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dc.contributor.authorSAMUEL-ROSA, A.pt_BR
dc.contributor.authorANJOS, L. H. C. dospt_BR
dc.contributor.authorVASQUES, G. de M.pt_BR
dc.contributor.authorANTUNES, M. A. H.pt_BR
dc.contributor.authorDALMOLIN, R. S. D.pt_BR
dc.date.accessioned2014-01-06T11:11:11Zpt_BR
dc.date.available2014-01-06T11:11:11Zpt_BR
dc.date.created2014-01-06pt_BR
dc.date.issued2013pt_BR
dc.identifier.citationIn: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 34., 2013, Florianópolis. Anais... Florianópolis: Sociedade Brasileira de Ciência do Solo, 2013.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/974950pt_BR
dc.descriptionThe Topodata digital elevation model (DEM) is the best DEM available for digital soil mapping (DSM) in Brazil. However, it is not ready to use. We show that the kriging interpolator used to downscale the SRTM DEM from 3 arc-seconds to 1 arc-second spatial resolution increased the double oblique striping (15º and 60º) so common to SRTM DEMs. This is because kriging is quite sensitive to outliers. Besides, the Gaussian model of spatial covariance used in the downscaling enhanced the sensitivity of kriging to outliers, thus enhancing the striping. 2D Fast Fourier Transform can be used to identify whether a destriping procedure need to be employed. The bilinear or cubic resampling methods should be used to warp Topodata DEMs because they are insensitive to the double oblique striping.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectSRTM downscalingpt_BR
dc.subjectDEM warpingpt_BR
dc.subject2D Fast Fourier Transformpt_BR
dc.titleIdentifying and correcting oblique striping in the topodata digital elevation model.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2016-12-12T11:11:11Zpt_BR
riaa.ainfo.id974950pt_BR
riaa.ainfo.lastupdate2016-12-12pt_BR
dc.contributor.institutionAlessandro Samuel-Rosa, UFRRJ; Lúcia H. C. dos Anjos, UFRRJ; GUSTAVO DE MATTOS VASQUES, CNPS; Mauro A. H. Antunes, UFRRJ; Ricardo S. D. Dalmolin, UNIVERSIDADE FEDERAL DE SANTA MARIA.pt_BR
Aparece nas coleções:Artigo em anais de congresso (CNPS)

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