Preprints
https://doi.org/10.5194/egusphere-2023-448
https://doi.org/10.5194/egusphere-2023-448
14 Mar 2023
 | 14 Mar 2023
Status: this preprint is open for discussion.

Aerogeophysics and light detecting and ranging (LiDAR)-based lineament interpretation of Finland at the scale of 1:500 000

Jon Engström, Mira Markovaara-Koivisto, Nikolas Ovaskainen, Nicklas Nordbäck, Markku Paananen, Ismo Aaltonen, Annu Martinkauppi, Heidi Laxström, and Henrik Wik

Abstract. Lineaments, linear structures on the surface of the Earth, often represent the surface expressions of brittle structures, e.g., fault zones and fracture zones, or ductile shear zones. In addition, they may also represent other geological features such as lithological contacts, tectonic boundaries and Quaternary structures, or potentially a superposition of any of these. A lineament interpretation is usually the first step in the structural assessment of a crystalline bedrock setting, and the lineaments can further be used as basis for scientific research to more accurately determine the location of the previously mentioned various geological features. In this study, a multi-source lineament interpretation was performed within ArcGIS for the whole of Finland, based on light detecting and ranging (LiDAR), aerogeophysical and bathymetric raster data. The lineament database enhances the capability to produce more accurate geological maps for various geological purposes in Finland.

Jon Engström et al.

Status: open (until 25 Apr 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Jon Engström et al.

Jon Engström et al.

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Short summary
The main purpose of this nation-wide lineament study of whole Finland is to identify potential brittle bedrock structures. The source data used for the interpretation are a light detection and ranging (LiDAR) -based hillshaded ground elevation model, a seabed elevation model (bathymetry) and several aerogeophysical rasters. The data can be used for a preliminary mapping of bedrock structures, such as shear and fault zones, that directly influence bedrock fracturing at a regional scale.