Derivation of earthquake-induced landslide distribution using aerial photogrammetry: the January 24, 2020, Elazig (Turkey) earthquake


KARAKAŞ G., NEFESLİOĞLU H. A. , KOCAMAN GÖKÇEOĞLU S., Buyukdemircioglu M., Yurur T., GÖKÇEOĞLU C.

LANDSLIDES, 2021 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume:
  • Publication Date: 2021
  • Doi Number: 10.1007/s10346-021-01660-2
  • Journal Name: LANDSLIDES
  • Journal Indexes: Science Citation Index Expanded, Scopus, Academic Search Premier, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Compendex, Geobase, INSPEC, Civil Engineering Abstracts

Abstract

On January 24, 2020, an earthquake with the Mw of 6.8 occurred on the East Anatolian Fault Zone in Elazig Province, Turkey, and triggered many landslides. Even though Turkey is in a high seismic zone and has highly susceptible areas to landslides, event-based inventories of landslides triggered by earthquakes have not yet been published in the international literature. The purpose of the present study is to compile the landslide inventory triggered by the Elazig earthquake. A novel approach involved change detection analyses was applied by using high-resolution 3D digital surface models (DSMs) obtained from pre- and post-earthquake aerial photos. In the study, a total of 328 landslides sized between 133 m(2) and 3 x 10(6) m(2) were mapped by visual interpretations. The rollover effect and fractal dimension of the failures were obtained as 3600 m(2) and -1.48, respectively. The total landslide area including new active zones developed after 2018 within the existing mass was calculated as approximately 8 x 10(6) m(2). According to the volumetric change analyses, the displacements were between -17.66 m and 14.11 m. It is evident that using photogrammetric methods to produce very high-resolution DSMs enables precise determination of landslide activity after an earthquake and increases the quality of the inventory. Consequently, application of the surface comparison methods immediately after large earthquakes provides great benefits in obtaining new landslide data open up important possibilities for a better understanding of the mechanism of landslides triggered by earthquakes, thus minimizing losses sourced from them.