Tag: landslide susceptibility

A modeling study projects that high landslide susceptibility will expand rapidly across the Tibetan Plateau under high greenhouse gas emissions, ...

A new study integrates tectonic and site-specific data to produce detailed seismic hazard and damage potential maps for the Kashmir ...

Researchers mapped regional landslide susceptibility across Uttarakhand's Uttarkashi District using ensemble machine learning models that achieved area under the curve ...

A new study in Geoenvironmental Disasters applies multivariate statistical methods to map landslide susceptibility in Yilan County, Taiwan, identifying slope ...

A spatial disaster assessment in Malaysia's Langat Basin reveals that combining physical landslide susceptibility with demographic and socioeconomic indicators significantly ...

Researchers evaluated a hybrid negative sampling strategy combining frequency ratio pre-screening and positive–unlabeled learning for landslide susceptibility modeling in a ...

A GIS-based regression study of two Kerala panchayats maps landslide susceptibility and identifies antecedent rainfall thresholds of roughly 300 and ...

Researchers in Chongqing combined self-paced curriculum learning with a Stacking ensemble to filter noisy negative samples, achieving a modest but ...

Researchers modified the TOBIA index to include wedge-failure geometry and mapped kinematic landslide susceptibility along an 80-kilometre stretch of NH-7 ...

A study in Watauga County, North Carolina, shows that blending three freely available 30-meter elevation models with machine learning can ...