Assessing Consistency and Inconsistency in Landslide Susceptibility Mapping: Quality Criteria and Pixel-Level Analysis in a Case Study from the Alborz Mountains, North of Tehran, Iran

Thomas M. Kreuzer (), Martina Wilde, Christian Büdel, Peter Priesmeier, Alexander Fekete and Birgit Terhorst
Additional contact information
Thomas M. Kreuzer: University of Würzburg
Martina Wilde: University of Würzburg
Christian Büdel: University of Würzburg
Peter Priesmeier: TH Köln
Alexander Fekete: TH Köln
Birgit Terhorst: University of Würzburg

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2025, vol. 121, issue 15, No 17, 17707-17729

Abstract: Abstract Landslide susceptibility maps (LSMs) are vital for hazard mitigation and planning, but their direct comparison remains challenging due to differing methodologies, map classes, and lack of accessible digital data. This study presents a novel approach for quantitative pixel-level comparison of published LSMs—often only available as images—using the PIA software. Fourteen LSMs from eight studies in the Alborz Mountains, Iran, were digitized, standardized to four susceptibility classes, and compared using three quality metrics: area under the curve (AUC), slope of the validation curve, and spatial bias towards mapped landslide cluster areas. Results show that 12 out of 14 LSMs achieve AUC values above 0.5, indicating moderate to good predictive performance, yet spatial agreement is low: only 0.1% of the area has full agreement across all LSMs, and statistically significant modal agreement (at least 8 out of 14 maps concur, $$p

Keywords: Landslide; Susceptibility; Digital Map Processing; Pixel-level analysis; Cartographic uncertainty; Consensus mapping (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-025-07487-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:121:y:2025:i:15:d:10.1007_s11069-025-07487-7

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-025-07487-7

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().