Hyperspectral imagery-enhanced virtual outcrop models of two palaeoseismic trenches in northern Finnish Lapland
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| Format: | Dataset Open Access |
| Sprache: | en |
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PANGAEA
2019
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| author | Kirsch, Moritz Lorenz, Sandra Zimmermann, Robert Andreani, Louis Tusa, Laura Pospiech, Solveig Jackisch, Robert Khodadadzadeh, Mahdi Ghamisi, Pedram Unger, Gabriel Hödl, Philip Gloaguen, Richard Middleton, Maarit Sutinen, Raimo Ojala, Antti E K Mattila, Jussi Nordbäck, Nicklas Palmu, Jukka-Pekka Tiljander, Mia Ruskeeniemi, Timo |
| author_facet | Kirsch, Moritz Lorenz, Sandra Zimmermann, Robert Andreani, Louis Tusa, Laura Pospiech, Solveig Jackisch, Robert Khodadadzadeh, Mahdi Ghamisi, Pedram Unger, Gabriel Hödl, Philip Gloaguen, Richard Middleton, Maarit Sutinen, Raimo Ojala, Antti E K Mattila, Jussi Nordbäck, Nicklas Palmu, Jukka-Pekka Tiljander, Mia Ruskeeniemi, Timo |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The traditional study of palaeoseismic trenches involving logging, stratigraphic and structural interpretation can be time-consuming and affected by biases and inaccuracies. To overcome these limitations, we present a new workflow that integrates infrared hyperspectral and photogrammetric data to support field-based palaeoseismic observations. As a case study, this method is applied on two palaeoseismic trenches excavated across a post-glacial fault scarp in northern Finnish Lapland. The hyperspectral imagery (HSI) is geometrically and radiometrically corrected, processed using established image processing algorithms and machine learning approaches, and co-registered to a Structure-from-Motion point cloud. HSI-enhanced virtual outcrop models are a useful complement to palaeoseismic field studies as they not only provide an intuitive visualisation of the outcrop and a versatile data archive, but also enable an unbiased assessment of the mineralogical composition of lithologic units and a semi-automatic delineation of contacts and deformational structures in a 3D virtual environment. Uploaded data: 14 individual 3D point clouds (ascii format) from two palaeoseismic trenches, including two structure-from-motion photogrammetric RGB point clouds and 12 hyperspectral-enhanced point clouds. Data headers contain point coordinates in m (ETRS89/UTM35N), RGB color (0–255), and point normals (only for SfM RGB point clouds) in the following order: X, Y, Z, Red, Green, Blue, Nx, Ny, Nz. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_904718 |
| institution | PANGAEA |
| language | en |
| publishDate | 2019 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Hyperspectral imagery-enhanced virtual outcrop models of two palaeoseismic trenches in northern Finnish Lapland Kirsch, Moritz Lorenz, Sandra Zimmermann, Robert Andreani, Louis Tusa, Laura Pospiech, Solveig Jackisch, Robert Khodadadzadeh, Mahdi Ghamisi, Pedram Unger, Gabriel Hödl, Philip Gloaguen, Richard Middleton, Maarit Sutinen, Raimo Ojala, Antti E K Mattila, Jussi Nordbäck, Nicklas Palmu, Jukka-Pekka Tiljander, Mia Ruskeeniemi, Timo File content; File format; File name; File size; Finland; FinnishLapland; geology; hyperspectral imaging; MULT; Multiple investigations; palaeoseismology; Photogrammetry; remote sensing; Uniform resource locator/link to file The traditional study of palaeoseismic trenches involving logging, stratigraphic and structural interpretation can be time-consuming and affected by biases and inaccuracies. To overcome these limitations, we present a new workflow that integrates infrared hyperspectral and photogrammetric data to support field-based palaeoseismic observations. As a case study, this method is applied on two palaeoseismic trenches excavated across a post-glacial fault scarp in northern Finnish Lapland. The hyperspectral imagery (HSI) is geometrically and radiometrically corrected, processed using established image processing algorithms and machine learning approaches, and co-registered to a Structure-from-Motion point cloud. HSI-enhanced virtual outcrop models are a useful complement to palaeoseismic field studies as they not only provide an intuitive visualisation of the outcrop and a versatile data archive, but also enable an unbiased assessment of the mineralogical composition of lithologic units and a semi-automatic delineation of contacts and deformational structures in a 3D virtual environment. Uploaded data: 14 individual 3D point clouds (ascii format) from two palaeoseismic trenches, including two structure-from-motion photogrammetric RGB point clouds and 12 hyperspectral-enhanced point clouds. Data headers contain point coordinates in m (ETRS89/UTM35N), RGB color (0–255), and point normals (only for SfM RGB point clouds) in the following order: X, Y, Z, Red, Green, Blue, Nx, Ny, Nz. |
| title | Hyperspectral imagery-enhanced virtual outcrop models of two palaeoseismic trenches in northern Finnish Lapland |
| topic | File content; File format; File name; File size; Finland; FinnishLapland; geology; hyperspectral imaging; MULT; Multiple investigations; palaeoseismology; Photogrammetry; remote sensing; Uniform resource locator/link to file |
| url | https://doi.org/10.1594/PANGAEA.904718 |