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 …
Modelling landslide susceptibility prediction: a review and construction of semi-supervised imbalanced theory
F Huang, H ** has substantially improved with advances
in machine learning. However, there are still challenges remain in landslide map** due to …
in machine learning. However, there are still challenges remain in landslide map** due to …
[HTML][HTML] National-scale data-driven rainfall induced landslide susceptibility map** for China by accounting for incomplete landslide data
China is one of the countries where landslides caused the most fatalities in the last decades.
The threat that landslide disasters pose to people might even be greater in the future, due to …
The threat that landslide disasters pose to people might even be greater in the future, due to …
[HTML][HTML] Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling–Benefits of exploring landslide data collection effects
Data-driven landslide susceptibility models formally integrate spatial landslide information
with explanatory environmental variables that describe predisposing factors of slope …
with explanatory environmental variables that describe predisposing factors of slope …
Comparative analysis of statistical methods for landslide susceptibility map** in the Bostanlik District, Uzbekistan
Abstract The Bostanlik district, Uzbekistan, is characterized by mountainous terrain
susceptible to landslides. The present study aims at creating a statistically derived landslide …
susceptible to landslides. The present study aims at creating a statistically derived landslide …
Landslide susceptibility assessment based on an incomplete landslide inventory in the Jilong Valley, Tibet, Chinese Himalayas
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 …
Comparison of random forest model and frequency ratio model for landslide susceptibility map** (LSM) in Yunyang County (Chongqing, China)
Y Wang, D Sun, H Wen, H Zhang, F Zhang - International journal of …, 2020 - mdpi.com
To compare the random forest (RF) model and the frequency ratio (FR) model for landslide
susceptibility map** (LSM), this research selected Yunyang Country as the study area for …
susceptibility map** (LSM), this research selected Yunyang Country as the study area for …
Landslide susceptibility prediction considering land use change and human activity: A case study under rapid urban expansion and afforestation in China
H ** using random forest and geodetector
Y Wang, H Wen, D Sun, Y Li - Remote Sensing, 2021 - mdpi.com
This study aims to evaluate risk and discover the distribution law for landslides, so as to
enrich landslide prevention theory and method. It first selected Fengjie County in the Three …
enrich landslide prevention theory and method. It first selected Fengjie County in the Three …