Development and application of Shannon’s entropy integrated information value model for landslide susceptibility assessment and zonation in Sikkim Himalayas in India

2014 ◽  
Vol 75 (2) ◽  
pp. 1555-1576 ◽  
Author(s):  
L. P. Sharma ◽  
Nilanchal Patel ◽  
M. K. Ghose ◽  
P. Debnath
Keyword(s):  
Landslide Susceptibility ◽  
Information Value ◽  
Shannon’S Entropy ◽  
Susceptibility Assessment ◽  
Shannon's Entropy ◽  
Landslide Susceptibility Assessment ◽  
Information Value Model ◽  
Value Model ◽  
Integrated Information

scholarly journals Landslide Susceptibility Assessment based on Information Value Model in Amzaz Watershed in Northern Morocco

2021 ◽  
Vol 2 (2) ◽  
pp. 3-19
Author(s):  
Abdelhak EL-FENGOUR ◽  
Carlos Bateira ◽  
Hanifa EL MOTAKI ◽  
Horacio García
Keyword(s):  
Information Value ◽  
Susceptibility Assessment ◽  
Individual Factor ◽  
Landslide Susceptibility Assessment ◽  
Susceptibility Maps ◽  
Information Value Model ◽  
Independent Variable ◽  
Value Model ◽  
Factor Maps ◽  
Iv Model

This paper aims to identify potential areas of landslides in the Amzaz watershed in northern Morocco with its precarious environmental balance using the Information Value (IV) Model. Van Westen (1994) defines bivariate methods as a modified form of the quantitative map combination with the exception that weightings are assigned based upon the statistical relationship between past landslides and various factor maps, individual factor maps (independent variable). A set of factor maps were overlaid with a landslide map (dependent variable) to create cross-tabulations for each one and class. The landslide inventory is used to result in the susceptibility maps for better mitigation of the risks and losses related to this phenomenon. The results demonstrated that the percentage of rotational landslides varies between 8.79 and 30.08%, and between 9.79 and 23.36% for translational slides susceptibility in the Amzaz watershed.

The Landslide Susceptibility Assessment using Bi-variate Statistical Information Value Model of Chenab River Valley, Jammu and Kashmir (India)

2021 ◽  
Vol 14 (11) ◽  
pp. 44-56
Author(s):  
Abhijit S. Patil ◽  
Bidyut K. Bhadra ◽  
Sachin S. Panhalkar ◽  
Sudhir K. Powar
Keyword(s):  
Landslide Susceptibility ◽  
Statistical Information ◽  
River Valley ◽  
Information Value ◽  
Landslide Inventory ◽  
Susceptibility Map ◽  
Acceptable Result ◽  
Information Value Model ◽  
Value Model ◽  
Chenab River

Almost every year, the Himalayan region suffers from a landslide disaster that is directly associated with the prosperity and development of the area. The study of landslide disasters helps planners, decision-makers and local communities for the development of anthropogenic structures in order to enhance the safety of society. Therefore, the prime aim of this research is to produce the landslide susceptibility map for the Chenab river valley using the bi-variate statistical information value model to detect and demarcate the areas of potential landslide incidence. The object-based image analysis method identified about 84 potential sites of landslides as landslide inventory. The statistical information value model is derived from the landslide inventory and multiple causative factors. The outcome showed that 23% area of the Chenab river valley falls into the class of a very high landslide susceptibility zone. The ROC curve method is used to validate the model which denoted the acceptable result for the landslide susceptibility zonation with 0.826 AUC value for the Chenab river valley.

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