Submerged macrophytes height estimation by echosounder data sample

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dc.contributor.authorRotta, Luiz Henrique Da Silva [UNESP]
dc.contributor.authorImai, Nilton Nobuhiro [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:27:17Z
dc.date.available2014-05-27T11:27:17Z
dc.date.issued2012-12-01
dc.description.abstractTraditional methods of submerged aquatic vegetation (SAV) survey last long and then, they are high cost. Optical remote sensing is an alternative, but it has some limitations in the aquatic environment. The use of echosounder techniques is efficient to detect submerged targets. Therefore, the aim of this study is to evaluate different kinds of interpolation approach applied on SAV sample data collected by echosounder. This study case was performed in a region of Uberaba River - Brazil. The interpolation methods evaluated in this work follow: Nearest Neighbor, Weighted Average, Triangular Irregular Network (TIN) and ordinary kriging. Better results were carried out with kriging interpolation. Thus, it is recommend the use of geostatistics for spatial inference of SAV from sample data surveyed with echosounder techniques. © 2012 IEEE.en
dc.description.affiliationSão Paulo State University Postgraduate Course in Cartographic Sciences, Presidente Prudente - SP
dc.description.affiliationUnespSão Paulo State University Postgraduate Course in Cartographic Sciences, Presidente Prudente - SP
dc.format.extent808-811
dc.identifierhttp://dx.doi.org/10.1109/IGARSS.2012.6351439
dc.identifier.citationInternational Geoscience and Remote Sensing Symposium (IGARSS), p. 808-811.
dc.identifier.doi10.1109/IGARSS.2012.6351439
dc.identifier.issn2153-6996
dc.identifier.lattes2985771102505330
dc.identifier.orcid0000-0003-0516-0567
dc.identifier.scopus2-s2.0-84873163079
dc.identifier.urihttp://hdl.handle.net/11449/73817
dc.identifier.wosWOS:000313189401008
dc.language.isoeng
dc.relation.ispartofInternational Geoscience and Remote Sensing Symposium (IGARSS)
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectGeographic Information Systems
dc.subjectInterpolation
dc.subjectRivers
dc.subjectSubmerged aquatic vegetation
dc.subjectUnderwater acoustics
dc.subjectAquatic environments
dc.subjectData sample
dc.subjectEcho sounders
dc.subjectGeo-statistics
dc.subjectHeight estimation
dc.subjectHigh costs
dc.subjectInterpolation method
dc.subjectKriging interpolation
dc.subjectNearest neighbors
dc.subjectOptical remote sensing
dc.subjectOrdinary kriging
dc.subjectSample data
dc.subjectStudy case
dc.subjectSubmerged aquatic vegetations
dc.subjectSubmerged macrophytes
dc.subjectSubmerged targets
dc.subjectTriangular Irregular Networks
dc.subjectWeighted averages
dc.subjectGeographic information systems
dc.subjectGeology
dc.subjectRemote sensing
dc.subjectSurveys
dc.subjectVegetation
dc.titleSubmerged macrophytes height estimation by echosounder data sampleen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
unesp.author.lattes2985771102505330[2]
unesp.author.orcid0000-0003-0516-0567[2]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências e Tecnologia, Presidente Prudentept

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