introduction a landslide or landslip is a geological phenomenon which includes a wide range of ground movement, such as rock falls, deep failure of slopes and shallow debris flows, which can occur in offshore, coastal and onshore environments. although the action of gravity is the primary driving force for a landslide to occur, there are other contributing factors affecting the original slope s...

Abstract Landslide susceptibility is a measure to express the high or low probability of an area experiencing landslide disaster which has impact on community very necessary for mapping Tirtomoyo Watershed including Tirtomoyo. From 2014 2022, experienced 147 landslides caused material losses and casualties. The aspect assessment in watershed basic reduce risk loss. This study aims map landslide...

Landslide susceptibility mapping (LSM) studies provide essential information that helps various authorities in managing landslide-susceptible areas. This study aimed at applying and comparing the performance of DIvisive ANAlysis (DIANA) RObust Clustering using linKs (ROCK) algorithms for LSM Baota District, China. These methods can be applied when data has no labels there is insufficient invent...

Landslides are major natural hazards which not only result in the loss of human life but also cause economic burden on the society. Therefore, it is essential to develop suitable models to evaluate the susceptibility of slope failures and their zonations. This paper scientifically assesses various methods of landslide susceptibility zonation in GIS environment. A comparative study of Weights of...

the aim of this study is assessing and mapping landslide susceptibility in watershed of semiarid mountain areas. saeedabad-chai watershd is located on the northwest of iran and the north of sahand mountain. this study is using bivariate statistical analysis (bsa), weights-of-evidence (woe),gis. the results of this assessment show that causative factors as slope (∑wæ’= + 3.965), landuse(∑wæ’...

Landslide susceptibility mapping plays an imperative role in mitigating hazards and determining the future direction of developmental activities mountainous regions. Here, we used 518 landslide occurrences nine landslide-conditioning parameters to build vulnerability models Kailash Sacred Landscape (KSL), India. Four multivariate statistical were applied, namely generalized linear model (GLM), ...

In this paper, for the first time, a regional-scale 1:100,000 landslide-susceptibility map (LSM) is presented Sisak-Moslavina County in Croatia. The spatial relationship between landslide occurrence and predictive factors (engineering geological units, relief, roughness, distance to streams) assessed using integration of statistically based frequency ratio (FR) into analytical hierarchy process...