The landslide is one of the natural disasters which claim human lives and incur huge
economic losses, especially in the mountainous area. The main aim of this study is to develop
different zones of landslide-prone area using the index of entropy (IOE) at the Ossey
watershed area in Bhutan. During the landslide inventory, 164 landslides were identified of
which 115 locations were used for the training dataset while the remaining 49 locations were
used for the validation dataset. A total of ten causal factors were used for this study including
elevation, slope, aspect, slope curvature, stream power index, normalized difference
vegetation index (NDVI), distance from the road, distance from the river, lithology, and
rainfall. The IOE was used to obtain the relationship between the landslide events and the
causal factors.Etc...
Keywords
Landslide susceptibility mapping; Index of entropy; Area under the curve; Kappa index