Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility

P Lima, S Steger, T Glade, FG Murillo-García - Journal of Mountain …, 2022 - Springer
In recent decades, data-driven landslide susceptibility models (DdLSM), which are based on
statistical or machine learning approaches, have become popular to estimate the relative …

[HTML][HTML] Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling–Benefits of exploring landslide data collection effects

S Steger, V Mair, C Kofler, M Pittore, M Zebisch… - Science of the total …, 2021 - Elsevier
Data-driven landslide susceptibility models formally integrate spatial landslide information
with explanatory environmental variables that describe predisposing factors of slope …

Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models

S Steger, M Moreno, A Crespi… - … Hazards and Earth …, 2022 - nhess.copernicus.org
The increasing availability of long-term observational data can lead to the development of
innovative modelling approaches to determine landslide triggering conditions at regional …

Counteracting flawed landslide data in statistically based landslide susceptibility modelling for very large areas: a national-scale assessment for Austria

P Lima, S Steger, T Glade - Landslides, 2021 - Springer
The reliability of input data to be used within statistically based landslide susceptibility
models usually determines the quality of the resulting maps. For very large territories …

The influences of the spatial extent selection for non-landslide samples on statistical-based landslide susceptibility modelling: A case study of Anhui Province in China

C Wang, Q Lin, L Wang, T Jiang, B Su, Y Wang… - Natural Hazards, 2022 - Springer
Landslide susceptibility assessment is crucial to the development of appropriate strategies
to mitigate the risk of landslide fatalities and economic losses. The selection of spatial extent …

Event-based landslide modeling in the Styrian Basin, Austria: accounting for time-varying rainfall and land cover

R Knevels, H Petschko, H Proske, P Leopold… - Geosciences, 2020 - mdpi.com
In June 2009 and September 2014, the Styrian Basin in Austria was affected by extreme
events of heavy thunderstorms, triggering thousands of landslides. Since the relationship …

Landslide susceptibility and mobilization rates in the Mount Elgon region, Uganda

J Broeckx, M Maertens, M Isabirye, M Vanmaercke… - Landslides, 2019 - Springer
Abstract Mount Elgon in Eastern Uganda is one of the most landslide-prone regions in
Africa. This extinct shield volcano is characterized by steep slopes, intense precipitation, and …

[HTML][HTML] Estimating global landslide susceptibility and its uncertainty through ensemble modeling

A Felsberg, J Poesen, M Bechtold… - … Hazards and Earth …, 2022 - nhess.copernicus.org
This study assesses global landslide susceptibility (LSS) at the coarse 36 km spatial
resolution of global satellite soil moisture observations to prepare for a subsequent …

Towards the use of land use legacies in landslide modeling: current challenges and future perspectives in an austrian case study

R Knevels, A Brenning, S Gingrich, G Heiss, T Lechner… - Land, 2021 - mdpi.com
Land use/land cover (LULC) changes may alter the risk of landslide occurrence. While
LULC has often been considered as a static factor representing present-day LULC, historical …

Landslide susceptibility assessment at the basin scale for rainfall-and earthquake-triggered shallow slides

C Gordo, JL Zêzere, R Marques - Geosciences, 2019 - mdpi.com
The hydrographic basin of Ribeira Grande (S. Miguel Island, Azores) has a set of
characteristics that enhance the occurrence of shallow slides that have been triggered by …