Data and code for pixel-based landslide susceptibility modelling in Huancabamba (Peru) using Random Forest and spatial block cross-validation.
Modeling post‑wildfire landslide risk using Python GIS workflows and publishing interactive maps through ArcGIS Online.
Landslide Susceptibility Assessment Tools - Project Manager Suite
A complete and fast Landslide Susceptibility Tool in MATLAB
Dynamic landslide susceptibility assessment using deep learning techniques
This repository hosts the Natural Hazards Classifier, a logistic regression-based machine learning model for predicting landslide risks using historical and real-time environmental data.
This repo contain the code/data used to produce landslide susceptibility map using Slope Units and Machine Learning Methods
Stacking ensemble of machine learning methods for landslide susceptibility mapping in Zhangjiajie City, Hunan Province, China
Predicting landslides spatial hazard with machine learning modelling.
Landslide Susceptibility Mapping by a Meta-learning Way
This tool is to develop an easy-to-use tool package called Landslide Susceptibility Mapping Tool Pack (LSM Tool Pack) for producing landslide susceptibility maps based on integrating R with ArcMap Software. The proposed tool contains 5 main modules namely: (1) Data Preparation (DP), (2) Feature (Factor) Selection (FS), (3) Logistic Regression (L…
Landslide Susceptibility Assessment Tools - Project Manager Suite - TestData
This project measures the landslide exposure of buildling infrastructures in Portland, Oregon, using landslide susceptibility and building footprint maps.
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