987 resultados para Computer Engineering|Remote sensing


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Los movimientos de ladera y los procesos de subsidencia son fenómenos que afectan a la superficie terrestre produciendo modificaciones importantes sobre ella. Los cambios que originan se manifiestan como deformaciones superficiales cuyo estudio resulta de gran importancia en el campo de la Ingeniería Geología y la Geotecnia. En el presente trabajo se lleva a cabo una descripción de las técnicas de Ingeniería Cartográfica (técnicas topográficas, geodésicas, fotogramétricas y de teledetección) empleadas para cuantificar las deformaciones causadas por movimientos de ladera y subsidencia terrestre, estableciendo sus principales características y llevando a cabo un análisis comparativo de las mismas.

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The complete characterization of rock masses implies the acquisition of information of both, the materials which compose the rock mass and the discontinuities which divide the outcrop. Recent advances in the use of remote sensing techniques – such as Light Detection and Ranging (LiDAR) – allow the accurate and dense acquisition of 3D information that can be used for the characterization of discontinuities. This work presents a novel methodology which allows the calculation of the normal spacing of persistent and non-persistent discontinuity sets using 3D point cloud datasets considering the three dimensional relationships between clusters. This approach requires that the 3D dataset has been previously classified. This implies that discontinuity sets are previously extracted, every single point is labeled with its corresponding discontinuity set and every exposed planar surface is analytically calculated. Then, for each discontinuity set the method calculates the normal spacing between an exposed plane and its nearest one considering 3D space relationship. This link between planes is obtained calculating for every point its nearest point member of the same discontinuity set, which provides its nearest plane. This allows calculating the normal spacing for every plane. Finally, the normal spacing is calculated as the mean value of all the normal spacings for each discontinuity set. The methodology is validated through three cases of study using synthetic data and 3D laser scanning datasets. The first case illustrates the fundamentals and the performance of the proposed methodology. The second and the third cases of study correspond to two rock slopes for which datasets were acquired using a 3D laser scanner. The second case study has shown that results obtained from the traditional and the proposed approaches are reasonably similar. Nevertheless, a discrepancy between both approaches has been found when the exposed planes members of a discontinuity set were hard to identify and when the planes pairing was difficult to establish during the fieldwork campaign. The third case study also has evidenced that when the number of identified exposed planes is high, the calculated normal spacing using the proposed approach is minor than those using the traditional approach.

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Rock mass classification systems are widely used tools for assessing the stability of rock slopes. Their calculation requires the prior quantification of several parameters during conventional fieldwork campaigns, such as the orientation of the discontinuity sets, the main properties of the existing discontinuities and the geo-mechanical characterization of the intact rock mass, which can be time-consuming and an often risky task. Conversely, the use of relatively new remote sensing data for modelling the rock mass surface by means of 3D point clouds is changing the current investigation strategies in different rock slope engineering applications. In this paper, the main practical issues affecting the application of Slope Mass Rating (SMR) for the characterization of rock slopes from 3D point clouds are reviewed, using three case studies from an end-user point of view. To this end, the SMR adjustment factors, which were calculated from different sources of information and processes, using the different softwares, are compared with those calculated using conventional fieldwork data. In the presented analysis, special attention is paid to the differences between the SMR indexes derived from the 3D point cloud and conventional field work approaches, the main factors that determine the quality of the data and some recognized practical issues. Finally, the reliability of Slope Mass Rating for the characterization of rocky slopes is highlighted.

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This layer is a digital raster graphic of the historic 15-minute USGS topographic map of the Dedham, Massachusetts quadrangle. The survey date (ground condition) of the original paper map is 1884-1886, the edition date is 1894 and this map was reprinted in July, 1909. A digital raster graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) standard series topographic map, including all map collar information. The image inside the map neatline is geo-referenced to the surface of the earth and fit to the Universal Transverse Mercator projection. The horizontal positional accuracy and datum of the DRG matches the accuracy and datum of the source map.

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This layer is a digital raster graphic of the historic 15-minute USGS topographic map of the Granville, Massachusetts quadrangle. The survey date (ground condition) of the original paper map is 1886-1887, the edition date is 1893. A digital raster graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) standard series topographic map, including all map collar information. The image inside the map neatline is geo-referenced to the surface of the earth and fit to the Universal Transverse Mercator projection. The horizontal positional accuracy and datum of the DRG matches the accuracy and datum of the source map.

