Glacially induced fault identification with LiDAR, based on examples from Finland

Jukka-Pekka Palmu, Antti E.K. Ojala, Jussi Mattila, Mira Markovaara-Koivisto, Timo Ruskeeniemi, Raimo Sutinen, Tobias Bauer, M. Keiding

Publikation: Bidrag til bog/rapport/konferenceproceedingsBogkapitelForskningpeer review

Abstrakt

Using information from airborne light detection and ranging (LiDAR) data has produced a breakthrough in identification of postglacial faults and earthquake-deformed Quaternary deposits. LiDAR digital elevation models (DEMs) also improve the collection of detailed information on their spatial distribution, characteristics and geometry, and provides guidance for the more costly and time-consuming field studies. In areas of weak glacial erosion, younger and older (i.e. Pre-Late Weichselian) ruptures have been discovered superimposed on the same or adjacent postglacial fault segments, as has been identified when combining the DEM information and test pit sedimentological studies. We discuss Finnish examples and identify advantages, disadvantages and limitations. Advantages include verification of previously known fault scarps, detection of new postglacial fault segments, systems and entire complexes and the ability to measure the dimensions (lengths and offset) of the fault scarps from the LiDAR DEM data. Disadvantages include that inventory of the sub- and postglacial fault scarps is only possible when linear scarps cross-cut glacial and postglacial sediments.
OriginalsprogEngelsk
TitelGlacially-triggered faulting
RedaktørerHolger Steffen, Odleiv Olesen, Raimo Sutinen
UdgivelsesstedCambridge
ForlagCambridge University Press
Sider89-99
Antal sider11
ISBN (Trykt)9781108490023
DOI
StatusUdgivet - dec. 2021

Programområde

  • Programområde 3: Energiressourcer

Fingeraftryk

Dyk ned i forskningsemnerne om 'Glacially induced fault identification with LiDAR, based on examples from Finland'. Sammen danner de et unikt fingeraftryk.

Citationsformater