Mapping Macrophyte Species in the Amazon Floodplain Wetlands Using Fully Polarimetric ALOS/PALSAR Data
dc.contributor.author | Sartori, Lauriana Rubio [UNESP] | |
dc.contributor.author | Imai, Nilton Nobuhiro [UNESP] | |
dc.contributor.author | Mura, Jose Claudio | |
dc.contributor.author | Leao de Moraes Novo, Evlyn Marcia | |
dc.contributor.author | Freire Silva, Thiago Sanna | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.contributor.institution | Instituto Nacional de Pesquisas Espaciais (INPE) | |
dc.contributor.institution | Univ Victoria | |
dc.date.accessioned | 2014-05-20T13:22:37Z | |
dc.date.available | 2014-05-20T13:22:37Z | |
dc.date.issued | 2011-12-01 | |
dc.description.abstract | The 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.affiliation | São Paulo State Univ UNESP, BR-19060190 Presidente Prudente, Brazil | |
dc.description.affiliation | Natl Inst Space Res INPE, BR-12227010 Sao Jose Dos Campos, Brazil | |
dc.description.affiliation | Univ Victoria, Dept Geog, Victoria, BC V8W 3R4, Canada | |
dc.description.affiliationUnesp | São Paulo State Univ UNESP, BR-19060190 Presidente Prudente, Brazil | |
dc.format.extent | 4717-4728 | |
dc.identifier | http://dx.doi.org/10.1109/TGRS.2011.2157972 | |
dc.identifier.citation | IEEE Transactions on Geoscience and Remote Sensing. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc, v. 49, n. 12, p. 4717-4728, 2011. | |
dc.identifier.doi | 10.1109/TGRS.2011.2157972 | |
dc.identifier.issn | 0196-2892 | |
dc.identifier.lattes | 2985771102505330 | |
dc.identifier.orcid | 0000-0003-0516-0567 | |
dc.identifier.uri | http://hdl.handle.net/11449/6673 | |
dc.identifier.wos | WOS:000297281500004 | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.ispartof | IEEE Transactions on Geoscience and Remote Sensing | |
dc.relation.ispartofjcr | 4.662 | |
dc.relation.ispartofsjr | 2,649 | |
dc.rights.accessRights | Acesso restrito | |
dc.source | Web of Science | |
dc.subject | Amazon floodplain | en |
dc.subject | classification | en |
dc.subject | macrophyte species | en |
dc.subject | Phased Array Type L-Band Synthetic Aperture Radar (PALSAR) data | en |
dc.subject | polarimetric decomposition | en |
dc.subject | radar polarimetry | en |
dc.title | Mapping Macrophyte Species in the Amazon Floodplain Wetlands Using Fully Polarimetric ALOS/PALSAR Data | en |
dc.type | Artigo | |
dcterms.license | http://www.ieee.org/publications_standards/publications/rights/rights_policies.html | |
dcterms.rightsHolder | IEEE-Inst Electrical Electronics Engineers Inc | |
dspace.entity.type | Publication | |
unesp.author.lattes | 2985771102505330[2] | |
unesp.author.orcid | 0000-0001-8174-0489[5] | |
unesp.author.orcid | 0000-0003-0516-0567[2] | |
unesp.campus | Universidade Estadual Paulista (UNESP), Faculdade de Ciências e Tecnologia, Presidente Prudente | pt |
unesp.department | Estatística - FCT | pt |
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