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Volume 16, issue 12
Nat. Hazards Earth Syst. Sci., 16, 2729-2745, 2016
https://doi.org/10.5194/nhess-16-2729-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nat. Hazards Earth Syst. Sci., 16, 2729-2745, 2016
https://doi.org/10.5194/nhess-16-2729-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 16 Dec 2016

Research article | 16 Dec 2016

The propagation of inventory-based positional errors into statistical landslide susceptibility models

Stefan Steger et al.
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Alvioli, M., Marchesini, I., Reichenbach, P., Rossi, M., Ardizzone, F., Fiorucci, F., and Guzzetti, F.: Automatic delineation of geomorphological slope units with r.slopeunits v1.0 and their optimization for landslide susceptibility modeling, Geosci. Model Dev., 9, 3975–3991, https://doi.org/10.5194/gmd-9-3975-2016, 2016.
Ardizzone, F., Cardinali, M., Carrara, A., Guzzetti, F., and Reichenbach, P.: Impact of mapping errors on the reliability of landslide hazard maps, Nat. Hazards Earth Syst. Sci., 2, 3–14, https://doi.org/10.5194/nhess-2-3-2002, 2002.
Atkinson, P. M. and Massari, R.: Generalised linear modelling of susceptibility to landsliding in the central Apennines, Italy, Comput. Geosci., 24, 373–385, 1998.
Atkinson, P., Jiskoot, H., Massari, R., and Murray, T.: Generalized linear modelling in geomorphology, Earth Surf. Proc. Land., 23, 1185–1195, 1998.
Ballabio, C. and Sterlacchini, S.: Support Vector Machines for Landslide Susceptibility Mapping: The Staffora River Basin Case Study, Italy, Math. Geosci., 44, 47–70, https://doi.org/10.1007/s11004-011-9379-9, 2012.
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Short summary
This study investigates the propagation of landslide inventory-based positional errors into statistical landslide susceptibility models by artificially introducing such spatial inaccuracies. The findings highlight that (i) an increasing positional error is related to increasing distortions of modelling and validation results, (ii) interrelations between inventory-based errors and modelling results are complex, and (iii) inventory-based errors can be counteracted by adapting the study design.
This study investigates the propagation of landslide inventory-based positional errors into...
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