1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21c.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34R/3S29ARB |
Repositório | sid.inpe.br/mtc-m21c/2018/10.10.12.15 |
Última Atualização | 2018:10.10.12.15.30 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21c/2018/10.10.12.15.30 |
Última Atualização dos Metadados | 2020:12.13.19.09.53 (UTC) administrator |
DOI | 10.3390/rs10091355 |
ISSN | 2072-4292 |
Chave de Citação | PereiraFuNoSaLiSi:2018:MuFuSA |
Título | Multifrequency and Full-Polarimetric SAR assessment for estimating above ground biomass and leaf area index in the Amazon Várzea Wetland |
Ano | 2018 |
Mês | Sept. |
Data de Acesso | 08 maio 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 7029 KiB |
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2. Contextualização | |
Autor | 1 Pereira, Luciana O. 2 Furtado, Luiz F. A. 3 Novo, Evlyn Márcia Leão de Moraes 4 Sant'Anna, Sidnei João Siqueira 5 Liesenberg, Veraldo 6 Silva, Thiago S. F. |
Identificador de Curriculo | 1 2 3 8JMKD3MGP5W/3C9JH39 4 8JMKD3MGP5W/3C9JJ8N |
ORCID | 1 2 3 0000-0002-1223-9276 4 5 0000-0003-0564-7818 6 0000-0001-8174-0489 |
Grupo | 1 2 3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 4 DIDPI-CGOBT-INPE-MCTIC-GOV-BR |
Afiliação | 1 University of Exeter 2 Universidade Federal do Rio de Janeiro (UFRJ) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Universidade Federal de Santa Catarina (UFSC) 6 Universidade Estadual Paulista (UNESP) |
Endereço de e-Mail do Autor | 1 lp469@exeter.ac.uk 2 chefechefe@gmail.com 3 evlyn.novo@inpe.br 4 sidnei@dpi.inpe.br 5 veraldo@gmail.com 6 thiago.sf.silva@unesp.br |
Revista | Remote Sensing |
Volume | 10 |
Número | 9 |
Páginas | e1355 |
Nota Secundária | B3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I |
Histórico (UTC) | 2018-10-10 12:15:30 :: simone -> administrator :: 2018-10-10 12:15:31 :: administrator -> simone :: 2018 2018-10-10 12:16:34 :: simone -> administrator :: 2018 2020-12-13 19:09:53 :: administrator -> simone :: 2018 |
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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 | SAR data Above Ground Biomass (AGB) Leaf Area Index (LAI) Wetlands Amazon |
Resumo | The aim of this study is to evaluate the potential of multifrequency and Full-polarimetric Synthetic Aperture Radar (SAR) data for retrieving both Above Ground Biomass (AGB) and Leaf Area Index (LAI) in the Amazon floodplain forest environment. Two specific questions were proposed: (a) Does multifrequency SAR data perform more efficiently than single-frequency data in estimating LAI and AGB of várzea forests?; and (b) Are quad-pol SAR data more efficient than single- and dual-pol SAR data in estimating LAI and AGB of várzea forest? To answer these questions, data from different sources (TerraSAR-X Multi Look Ground Range Detected (MGD), Radarsat-2 Standard Qual-Pol, advanced land observing satellite (ALOS)/ phased-arrayed L-band SAR (PALSAR-1). Fine-beam dual (FDB) and quad Polarimetric mode) were combined in 10 different scenarios to model both LAI and AGB. A R-platform routine was implemented to automatize the selection of the best regression models. Results indicated that ALOS/PALSAR variables provided the best estimates for both LAI and AGB. Single-frequency L-band data was more efficient than multifrequency SAR. PALSAR-FDB HV-dB provided the best LAI estimates during low-water season. The best AGB estimates at high-water season were obtained by PALSAR-1 quad-polarimetric data. The top three features for estimating AGB were proportion of volumetric scattering and both the first and second dominant phase difference between trihedral and dihedral scattering, extracted from Van Zyl and Touzi decomposition, respectively. The models selected for both AGB and LAI were parsimonious. The Root Mean Squared Error (RMSEcv), relative overall RMSEcv (%) and R2 value for LAI were 0.61%, 0.55% and 13%, respectively, and for AGB, they were 74.6 t·ha−1, 0.88% and 46%, respectively. These results indicate that L-band (ALOS/PALSAR-1) has a high potential to provide quantitative and spatial information about structural forest attributes in floodplain forest environments. This potential may be extended not only with PALSAR-2 data but also to forthcoming missions (e.g., NISAR, Global Ecosystems Dynamics Investigation Lidar (GEDI), BIOMASS, Tandem-L) for promoting wall-to-wall AGB mapping with a high level of accuracy in dense tropical forest regions worldwide. |
Área | SRE |
Arranjo 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Multifrequency and Full-Polarimetric... |
Arranjo 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Multifrequency and Full-Polarimetric... |
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/8JMKD3MGP3W34R/3S29ARB |
URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP3W34R/3S29ARB |
Idioma | en |
Arquivo Alvo | pereira_multifrequency.pdf |
Grupo de Usuários | simone |
Grupo de Leitores | administrator simone |
Visibilidade | shown |
Política de Arquivamento | allowpublisher allowfinaldraft |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E |
Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.15.00.20 4 sid.inpe.br/bibdigital/2013/09.09.15.05 2 sid.inpe.br/bibdigital/2013/09.13.21.11 1 |
Divulgação | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. |
Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 |
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6. Notas | |
Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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