An open dataset for landslides triggered by the 2016 Mw 7.8 Kaikoura earthquake, New Zealand

Creative Commons License

Tanyas H., Görüm T., Fadel I., Yıldırım C., Lombardo L.

LANDSLIDES, vol.19, no.6, pp.1405-1420, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 19 Issue: 6
  • Publication Date: 2022
  • Doi Number: 10.1007/s10346-022-01869-9
  • Journal Name: LANDSLIDES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Compendex, Geobase, INSPEC, Civil Engineering Abstracts
  • Page Numbers: pp.1405-1420
  • Keywords: Co-seismic landslide, Kaikoura earthquake, Landslide inventory, Landslide dam, SURFACE-RUPTURE, COSEISMIC LANDSLIDES, 2008 WENCHUAN, FAULT, PATTERN, MARLBOROUGH, COMPLEX, GORKHA, MODEL, STYLE
  • Istanbul Technical University Affiliated: Yes


On November 14, 2016, the northeastern South Island of New Zealand was hit by the magnitude Mw 7.8 Kaikoura earthquake, which is characterized by the most complex rupturing mechanism ever recorded. The widespread landslides triggered by the earthquake make this event a great case study to revisit our current knowledge of earthquake-triggered landslides in terms of factors controlling the spatial distribution of landslides and the rapid assessment of geographic areas affected by widespread landsliding. Although the spatial and size distributions of landslides have already been investigated in the literature, a polygon-based co-seismic landslide inventory with landslide size information is still not available as of June 2021. To address this issue and leverage this large landslide event, we mapped 14,233 landslides over a total area of approximately 14,000 km(2). We also identified 101 landslide dams and shared them all via an open-access repository. We examined the spatial distribution of co-seismic landslides in relation to lithologic units and seismic and morphometric characteristics. We analyzed the size statistics of these landslides in a comparative manner, by using the five largest co-seismic landslide inventories ever mapped (i.e., Chi-Chi, Denali, Wenchuan, Haiti, and Gorkha). We compared our inventory with respect to these five ones to answer the question of whether the landslides triggered by the 2016 Kaikoura earthquake are less numerous and/or share size characteristics similar to those of other strong co-seismic landslide events. Our findings show that the spatial distribution of the Kaikoura landslide event is not significantly different from those belonging to other extreme landslide events, but the average landslide size generated by the Kaikoura earthquake is relatively larger compared to some other large earthquakes (i.e., Wenchuan and Gorkha).