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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/3S29ARB
Repositóriosid.inpe.br/mtc-m21c/2018/10.10.12.15
Última Atualização2018:10.10.12.15.30 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2018/10.10.12.15.30
Última Atualização dos Metadados2020:12.13.19.09.53 (UTC) administrator
DOI10.3390/rs10091355
ISSN2072-4292
Chave de CitaçãoPereiraFuNoSaLiSi:2018:MuFuSA
TítuloMultifrequency and Full-Polarimetric SAR assessment for estimating above ground biomass and leaf area index in the Amazon Várzea Wetland
Ano2018
MêsSept.
Data de Acesso08 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho7029 KiB
2. Contextualização
Autor1 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 Curriculo1
2
3 8JMKD3MGP5W/3C9JH39
4 8JMKD3MGP5W/3C9JJ8N
ORCID1
2
3 0000-0002-1223-9276
4
5 0000-0003-0564-7818
6 0000-0001-8174-0489
Grupo1
2
3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
4 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 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 Autor1 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
RevistaRemote Sensing
Volume10
Número9
Páginase1355
Nota SecundáriaB3_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
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-ChaveSAR data
Above Ground Biomass (AGB)
Leaf Area Index (LAI)
Wetlands Amazon
ResumoThe 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.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Multifrequency and Full-Polarimetric...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Multifrequency and Full-Polarimetric...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/3S29ARB
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/3S29ARB
Idiomaen
Arquivo Alvopereira_multifrequency.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.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
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal 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
7. Controle da descrição
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