[HTML][HTML] Machine-learning based landslide susceptibility modelling with emphasis on uncertainty analysis
Landslide susceptibility maps are vital tools used by decision-makers to adopt mitigation
strategies for future calamities. In this context, research on landslide susceptibility modelling …
strategies for future calamities. In this context, research on landslide susceptibility modelling …
[HTML][HTML] Modeling landslide activity and sediment connectivity after eruptions: insights from the Blanco River (Chile)
Volcanic eruptions can disrupt entire river basins by affecting the hydro-geomorphic
characteristics of channel networks and hillslopes. Reports suggest a pulsed and delayed …
characteristics of channel networks and hillslopes. Reports suggest a pulsed and delayed …
Spatial analysis on the variances of landslide factors using geographically weighted logistic regression in Penang Island, Malaysia
Landslides are one of the common natural disasters involving mostly movement of soil
surfaces associated with gravitational attraction. Their adverse losses and significant …
surfaces associated with gravitational attraction. Their adverse losses and significant …
Prophetical modeling using limit equilibrium method and novel machine learning ensemble for slope stability gauging in kalimpong
Slope stability assessment is necessary to evaluate the safety of natural or man-made
slopes. This analysis is crucial for determining the potential risk that could result in …
slopes. This analysis is crucial for determining the potential risk that could result in …
Comparative study of decision tree and its advance ensemble techniques for landslide susceptibility map
The landsides are ubiquitous and expensive hazards in all mountain regions. The landslide
susceptibility map (LSM) must be considered by decision makers to carry out any …
susceptibility map (LSM) must be considered by decision makers to carry out any …
Comparative Analysis of Slope Stability for Kalimpong Region under Dynamic Loading Using Limit Equilibrium Method and Machine Benchmark Learning Classifiers
Significant slope destabilisation may become more likely due to the speed at which
urbanisation is occurring, as well as the growing necessity for geoengineering initiatives or …
urbanisation is occurring, as well as the growing necessity for geoengineering initiatives or …
Landslide Movement of Bendungan District Trenggalek Using an Artificial Neural Network
Landslide is one of the disasters that often occurs in Indonesia in the East Java Province,
especially in Bendungan District, Trenggalek Regency. Analysis of landslide susceptibility in …
especially in Bendungan District, Trenggalek Regency. Analysis of landslide susceptibility in …
Advanced machine-learning approaches for landslide susceptibility map generation using remote sensing data and GIS.
Under the present Indian government initiative, allweather roads are being taken up for four
pilgrimage locations in the Uttarakhand state of India. The Rishikesh to Gangotri road axis is …
pilgrimage locations in the Uttarakhand state of India. The Rishikesh to Gangotri road axis is …
Evaluation of Random Forest and Support Vector Machine Models in Landslide Risk Map** (Case study: Tajan Basin, Mazandaran Province)
SH Sadati, SR Mousavi… - Journal of Natural …, 2025 - jneh.usb.ac.ir
The development of landslide susceptibility maps using machine learning is an effective tool
for managing land in vulnerable regions. This study generates a landslide susceptibility map …
for managing land in vulnerable regions. This study generates a landslide susceptibility map …
Determination of alternative forest road routes using produced landslide susceptibility maps: A case study of Tonya (Trabzon), Türkiye
Firstly, Landslide Susceptibility Maps of the study area were produced using Frequency
Ratio and Modified Information Value models. Nine factors were defined and the Landslide …
Ratio and Modified Information Value models. Nine factors were defined and the Landslide …