Delineamento amostral em reservatórios utilizando imagens landsat-8/OLI: Um estudo de caso no reservatório de nova avanhandava (estado de São Paulo, Brasil)

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dc.contributor.authorRodrigues, Thanan Walesza Pequeno [UNESP]
dc.contributor.authorGuimarães, Ulisses Silva [UNESP]
dc.contributor.authorRotta, Luiz Henrique Da Silva [UNESP]
dc.contributor.authorWatanabe, Fernanda Sayuri Yoshino [UNESP]
dc.contributor.authorAlcântara, Enner [UNESP]
dc.contributor.authorImai, Nilton Nobuhiro [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionCentro Regional de Belém - SIPAM/CR-BE
dc.date.accessioned2018-12-11T17:03:55Z
dc.date.available2018-12-11T17:03:55Z
dc.date.issued2016-01-01
dc.description.abstractThe use of remote sensing focused on the determination of field samples is of great value to environmental studies, since the satellite images have attributes able to assess the spectral variability of water surface considering a wide area. Thus, this approach aims to define a stratified working method of selecting samples based on images variability in the visible and infrared wavelengths derived from Landsat-8/OLI sensor. The method relies on the use of raster data representing the standard deviation of a time series of images Landsat-8/OLI and then the automatic setting field points supported by the stratified random sampling. The choice of the image that yielded the selection of the samples was based on the greatest spectral variation component by means of Principal Component technique. As a result were obtained twenty representative points of a total of six spectrally similar classes created by using a Geographic Information System.en
dc.description.affiliationFaculdade de Ciências e Tecnologia Departamento de Cartografia Universidade Estadual Paulista - UNESP, Rua Roberto Simonsen, 305
dc.description.affiliationSistema de Proteção da Amazônia Centro Regional de Belém - SIPAM/CR-BE, Av. Júlio César, 7060
dc.description.affiliationUnespFaculdade de Ciências e Tecnologia Departamento de Cartografia Universidade Estadual Paulista - UNESP, Rua Roberto Simonsen, 305
dc.format.extent303-323
dc.identifierhttp://dx.doi.org/10.1590/S1982-21702016000200017
dc.identifier.citationBoletim de Ciencias Geodesicas, v. 22, n. 2, p. 303-323, 2016.
dc.identifier.doi10.1590/S1982-21702016000200017
dc.identifier.fileS1982-21702016000200303.pdf
dc.identifier.issn1982-2170
dc.identifier.issn1413-4853
dc.identifier.lattes2985771102505330
dc.identifier.lattes6691310394410490
dc.identifier.orcid0000-0003-0516-0567
dc.identifier.orcid0000-0002-8077-2865
dc.identifier.scieloS1982-21702016000200303
dc.identifier.scopus2-s2.0-84976646042
dc.identifier.urihttp://hdl.handle.net/11449/173158
dc.language.isopor
dc.relation.ispartofBoletim de Ciencias Geodesicas
dc.relation.ispartofsjr0,188
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectGeoprocessing
dc.subjectRemote sensing
dc.subjectSampling
dc.titleDelineamento amostral em reservatórios utilizando imagens landsat-8/OLI: Um estudo de caso no reservatório de nova avanhandava (estado de São Paulo, Brasil)pt
dc.title.alternativeSampling design in reservoirs based on landsat-8/OLI images: A case study in nova avanhandava reservoir (São Paulo state, Brazil)en
dc.typeArtigo
unesp.author.lattes2985771102505330[6]
unesp.author.lattes6691310394410490[4]
unesp.author.orcid0000-0003-0516-0567[6]
unesp.author.orcid0000-0002-8077-2865[4]

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