Kirsch Moritz m.kirsch@hzdr.de 0000-0003-1512-5511 Lorenz Sandra 0000-0001-8464-2331 Zimmermann Robert Andreani Louis 0000-0002-5916-155X Tusa Laura Pospiech Solveig Jackisch Robert robert.jackisch@tu-berlin.de 0000-0001-5696-8721 Khodadadzadeh Mahdi Ghamisi Pedram Unger Gabriel Hödl Philip Gloaguen Richard Middleton Maarit Sutinen Raimo Ojala Antti E K antti.e.ojala@utu.fi https://www.utu.fi/en/people/antti-ojala Mattila Jussi 0000-0003-1953-2114 Nordbäck Nicklas 0000-0002-7152-7550 Palmu Jukka-Pekka Tiljander Mia Ruskeeniemi Timo 0000-0002-9084-4199 2019 Hyperspectral imagery-enhanced virtual outcrop models of two palaeoseismic trenches in northern Finnish Lapland dataset Helmholtz-Zentrum Dresden-Rossendorf https://doi.org/10.1594/PANGAEA.904718 2019-08-09T07:27:43 Kirsch Moritz m.kirsch@hzdr.de 0000-0003-1512-5511 Lorenz Sandra 0000-0001-8464-2331 Zimmermann Robert Andreani Louis 0000-0002-5916-155X Tusa Laura Pospiech Solveig Jackisch Robert robert.jackisch@tu-berlin.de 0000-0001-5696-8721 Khodadadzadeh Mahdi Ghamisi Pedram Unger Gabriel Hödl Philip Gloaguen Richard Middleton Maarit Sutinen Raimo Ojala Antti E K antti.e.ojala@utu.fi https://www.utu.fi/en/people/antti-ojala Mattila Jussi 0000-0003-1953-2114 Nordbäck Nicklas 0000-0002-7152-7550 Palmu Jukka-Pekka Tiljander Mia Ruskeeniemi Timo 0000-0002-9084-4199 2019 Hyperspectral outcrop models for palaeoseismic studies journal article Photogrammetric Record 34(168) https://doi.org/10.1111/phor.12300 385-407 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. 26.148 26.148 67.225 67.225 26.148 67.225 not specified FinnishLapland 67.225 26.148 Finland Multiple investigations MULT 70 CC-BY-4.0 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ File content Content Kirsch Moritz m.kirsch@hzdr.de 0000-0003-1512-5511 Content File name File name Kirsch Moritz m.kirsch@hzdr.de 0000-0003-1512-5511 File name File format File format Kirsch Moritz m.kirsch@hzdr.de 0000-0003-1512-5511 within zip File format File size File size kByte size http://purl.obolibrary.org/obo/PATO_0000117 Kirsch Moritz m.kirsch@hzdr.de 0000-0003-1512-5511 File size [kByte] Uniform resource locator/link to file URL file Kirsch Moritz m.kirsch@hzdr.de 0000-0003-1512-5511 URL file supplement citable geology hyperspectral imaging palaeoseismology Photogrammetry remote sensing author61067 author70702 author70703 author70704 author70705 author70706 author70707 author70708 author70709 author70710 author70711 author70712 author70713 author70714 author70715 author70716 author70717 author70718 author70719 author70720 event2912699 geocode1600 geocode1601 journal12813 license21 method10667 param16143 param16144 param25541 param54251 param99583 pi70702 ref100637 sourceinst20542 term1073204 term21817 term47299 term47577 term49748 term50199 term50200 topotype1