Regional susceptibility assessments with heterogeneous landslide information: Slope unit- vs. pixel-based approach

Liesbet Jacobs, Matthieu Kervyn, Paola Reichenbach, Mauro Rossi, Ivan Marchesini, Massimiliano Alvioli, Olivier Dewitte

Research output: Contribution to journalArticle

8 Citations (Scopus)


Regional landslide inventories are often prepared by several different experts, using a variety of data sources. This can result in a combination of polygon and point landslide data, characterized by different meanings, uncertainties and levels of reliability. The propagation of uncertainties due to such heterogeneous data is a relevant issue in statistical landslide susceptibility zonation at supra-local scale. In the inhabited highlands of the Rwenzori Mountains, we compare different approaches and mapping units to provide a robust methodology for susceptibility mapping using a combination of landslide point and polygon data. First, the effect of the uncertainty related to a point representation of landslides is assessed comparing slope unit-based and pixel-based analyses, using digital elevation models with different resolutions. Secondly, with regard to landslide polygon inventories, we compare the use of thresholds versus a presence/absence of the depletion centroid or a randomly selected point in the landslide polygon in order to identify slope units with landslides. Based on these results, we prepare regional slope unit-based susceptibility maps using a logistic regression model calibrated with the landslide polygon inventory and validated with the point inventory. Although pixel-based mapping remains the most common approach for statistical landslide susceptibility zonation, our analysis clearly favours the use of slope units as a powerful tool to prepare regional susceptibility maps and, in particular, to exploit heterogeneous information in a consistent way.

Original languageEnglish
Article number107084
Publication statusPublished - 1 May 2020


  • Data heterogeneity
  • Landslide susceptibility
  • Positional inaccuracy
  • Slope units

Fingerprint Dive into the research topics of 'Regional susceptibility assessments with heterogeneous landslide information: Slope unit- vs. pixel-based approach'. Together they form a unique fingerprint.

Cite this