pmlag@inpa.gov.br | |||
| Revista | Remote Sensing | |||
| Volume | 9 | |||
| Número | 1 | |||
| Nota Secundária | B3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I | |||
| Histórico (UTC) | 2017-04-19 13:29:08 :: simone -> administrator :: 2017-04-19 13:29:08 :: administrator -> simone :: 2017 2017-04-19 13:31:29 :: simone -> administrator :: 2017 2018-06-04 02:27:24 :: administrator -> simone :: 2017 | |||
| 3. Conteúdo e estrutura | ||||
| É a matriz ou uma cópia? | é a matriz | |||
| Estágio do Conteúdo | concluido | |||
| Transferível | 1 | |||
| Tipo do Conteúdo | External Contribution | |||
| Tipo de Versão | publisher | |||
| Palavras-Chave | Allometry Amazon Error propagation Forest inventory ICESat/GLAS Uncertainty | |||
| Resumo | Mapping and monitoring of forest carbon stocks across large areas in the tropics will necessarily rely on remote sensing approaches, which in turn depend on field estimates of biomass for calibration and validation purposes. Here, we used field plot data collected in a tropical moist forest in the central Amazon to gain a better understanding of the uncertainty associated with plot-level biomass estimates obtained specifically for the calibration of remote sensing measurements. In addition to accounting for sources of error that would be normally expected in conventional biomass estimates (e.g., measurement and allometric errors), we examined two sources of uncertainty that are specific to the calibration process and should be taken into account in most remote sensing studies: the error resulting from spatial disagreement between field and remote sensing measurements (i.e., co-location error), and the error introduced when accounting for temporal differences in data acquisition. We found that the overall uncertainty in the field biomass was typically 25% for both secondary and primary forests, but ranged from 16 to 53%. Co-location and temporal errors accounted for a large fraction of the total variance (<65%) and were identified as important targets for reducing uncertainty in studies relating tropical forest biomass to remotely sensed data. Although measurement and allometric errors were relatively unimportant when considered alone, combined they accounted for roughly 30% of the total variance on average and should not be ignored. Our results suggest that a thorough understanding of the sources of error associated with field-measured plot-level biomass estimates in tropical forests is critical to determine confidence in remote sensing estimates of carbon stocks and fluxes, and to develop strategies for reducing the overall uncertainty of remote sensing approaches. | |||
| Área | SRE | |||
| Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Estimating aboveground biomass... | |||
| Conteúdo da Pasta doc | acessar | |||
| Conteúdo da Pasta source | não têm arquivos | |||
| Conteúdo da Pasta agreement |
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| 4. Condições de acesso e uso | ||||
| URL dos dados | http://urlib.net/ibi/8JMKD3MGP3W34P/3NNKHEP | |||
| URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP3W34P/3NNKHEP | |||
| Idioma | en | |||
| Arquivo Alvo | goncalves_estimating.pdf | |||
| Grupo de Usuários | simone | |||
| Grupo de Leitores | administrator simone | |||
| Visibilidade | shown | |||
| Política de Arquivamento | allowpublisher allowfinaldraft | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ER446E | |||
| Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.14.51.02 4 | |||
| Divulgação | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. | |||
| Acervo Hospedeiro | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 | |||
| 6. Notas | ||||
| Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository month nextedition notes orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||