Articles | Volume 16, issue 12
https://doi.org/10.5194/nhess-16-2729-2016
https://doi.org/10.5194/nhess-16-2729-2016
Research article
 | 
16 Dec 2016
Research article |  | 16 Dec 2016

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

Stefan Steger, Alexander Brenning, Rainer Bell, and Thomas Glade

Related authors

Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models
Stefan Steger, Mateo Moreno, Alice Crespi, Peter James Zellner, Stefano Luigi Gariano, Maria Teresa Brunetti, Massimo Melillo, Silvia Peruccacci, Francesco Marra, Robin Kohrs, Jason Goetz, Volkmar Mair, and Massimiliano Pittore
Nat. Hazards Earth Syst. Sci., 23, 1483–1506, https://doi.org/10.5194/nhess-23-1483-2023,https://doi.org/10.5194/nhess-23-1483-2023, 2023
Short summary

Related subject area

Landslides and Debris Flows Hazards
Brief communication: Weak correlation between building damage and loss of life from landslides
Maximillian Van Wyk de Vries, Alexandre Dunant, Amy L. Johnson, Erin L. Harvey, Sihan Li, Katherine Arrell, Jeevan Baniya, Dipak Basnet, Gopi K. Basyal, Nyima Dorjee Bhotia, Simon J. Dadson, Alexander L. Densmore, Tek Bahadur Dong, Mark E. Kincey, Katie Oven, Anuradha Puri, and Nick J. Rosser
Nat. Hazards Earth Syst. Sci., 25, 1937–1942, https://doi.org/10.5194/nhess-25-1937-2025,https://doi.org/10.5194/nhess-25-1937-2025, 2025
Short summary
Comparative analysis of μ(I) and Voellmy-type grain flow rheologies in geophysical mass flows: insights from theoretical and real case studies
Yu Zhuang, Brian W. McArdell, and Perry Bartelt
Nat. Hazards Earth Syst. Sci., 25, 1901–1912, https://doi.org/10.5194/nhess-25-1901-2025,https://doi.org/10.5194/nhess-25-1901-2025, 2025
Short summary
Exploring implications of input parameter uncertainties in glacial lake outburst flood (GLOF) modelling results using the modelling code r.avaflow
Sonam Rinzin, Stuart Dunning, Rachel Joanne Carr, Ashim Sattar, and Martin Mergili
Nat. Hazards Earth Syst. Sci., 25, 1841–1864, https://doi.org/10.5194/nhess-25-1841-2025,https://doi.org/10.5194/nhess-25-1841-2025, 2025
Short summary
From rockfall source area identification to susceptibility zonation: a proposed workflow tested on El Hierro (Canary Islands, Spain)
Roberto Sarro, Mauro Rossi, Paola Reichenbach, and Rosa María Mateos
Nat. Hazards Earth Syst. Sci., 25, 1459–1479, https://doi.org/10.5194/nhess-25-1459-2025,https://doi.org/10.5194/nhess-25-1459-2025, 2025
Short summary
Brief communication: Visualizing uncertainties in landslide susceptibility modelling using bivariate mapping
Matthias Schlögl, Anita Graser, Raphael Spiekermann, Jasmin Lampert, and Stefan Steger
Nat. Hazards Earth Syst. Sci., 25, 1425–1437, https://doi.org/10.5194/nhess-25-1425-2025,https://doi.org/10.5194/nhess-25-1425-2025, 2025
Short summary

Cited articles

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.
Download
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.
Share
Altmetrics
Final-revised paper
Preprint