Logo do repositório
 

Mapping Macrophyte Species in the Amazon Floodplain Wetlands Using Fully Polarimetric ALOS/PALSAR Data

dc.contributor.authorSartori, Lauriana Rubio [UNESP]
dc.contributor.authorImai, Nilton Nobuhiro [UNESP]
dc.contributor.authorMura, Jose Claudio
dc.contributor.authorLeao de Moraes Novo, Evlyn Marcia
dc.contributor.authorFreire Silva, Thiago Sanna
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionInstituto Nacional de Pesquisas Espaciais (INPE)
dc.contributor.institutionUniv Victoria
dc.date.accessioned2014-05-20T13:22:37Z
dc.date.available2014-05-20T13:22:37Z
dc.date.issued2011-12-01
dc.description.abstractThe purpose of this paper was to evaluate attributes derived from fully polarimetric PALSAR data to discriminate and map macrophyte species in the Amazon floodplain wetlands. Fieldwork was carried out almost simultaneously to the radar acquisition, and macrophyte biomass and morphological variables were measured in the field. Attributes were calculated from the covariance matrix [C] derived from the single-look complex data. Image attributes and macrophyte variables were compared and analyzed to investigate the sensitivity of the attributes for discriminating among species. Based on these analyses, a rule-based classification was applied to map macrophyte species. Other classification approaches were tested and compared to the rule-based method: a classification based on the Freeman-Durden and Cloude-Pottier decomposition models, a hybrid classification (Wishart classifier with the input classes based on the H/a plane), and a statistical-based classification (supervised classification using Wishart distance measures). The findings show that attributes derived from fully polarimetric L-band data have good potential for discriminating herbaceous plant species based on morphology and that estimation of plant biomass and productivity could be improved by using these polarimetric attributes.en
dc.description.affiliationSão Paulo State Univ UNESP, BR-19060190 Presidente Prudente, Brazil
dc.description.affiliationNatl Inst Space Res INPE, BR-12227010 Sao Jose Dos Campos, Brazil
dc.description.affiliationUniv Victoria, Dept Geog, Victoria, BC V8W 3R4, Canada
dc.description.affiliationUnespSão Paulo State Univ UNESP, BR-19060190 Presidente Prudente, Brazil
dc.format.extent4717-4728
dc.identifierhttp://dx.doi.org/10.1109/TGRS.2011.2157972
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc, v. 49, n. 12, p. 4717-4728, 2011.
dc.identifier.doi10.1109/TGRS.2011.2157972
dc.identifier.issn0196-2892
dc.identifier.lattes2985771102505330
dc.identifier.orcid0000-0003-0516-0567
dc.identifier.urihttp://hdl.handle.net/11449/6673
dc.identifier.wosWOS:000297281500004
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensing
dc.relation.ispartofjcr4.662
dc.relation.ispartofsjr2,649
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectAmazon floodplainen
dc.subjectclassificationen
dc.subjectmacrophyte speciesen
dc.subjectPhased Array Type L-Band Synthetic Aperture Radar (PALSAR) dataen
dc.subjectpolarimetric decompositionen
dc.subjectradar polarimetryen
dc.titleMapping Macrophyte Species in the Amazon Floodplain Wetlands Using Fully Polarimetric ALOS/PALSAR Dataen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIEEE-Inst Electrical Electronics Engineers Inc
dspace.entity.typePublication
unesp.author.lattes2985771102505330[2]
unesp.author.orcid0000-0001-8174-0489[5]
unesp.author.orcid0000-0003-0516-0567[2]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências e Tecnologia, Presidente Prudentept
unesp.departmentEstatística - FCTpt

Arquivos

Licença do pacote

Agora exibindo 1 - 2 de 2
Carregando...
Imagem de Miniatura
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Carregando...
Imagem de Miniatura
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição: