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- Title
Hyperspectral outcrop models for palaeoseismic studies.
- Authors
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; Mattila, Jussi; Nordbäck, Nicklas; Palmu, Jukka‐Pekka; Tiljander, Mia; Ruskeeniemi, Timo
- Abstract
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, a new workflow is presented 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.
- Subjects
EARTHQUAKE resistant design; VIRTUAL reality; DATA libraries; POINT cloud; IMAGE processing; TRENCHES
- Publication
Photogrammetric Record, 2019, Vol 34, Issue 168, p385
- ISSN
0031-868X
- Publication type
Article
- DOI
10.1111/phor.12300