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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3L9LHFL
Repositóriosid.inpe.br/mtc-m21b/2016/03.03.16.15   (acesso restrito)
Última Atualização2016:07.04.17.59.37 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21b/2016/03.03.16.15.29
Última Atualização dos Metadados2020:12.31.02.07.48 (UTC) administrator
DOI10.1016/j.rse.2015.12.013
ISSN0034-4257
Chave de CitaçãoFurtadoSilvNovo:2016:DuFuC
TítuloDual-season and full-polarimetric C band SAR assessment for vegetation mapping in the Amazon varzea wetlands
Ano2016
MêsMar.
Data de Acesso28 abr. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2147 KiB
2. Contextualização
Autor1 Furtado, Luiz Felipe de Almeida
2 Silva, Thiago Sanna Freire
3 Novo, Evlyn Márcia Leão de Moraes
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JH39
Grupo1 DSR-OBT-INPE-MCTI-GOV-BR
2
3 DSR-OBT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Universidade Estadual Paulista (UNESP)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 furtadosere@gmail.com
2
3 evlyn.novo@inpe.br
RevistaRemote Sensing of Environment
Volume174
Páginas212-222
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE
Histórico (UTC)2016-03-03 16:15:29 :: simone -> administrator ::
2016-07-04 12:29:58 :: administrator -> simone :: 2016
2016-07-04 17:59:37 :: simone -> administrator :: 2016
2020-12-31 02:07:48 :: administrator -> simone :: 2016
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-ChavePoISAR
Wetlands
Polarimetric decomposition
Multitemporal
Mapping accuracy
ResumoThis study answered the following questions: 1) Is polarimetric C-band SAR (PoISAR) more efficient than dual polarization (dual-pol) C-band SAR for mapping varzea floodplain vegetation types, when using images of a single hydrological period? 2) Are single-season C-band PoISAR images more accurate for mapping varzea vegetation types than dual-season dual-pol C-band SAR images? 3) What are the most efficient polarimetric descriptors for mapping varzea vegetation types? We applied the Random Forests algorithm to classify dual-pol SAR images and polarimetric descriptois derived from two full-polarimetric Radarsat-2 C-band images acquired during the low and high water seasons of Lago Grande de Curuai floodplain, lower Amazon, Brazil. We used the Kappa index of agreement (kappa), Allocation Disagreement (AD) and Quantity Disagreement (QD), and Producer's and User's accuracy measurements to assess the classification results. Our results showed that single-season full-polarimetric C-band data can yield more accurate classifications than single-season dual-pol C-band SAR imagery and similar accuracies to dual-season dual-pol C-band SAR classifications. Still, dual season PoISAR achieved the highest accuracies, showing that seasonality is paramount for obtaining high accuracies in wetland land cover classification, regardless of SAR image type. On average, single-season classifications of low-water periods were less accurate than high-water classifications, likely due to plant phenology and flooding conditions. Classifications using model-based polarimetric decompositions (such as Freeman-Durden, Yamaguchi and van Zyl) produced the highest accuracies (kappa greater than 0.8; AD ranging from 7.5% to 2.5%; QD ranging from 15% to 12%), while eigenvector-based decompositions such as Touzi and Cloude-Pottier had the worst accuracies (kappa ranging from 0.5 to 0.7; AD greater than 10%; QD smaller than 10%). Vegetation types with dense canopies (Shrubs, Floodable Forests and Emergent Macrophytes), whose classification is challenging using C-band, were accurately classified using dual-season full-polarimetric SAR data, with Producer's and User's accuracies between 80% and 90%. We conclude that full polarimetric C-band imagery can yield very accurate classifications of varzea vegetation (kappa similar to 0.8, AD similar to 3% and QD similar to 10%) and can be used as an operational tool for forested wetland mapping.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Dual-season and full-polarimetric...
Conteúdo da Pasta docacessar
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Conteúdo da Pasta agreement
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvo1_furtado_dual.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher allowfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.13.21.11 3
sid.inpe.br/mtc-m21/2012/07.13.14.45.43 1
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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