LANDSLIDE SUSCEPTIBILITY ASSESSMENT AROUND BABADAĞ (DENİZLİ) TOWN USING LOGISTIC REGRESSION METHOD

Landslide susceptibility mapping using logistic regression analysis in Latyan catchment

    Every year, hundreds of people all over the world lose their lives due to landslides. Landslide susceptibility map describes the likelihood or possibility of new landslides occurring in an area, and therefore helping to reduce future potential damages. The main purpose of this study is to provide landslide susceptibility map using logistic regression model at Latyan watershed, north Iran. I...

Presentation of new ensemble method of Bayesian and logistic regression models in landslide susceptibility assessment in the Khalkhal Township

The aim of current research is to assess of landslide susceptibility in the Khalkhal Township, southern Ardabil using an ensemble and new method namely Bayesian and logistic regression (BT-LR) models. At first, landslide inventory map was prepared and then effective factors on landslide occurrence were identified. These factors are slope degree, plan curvature, slope aspect, elevation, landuse,...

GIS-based logistic regression method for landslide susceptibility mapping in regional scale

Landslide susceptibility map is one of the study fields portraying the spatial distribution of future slope failure susceptibility. This paper deals with past methods for producing landslide susceptibility map and divides these methods into 3 types. The logistic linear regression approach is further elaborated on by crosstabs method, which is used to analyze the relationship between the categor...

Landslide Susceptibility Mapping in a Himalayan Road Corridor Using Bayesian Logistic Regression Models

Landslide Fissure Inference Assessment by ANFIS and Logistic Regression Using UAS-Based Photogrammetry

Unmanned Aerial Systems (UAS) are now capable of gathering high-resolution data, therefore, landslides can be explored in detail at larger scales. In this research, 132 aerial photographs were captured, and 85,456 features were detected and matched automatically using UAS photogrammetry. The root mean square (RMS) values of the image coordinates of the Ground Control Points (GPCs) varied from 0...