[HTML][HTML] A review of statistically-based landslide susceptibility models
In this paper, we do a critical review of statistical methods for landslide susceptibility
modelling and associated terrain zonations. Landslide susceptibility is the likelihood of a …
modelling and associated terrain zonations. Landslide susceptibility is the likelihood of a …
[HTML][HTML] Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future
Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …
dismantling mountains and contributing sediments to the river networks. Caused by …
Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning
Predictive capability of landslide susceptibilities is assumed to be varied with different
sampling techniques, such as (a) the landslide scarp centroid,(b) centroid of landslide …
sampling techniques, such as (a) the landslide scarp centroid,(b) centroid of landslide …
Mapping landslide susceptibility using data-driven methods
Most epistemic uncertainty within data-driven landslide susceptibility assessment results
from errors in landslide inventories, difficulty in identifying and mapping landslide causes …
from errors in landslide inventories, difficulty in identifying and mapping landslide causes …
Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility
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 …
statistical or machine learning approaches, have become popular to estimate the relative …
Automatic delineation of geomorphological slope units with r.slopeunits v1.0 and their optimization for landslide susceptibility modeling
Automatic subdivision of landscapes into terrain units remains a challenge. Slope units are
terrain units bounded by drainage and divide lines, but their use in hydrological and …
terrain units bounded by drainage and divide lines, but their use in hydrological and …
[HTML][HTML] Space-time landslide predictive modelling
Landslides are nearly ubiquitous phenomena and pose severe threats to people, properties,
and the environment in many areas. Investigators have for long attempted to estimate …
and the environment in many areas. Investigators have for long attempted to estimate …
Inventory of landslides triggered by an extreme rainfall event in Marche-Umbria, Italy, on 15 September 2022
Systematic and timely documentation of triggered (ie event) landslides is fundamental to
build extensive datasets worldwide that may help define and/or validate trends in response …
build extensive datasets worldwide that may help define and/or validate trends in response …
Landslide susceptibility assessment based on an incomplete landslide inventory in the Jilong Valley, Tibet, Chinese Himalayas
J Du, T Glade, T Woldai, B Chai, B Zeng - Engineering Geology, 2020 - Elsevier
The Himalayan range is one of the most tectonically active mountain ranges on Earth. The
Jilong Valley is a deeply-dissected canyon in the Chinese Himalayas in Tibet, and in this …
Jilong Valley is a deeply-dissected canyon in the Chinese Himalayas in Tibet, and in this …
[HTML][HTML] Constructing a complete landslide inventory dataset for the 2018 monsoon disaster in Kerala, India, for land use change analysis
L Hao, A Rajaneesh, C Van Westen… - … system science data, 2020 - essd.copernicus.org
Event-based landslide inventories are important for analyzing the relationship between the
intensity of the trigger (eg, rainfall, earthquake) and the density of the landslides in a …
intensity of the trigger (eg, rainfall, earthquake) and the density of the landslides in a …