Data collected for the 3rd journal paper in Q1/Q2 (WoS/Scopus)

Based on Airborne Laser Scanning from 2020., LandSlidePlan project is developing research considering different methods of susceptibility assessment for a pilot area in the City of Zagreb (20 km2). Among others, 11 methods of classification of continuous landslide conditioning factors are tested: stretched values, partially stretched classes, heuristic approach, classification based on studentized contrast and landslide presence, and commonly used classification criteria, such as Natural Neighbor, Quantiles and Geometrical intervals. Prepared sets of input dana will be applied in the Information Value, Logistic Regression, Neural Networks, Random Forests and Support Vector Machine methods.

The input dana for development of 54 different susceptibility models for a part of the Podsljeme zone will enable landslide susceptibility model optimization considering 11 different methods of classification of continuous landslide conditioning factors and 5 different statistical Methods. By this, the data is collected for the 3rd scientific journal of the LandSlidePlan project.