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This layer is a digital raster graphic of the historic 15-minute USGS topographic map of the Lawrence, Massachusetts quadrangle. The survey date (ground condition) of the original paper map is 1886, the edition date is April, 1893 and this map has a reprint date of 1839. A digital raster graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) standard series topographic map, including all map collar information. The image inside the map neatline is geo-referenced to the surface of the earth and fit to the Universal Transverse Mercator projection. The horizontal positional accuracy and datum of the DRG matches the accuracy and datum of the source map.

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This layer is a digital raster graphic of the historic 15-minute USGS topographic map of the Marlboro, Massachusetts quadrangle. The survey date (ground condition) of the original paper map is 1886-87, the edition date is June, 1898 and this map has a reprint date of August, 1914. A digital raster graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) standard series topographic map, including all map collar information. The image inside the map neatline is geo-referenced to the surface of the earth and fit to the Universal Transverse Mercator projection. The horizontal positional accuracy and datum of the DRG matches the accuracy and datum of the source map.

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This layer is a digital raster graphic of the historic 15-minute USGS topographic map of the Martha's Vineyard, Massachusetts quadrangle. The survey date (ground condition) of the original paper map is 1887, the edition date is 1894 and this map has a reprint date of January, 1898. A digital raster graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) standard series topographic map, including all map collar information. The image inside the map neatline is geo-referenced to the surface of the earth and fit to the Universal Transverse Mercator projection. The horizontal positional accuracy and datum of the DRG matches the accuracy and datum of the source map.

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This layer is a digital raster graphic of the historic 15-minute USGS topographic map of the Middleborough, Massachusetts quadrangle. The survey date (ground condition) of the original paper map is 1885. A digital raster graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) standard series topographic map, including all map collar information. The image inside the map neatline is geo-referenced to the surface of the earth and fit to the Universal Transverse Mercator projection. The horizontal positional accuracy and datum of the DRG matches the accuracy and datum of the source map.

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This layer is a digital raster graphic of the historic 15-minute USGS topographic map of the Muskeget, Massachusetts quadrangle. The survey date (ground condition) of the original paper map is 1887, the edition date is May, 1899 and this map has a reprint date of 1943. A digital raster graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) standard series topographic map, including all map collar information. The image inside the map neatline is geo-referenced to the surface of the earth and fit to the Universal Transverse Mercator projection. The horizontal positional accuracy and datum of the DRG matches the accuracy and datum of the source map.

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This layer is a digital raster graphic of the historic 15-minute USGS topographic map of the Nantucket, Massachusetts quadrangle. The survey date (ground condition) of the original paper map is 1887, the edition date is February, 1901 and this map has a reprint date of 1940. A digital raster graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) standard series topographic map, including all map collar information. The image inside the map neatline is geo-referenced to the surface of the earth and fit to the Universal Transverse Mercator projection. The horizontal positional accuracy and datum of the DRG matches the accuracy and datum of the source map.

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This layer is a digital raster graphic of the historic 15-minute USGS topographic map of the New Bedford, Massachusetts quadrangle. The survey date (ground condition) of the original paper map is 1885. A digital raster graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) standard series topographic map, including all map collar information. The image inside the map neatline is geo-referenced to the surface of the earth and fit to the Universal Transverse Mercator projection. The horizontal positional accuracy and datum of the DRG matches the accuracy and datum of the source map.

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This layer is a digital raster graphic of the historic 15-minute USGS topographic map of the Newburyport, Massachusetts quadrangle. The survey date (ground condition) of the original paper map is 1884-1888, the edition date is March, 1894 and this map has a reprint date of 1926. A digital raster graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) standard series topographic map, including all map collar information. The image inside the map neatline is geo-referenced to the surface of the earth and fit to the Universal Transverse Mercator projection. The horizontal positional accuracy and datum of the DRG matches the accuracy and datum of the source map.

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This layer is a digital raster graphic of the historic 15-minute USGS topographic map of the Northampton, Massachusetts quadrangle. The survey date (ground condition) of the original paper map is 1884-1885, the edition date is July, 1895 and this map has a reprint date of April 1909. A digital raster graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) standard series topographic map, including all map collar information. The image inside the map neatline is geo-referenced to the surface of the earth and fit to the Universal Transverse Mercator projection. The horizontal positional accuracy and datum of the DRG matches the accuracy and datum of the source map.