scholarly journals GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

2014 ◽  
Vol 11 (4) ◽  
pp. 909-926 ◽  
Author(s):  
A. Jaafari ◽  
A. Najafi ◽  
H. R. Pourghasemi ◽  
J. Rezaeian ◽  
A. Sattarian
Keyword(s):  
Landslide Susceptibility ◽  
Frequency Ratio ◽  
Susceptibility Assessment ◽  
Northern Iran ◽  
Landslide Susceptibility Assessment ◽  
Index Of Entropy ◽  
Caspian Forest

scholarly journals Landslide susceptibility assessment of the part of the North Anatolian Fault Zone (Turkey) by GIS-based frequency ratio and index of entropy models

2016 ◽  
Author(s):  
Gökhan Demir
Keyword(s):  
Fault Zone ◽  
Landslide Susceptibility ◽  
Frequency Ratio ◽  
Susceptibility Assessment ◽  
North Anatolian Fault Zone ◽  
Landslide Susceptibility Assessment ◽  
The North ◽  
Index Of Entropy ◽  
Susceptibility Maps ◽  
Landslide Susceptibility Maps

Abstract. Abstract: In the present study, landslide susceptibility assessment for the the part of the North Anatolian Fault Zone is made using index of entropy models within geographical information system. At first, the landslide inventory map was prepared in the study area using earlier reports, aerial photographs and multiple field surveys. 63 cases (69 %) out of 91 detected landslides were randomly selected for modeling, and the remaining 28 (31 %) cases were used for the model validation. The landslide-trigerring factors, including slope degree, aspect, elevation, distance to faults, distance to streams, distance to road. Subsequently, landslide susceptibility maps were produced using frequency ratio and index of entropy models. For verification, the receiver operating characteristic (ROC) curves were drawn and the areas under the curve (AUC) calculated. The verification results showed that frequency ratio model (AUC = 75.71 %) performed slightly better than index of entropy (AUC = 75.43 %) model. The interpretation of the susceptibility map indicated that distance to streams, distance to road and slope degree play major roles in landslide occurrence and distribution in the study area. The landslide susceptibility maps produced from this study could assist planners and engineers for reorganizing and planning of future road construction.

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