Articles | Volume 15, issue 14
Geosci. Model Dev., 15, 5651–5666, 2022
Geosci. Model Dev., 15, 5651–5666, 2022
Model description paper
21 Jul 2022
Model description paper | 21 Jul 2022

LAND-SUITE V1.0: a suite of tools for statistically based landslide susceptibility zonation

Mauro Rossi et al.

Related authors

A spaceborne SAR-based procedure to support the detection of landslides
Giuseppe Esposito, Ivan Marchesini, Alessandro Cesare Mondini, Paola Reichenbach, Mauro Rossi, and Simone Sterlacchini
Nat. Hazards Earth Syst. Sci., 20, 2379–2395,,, 2020
Short summary
Effective surveyed area and its role in statistical landslide susceptibility assessments
Txomin Bornaetxea, Mauro Rossi, Ivan Marchesini, and Massimiliano Alvioli
Nat. Hazards Earth Syst. Sci., 18, 2455–2469,,, 2018
Short summary
Criteria for the optimal selection of remote sensing optical images to map event landslides
Federica Fiorucci, Daniele Giordan, Michele Santangelo, Furio Dutto, Mauro Rossi, and Fausto Guzzetti
Nat. Hazards Earth Syst. Sci., 18, 405–417,,, 2018
Short summary
Field-based landslide susceptibility assessment in a data-scarce environment: the populated areas of the Rwenzori Mountains
Liesbet Jacobs, Olivier Dewitte, Jean Poesen, John Sekajugo, Adriano Nobile, Mauro Rossi, Wim Thiery, and Matthieu Kervyn
Nat. Hazards Earth Syst. Sci., 18, 105–124,,, 2018
Short summary
Landslides, floods and sinkholes in a karst environment: the 1–6 September 2014 Gargano event, southern Italy
Maria Elena Martinotti, Luca Pisano, Ivan Marchesini, Mauro Rossi, Silvia Peruccacci, Maria Teresa Brunetti, Massimo Melillo, Giuseppe Amoruso, Pierluigi Loiacono, Carmela Vennari, Giovanna Vessia, Maria Trabace, Mario Parise, and Fausto Guzzetti
Nat. Hazards Earth Syst. Sci., 17, 467–480,,, 2017
Short summary

Related subject area

Earth and space science informatics
Twenty-five years of the IPCC Data Distribution Centre at the DKRZ and the Reference Data Archive for CMIP data
Martina Stockhause and Michael Lautenschlager
Geosci. Model Dev., 15, 6047–6058,,, 2022
Short summary
Effectiveness and computational efficiency of absorbing boundary conditions for full-waveform inversion
Daiane Iglesia Dolci, Felipe A. G. Silva, Pedro S. Peixoto, and Ernani V. Volpe
Geosci. Model Dev., 15, 5857–5881,,, 2022
Short summary
Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5
Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh, Eviatar Bach, and Karthik Kashinath
Geosci. Model Dev., 15, 2221–2237,,, 2022
Short summary
Fast infrared radiative transfer calculations using graphics processing units: JURASSIC-GPU v2.0
Paul F. Baumeister and Lars Hoffmann
Geosci. Model Dev., 15, 1855–1874,,, 2022
Short summary
CSDMS: a community platform for numerical modeling of Earth surface processes
Gregory E. Tucker, Eric W. H. Hutton, Mark D. Piper, Benjamin Campforts, Tian Gan, Katherine R. Barnhart, Albert J. Kettner, Irina Overeem, Scott D. Peckham, Lynn McCready, and Jaia Syvitski
Geosci. Model Dev., 15, 1413–1439,,, 2022
Short summary

Cited articles

Aleotti, P. and Chowdhury, R.: Landslide hazard assessment: summary review and new perspectives, B. Eng. Geol. Environ., 58, 21–44, 1999. 
Amorim, S. F.: Estudio comparativo de métodos para la evaluación de la susceptibilidad del terreno a la formación de deslizamientos superficiales: Aplicación al Pirineo Oriental, PhD, Universidad Politécnica de Catalunya, Barcelona, (last access: 6 July 2022), 2012. 
Baum, R. L., Savage, W. Z., and Godt, J. W.: TRIGRS: a Fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis, version 2.0, Reston, VA, USA: US Geological Survey, 2008–1159, 2008. 
Belsley, D. A.: A guide to using the collinearity diagnostics, Comput. Sci. Eco. Manage., 4, 33–50, 1991. 
Belsley, D. A., Kuh, E., and Welsch, R. E. (Eds.): Regression Diagnostics, John Wiley and Sons, New York,, 1980. 
Short summary
LAND-SUITE is a software package designed to support landslide susceptibility zonation. The software integrates, extends, and completes LAND-SE (Rossi et al., 2010; Rossi and Reichenbach, 2016). The software is implemented in R, a free software environment for statistical computing and graphics, and gives expert users the possibility to perform easier, more flexible, and more informed statistically based landslide susceptibility applications and zonations.