There are many ways to assess rainfall induced landslides susceptibility. In general the available techniques are divided in physical and probabilistic approaches. Both need morphological data (DEM) and a database of past events to be calibrated for a specific region considered geologically and morphologically homogeneous. In particular physical models need IDF curves and a certain amount of geotechnical parameters of soils that are in some cases difficult to obtain. But their major advantage is that they can easily include the return period without having information on timing and rainfall amount that have triggered the landslide, which are hardly available in remote areas (i.e. mountainous areas). While statistical models can avoid the use of geotechnical parameters, but they need an extended database with information on time and rainfall of previous events (not easily available) to build, for instance, rainfall thresholds.
The reference given by Hamid is really interesting. Many authors, including my research group, have been investigating on these topics. I leave you some more references hoping that will be of your interest.
Fell R, Corominas J, Bonnard C, Cascini L, Leroi E, Savage WZ (2008) Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Eng Geol 102:85–98
J. Corominas and J. Moya, “A review of assessing landslide frequency for hazard zoning purposes,” Engineering Geology, vol. 102, no. 3-4, pp. 193–213, 2008
Chevalier G, Medina V, Hürlimann M, Bateman A (2013) Debris-flow susceptibility analysis using fluvio-morphological parameters and data mining: application to the Central-Eastern Pyrenees. Natural Hazards. Springer, Netherlands, pp 1–26
Bregoli, F., Medina, V., Chevalier, G., Hürlimann, M., & Bateman, A. (2014). Debris-flow susceptibility assessment at regional scale: Validation on an alpine environment. Landslides, 1-18.
recently my research group combined prbabilistic rainfall thresholds with susceptibility maps. Maybe the final aim is slightly different than yours (we used it for an early warning system), but perhaps it could help you out somehow!
:-)
Article Integration of rainfall thresholds and susceptibility maps i...
my research group worked on this topic for quite long time, combining landslide susceptibility models and analysis of rainfall severity. This may be of some interest to you.
PENNA, D., M. BORGA, G.T. ARONICA, G. BRIGANDI’, P. TAROLLI, 2014: The influence of grid resolution on the prediction of natural and road-related shallow landslides. Hydrology and Earth System Sciences, 18, 2127-2139, www.hydrol-earth-syst-sci.net/18/2127/2014/doi:10.5194/hess-18-2127-2014, ISSN: 1027-5606.
LANNI, C., M. BORGA, R. RIGON, P. TAROLLI, 2012: Modelling shallow landslide susceptibility by means of a subsurface flow path connectivity index and estimates of soil depth spatial distribution. Hydrology and Earth System Sciences, 16, 3959-3971, doi:10.5194/hess-16-3959-2012, ISSN: 1027-5606.
TAROLLI, P., M. BORGA, K-T. CHANG, S. CHIANG, 2011: Modelling shallow landsliding susceptibility by incorporating heavy rainfall statistical properties. Geomorphology, 133, 3-4, 199-211, ISSN: 0169-555X.
BORGA M, G. DALLA FONTANA, F. CAZORZI, 2002: Analysis of topographic and climatic control on rainfall-triggered shallow landsliding using a quasi-dynamic wetness index. Journal of Hydrology, 268(1-4), 56-71, ISSN: 0022-1694.