@article{fdi:010074099,
  title = {{I}nitial insights from a global database of rainfall-induced landslide inventories : the weak influence of slope and strong influence of total storm rainfall},
  author = {{M}arc, {O}. and {S}tumpf, {A}. and {M}alet, {J}. {P}. and {G}osset, {M}arielle and {U}chida, {T}. and {C}hiang, {S}. {H}.},
  editor = {},
  language = {{ENG}},
  abstract = {{R}ainfall-induced landslides are a common and significant source of damages and fatalities worldwide. {S}till, we have little understanding of the quantity and properties of landsliding that can be expected for a given storm and a given landscape, mostly because we have few inventories of rainfall-induced landslides caused by single storms. {H}ere we present six new comprehensive landslide event inventories coincident with well identified rainfall events. {C}ombining these datasets, with two previously published datasets, we study their statistical properties and their relations to topographic slope distribution and storm properties. {L}andslide metrics (such as total landsliding, peak landslide density, or landslide distribution area) vary across 2 to 3 orders of magnitude but strongly correlate with the storm total rainfall, varying over almost 2 orders of magnitude for these events. {A}pplying a normalization on the landslide run-out distances increases these correlations and also reveals a positive influence of total rainfall on the proportion of large landslides. {T}he nonlinear scaling of landslide density with total rainfall should be further constrained with additional cases and incorporation of landscape properties such as regolith depth, typical strength or permeability estimates. {W}e also observe that rainfall-induced landslides do not occur preferentially on the steepest slopes of the landscape, contrary to observations from earthquake-induced landslides. {T}his may be due to the preferential failures of larger drainage area patches with intermediate slopes or due to the lower pore-water pressure accumulation in fast-draining steep slopes. {T}he database could be used for further comparison with spatially resolved rainfall estimates and with empirical or mechanistic landslide event modeling.},
  keywords = {},
  booktitle = {},
  journal = {{E}arth {S}urface {D}ynamics},
  volume = {6},
  numero = {4},
  pages = {903--922},
  ISSN = {2196-6311},
  year = {2018},
  DOI = {10.5194/esurf-6-903-2018},
  URL = {https://www.documentation.ird.fr/hor/fdi:010074099},
}