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

Anais da Academia Brasileira de Ciências

Patricia D. Jacques²  Romulo Machado¹  Alexis R. Nummer¹ 

[1] ,CPRM, Serviço Geológico do Brasil DIGEOP Rio de Janeiro RJ ,Brasil

关键词: Landsat images;    remote sensing;    SRTM;    Santa Catarina;    statistics;    structural lineaments;    imagens Landsat;    sensoriamento remoto;    SRTM;    Santa Catarina;    estatística;    lineamentos estruturais;   

DOI  :  10.1590/S0001-37652012000400008

来源: SciELO

【 摘 要 】

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 for lineaments extracted from the images do not follow the same pattern according to the scale adopted. The main direction obtained for Proterozoic rocks using both image types at a 1:500, 000 scale are close to NS±10, whereas at a 1:100, 000 scale N45E was obtained for shaded relief images from SRTM 3 DEM and N10W for LANDSAT images. The Paleozoic sediments yielded the best results for the different images and scales (N50W). On the other hand, the Mesozoic igneous rocks showed greatest differences, the shaded relief images from SRTM 3 DEM images highlighting NE structures and the LANDSAT images highlighting NW structures. The accumulated frequency demonstrated high similarity between products for each image type no matter the scale, indicating that they can be used in multiscale studies. Conversely, major differences were found when comparing data obtained using shaded relief images from SRTM 3 DEM and Landsat images at a 1:100, 000 scale.

【 授权许可】

CC BY   
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