2012
DOI: 10.1590/s0001-37652012000400008
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A comparison for a multiscale study of structural lineaments in southern Brazil: LANDSAT-7 ETM+ and shaded relief images from SRTM3-DEM

Abstract: This paper presents a comparison of descriptive statistics obtained for brittle structural lineaments extracted manually from LANDSAT images and shaded relief images from SRTM 3 DEM at 1:100,000 and 1:500,000 scales. The selected area is located in the southern of Brazil and comprises Precambrian rocks and stratigraphic units of the Paraná Basin. The application of this methodology shows that the visual interpretation depends on the kind of remote sensing image. The resulting descriptive statistics obtained fo… Show more

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Cited by 10 publications
(5 citation statements)
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References 22 publications
(14 reference statements)
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“…In addition, optical remote sensing images (LANDSAT ETM + and ASTER-Table 2) were useful in the extraction of linear features related to relief and geomorphology. Further information about the image processing applied in LANDSAT ETM + and SRTM images can be find in Jacques et al (2012).…”
Section: Methodsmentioning
confidence: 99%
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“…In addition, optical remote sensing images (LANDSAT ETM + and ASTER-Table 2) were useful in the extraction of linear features related to relief and geomorphology. Further information about the image processing applied in LANDSAT ETM + and SRTM images can be find in Jacques et al (2012).…”
Section: Methodsmentioning
confidence: 99%
“…The extraction of brittle linear relief features was done manually based on the visual interpretation of shaded relief images, with the application of artificial lighting to the SRTM DEM at a scale of 1:100,000 (Jacques et al, 2010(Jacques et al, , 2012. These data were compared with the features obtained by the isobase and HG maps, and the common lineaments to both types of data (SRTM × isobase or SRTM × HG) were interpreted as possibly associated to recent tectonic events.…”
Section: Methodsmentioning
confidence: 99%
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“…Monitorar parâmetros ambientais pode ser relevante em vários domínios, como na saúde humana, na redução de poluição no ambiente ou na preservação de produtos perecíveis (Oprea et al, 2012). De acordo com Jacques (et al, 2012): "O uso de imagens feitas com sensoriamento remoto promove o avanço no conhecimento relativo à metodologia de processamento de dados aplicados nas geociências".…”
Section: Geoprocessamento Sensoriamento Remoto E Aplicabilidadesunclassified