GIS-based assessment of landslide susceptibility using certainty factor and index of entropy models for the Qianyang County of Baoji city, China

摘要: The main goal of this study is to produce landslide susceptibility maps for the Qianyang County Baoji city, China, using both certainty factor (CF) and index entropy (IOE) models. At first, a inventory map was prepared earlier reports aerial photographs as well by carrying out field surveys. A total 81 locations were detected. Out these, 56 (70%) landslides randomly selected training data building models remaining 25 (30%) used validation purposes. Then, number 15 causative factors, such slope angle, aspect, general curvature, plan profile altitude, distance faults, rivers, roads, sediment transport (STI), stream power (SPI), topographic wetness (TWI), geomorphology, lithology, rainfall, in analysis. produced CF IOE had five different classes very low, moderate, high, high. Finally, output validated (i.e., 30% location that not during model construction), area under curve (AUC) method. ‘success rate’ showed 0.8433 (84.33%) 0.8227 (82.27%) accuracy, respectively. Similarly, result has higher prediction accuracy 82.32%, while it 80.88%. results two obtained successful can be preliminary land use planning hazard mitigation purpose.