[HTML][HTML] Landslide susceptibility maps of Italy: Lesson learnt from dealing with multiple landslide types and the uneven spatial distribution of the national inventory
Landslide susceptibility corresponds to the probability of landslide occurrence across a
given geographic space. This probability is usually estimated by using a binary classifier …
given geographic space. This probability is usually estimated by using a binary classifier …
[HTML][HTML] Explainable artificial intelligence in geoscience: A glimpse into the future of landslide susceptibility modeling
For decades, the distinction between statistical models and machine learning ones has
been clear. The former are optimized to produce interpretable results, whereas the latter …
been clear. The former are optimized to produce interpretable results, whereas the latter …
Space–time landslide susceptibility modeling based on data-driven methods
Delineating spatiotemporal variations in landslide susceptibility patterns is crucial for
landslide prevention and management. In this study, we present a space–time modeling …
landslide prevention and management. In this study, we present a space–time modeling …
Global dynamic rainfall-induced landslide susceptibility map** using machine learning
B Li, K Liu, M Wang, Q He, Z Jiang, W Zhu, N Qiao - Remote Sensing, 2022 - mdpi.com
Precipitation is the main factor that triggers landslides. Rainfall-induced landslide
susceptibility map** (LSM) is crucial for disaster prevention and disaster losses mitigation …
susceptibility map** (LSM) is crucial for disaster prevention and disaster losses mitigation …
[HTML][HTML] Landslide size matters: A new data-driven, spatial prototype
The standard definition of landslide hazard requires the estimation of where, when (or how
frequently) and how large a given landslide event may be. The geoscientific community …
frequently) and how large a given landslide event may be. The geoscientific community …
[HTML][HTML] Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories
Landslides are a key hazard in high-relief areas around the world and pose a risk to
populations and infrastructure. It is important to understand where landslides are likely to …
populations and infrastructure. It is important to understand where landslides are likely to …
[HTML][HTML] CHARACTERISTICS AND SPATIAL DISTRIBUTION PATTERN OF MS6.8 LUDING EARTHQUAKE OCCURRED ON SEPTEMBER 5, 2022
Abstract AMS 6.8 earthquake struck Luding County, Ganzi Tibetan Autonomous Prefecture,
Sichuan Province, China on September 5, 2022. The earthquake triggered large amounts of …
Sichuan Province, China on September 5, 2022. The earthquake triggered large amounts of …
[HTML][HTML] From spatio-temporal landslide susceptibility to landslide risk forecast
The literature on landslide susceptibility is rich with examples that span a wide range of
topics. However, the component that pertains to the extension of the susceptibility framework …
topics. However, the component that pertains to the extension of the susceptibility framework …
Near real time prediction of spatial distribution probability of earthquake-induced landslides—Take the lushan earthquake on June 1, 2022 as an example
Abstract At 17: 00 on June 1 st, 2022, following the Lushan Earthquake in 2013, an MS 6.1
earthquake occurred again in Lushan County, Ya'an City, Sichuan Province after 9 years …
earthquake occurred again in Lushan County, Ya'an City, Sichuan Province after 9 years …
When enough is really enough? On the minimum number of landslides to build reliable susceptibility models
Map** existing landslides is a fundamental prerequisite to build any reliable susceptibility
model. From a series of landslide presence/absence conditions and associated landscape …
model. From a series of landslide presence/absence conditions and associated landscape …