A global slope unit-based method for the near real-time prediction of earthquake-induced landslides

H. Tanyas (Corresponding Author), M. Rossi, Massimiliano Alvioli, C.J. van Westen, Ivan Marchesini

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Rapid assessment of spatial distribution of earthquake-induced landslides could provide valuable information in the emergency response phase. Previous studies proposed global analyses with the aim of predicting earthquake-induced landslide distributions in near real-time. However, in all those studies, mapping units are constituted by pixels, which do not reflect homogeneously distributed physical property for a given terrain unit and whose size do not match the resolution of existing thematic data at global scale. Moreover, none of the existing analyses considers sampling balance between different inventories or categorizing the inventories to construct a training set with higher statistical representativeness. We develop an improved global statistical method to address these drawbacks. We use slope units, which are terrain partitions attributed to similar hydrological and geomorphological conditions and to processes that shape natural landscapes. A set of 25 earthquake-induced landslide-events are selected and categorized based on the similarity between causal factors to determine the most relevant training set to make a prediction for a given landslide-event. As a result, we develop a specific model for each category. We sample an equal number of landslide points from each inventory to overcome the dominance of some inventories with large landslide population. We use seven independent thematic variables for both categorizing the inventories and modeling, based on logistic regression. The results show that categorizing landslide-events introduces a remarkable improvement in the modeling performance of many events. The categorization of existing inventories can be applied within any statistical, global approach to earthquake-induced landslide events. The proposed categorization approach and the classification performance can be further improved with the acquisition of new inventory maps.
LanguageEnglish
Pages126-146
Number of pages21
JournalGeomorphology
Volume327
Issue number15 February
DOIs
Publication statusPublished - 2019

Fingerprint

landslide
earthquake
prediction
method
modeling
logistics
pixel
physical property
spatial distribution
sampling

Keywords

  • Landslides
  • Earthquakes
  • Rapid response
  • ITC-ISI-JOURNAL-ARTICLE

Cite this

Tanyas, H. ; Rossi, M. ; Alvioli, Massimiliano ; van Westen, C.J. ; Marchesini, Ivan. / A global slope unit-based method for the near real-time prediction of earthquake-induced landslides. In: Geomorphology. 2019 ; Vol. 327, No. 15 February. pp. 126-146.
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A global slope unit-based method for the near real-time prediction of earthquake-induced landslides. / Tanyas, H. (Corresponding Author); Rossi, M.; Alvioli, Massimiliano; van Westen, C.J.; Marchesini, Ivan.

In: Geomorphology, Vol. 327, No. 15 February, 2019, p. 126-146.

Research output: Contribution to journalArticleAcademicpeer-review

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T1 - A global slope unit-based method for the near real-time prediction of earthquake-induced landslides

AU - Tanyas, H.

AU - Rossi, M.

AU - Alvioli, Massimiliano

AU - van Westen, C.J.

AU - Marchesini, Ivan

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