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| Titel |
Which data for quantitative landslide susceptibility mapping at operational scale? Case study of the Pays d'Auge plateau hillslopes (Normandy, France) |
| VerfasserIn |
M. Fressard, Y. Thiery, O. Maquaire |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Sciences ; 14, no. 3 ; Nr. 14, no. 3 (2014-03-13), S.569-588 |
| Datensatznummer |
250118333
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| Publikation (Nr.) |
 copernicus.org/nhess-14-569-2014.pdf |
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| Zusammenfassung |
| This paper aims at assessing the impact of the data set quality for landslide
susceptibility mapping using multivariate statistical modelling methods at
detailed scale. This research is conducted on the Pays d'Auge plateau
(Normandy, France) with a scale objective of 1 / 10 000, in order to fit
the French guidelines on risk assessment. Five sets of data of increasing
quality (considering accuracy, scale fitting, and geomorphological
significance) and cost of acquisition are used to map the landslide
susceptibility using logistic regression. The best maps obtained with each
set of data are compared on the basis of different statistical accuracy
indicators (ROC curves and relative error calculation), linear cross
correlation and expert opinion. The results highlight that only high-quality
sets of data supplied with detailed geomorphological variables (i.e. field
inventory and surficial formation maps) can predict a satisfying proportion
of landslides in the study area. |
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