Application of sky view factor technique to the interpretation and reactivation assessment of landslide activity

Chia Ming Lo, Ching Fang Lee*, Jeff Keck

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

High-resolution digital elevation models are crucial to the investigation of natural disasters, and a variety of methods based on visualization and relief map compilations have been proposed. In this study, the sky view factor (SVF) is applied to slope maps and a digital elevation model (DEM) of the Oso landslide, a deadly landslide that occurred in Washington State on March 22, 2014, to demonstrate the effectiveness of SVF-enhanced relief maps in mapping and evaluating large-scale or deep-seated landslide hazards. A procedure for combining the SVF-enhanced DEM with slope and elevation maps is also presented. Then the maps are used to extract the landslide-prone areas and perform a reactivation analysis of the post-Oso landslide using an analytic hierarchy process (AHP). By using the SVF-enhanced DEM to perform the AHP assessment on multi-period images, we accurately evaluate hazard of the landslide for both pre and post-2014 conditions. Finally, different visualization maps, limitation and recommend parameters for generating SVF relief map are presented in the paper.

Original languageEnglish
Article number375
JournalEnvironmental Earth Sciences
Volume76
Issue number10
DOIs
StatePublished - 1 May 2017

Keywords

  • Deep-seated landslide
  • Digital elevation model
  • Micro-photography interpretation
  • Reactivation of landslide
  • Sky-view factor

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