The combination of spectral and spatial data in zoning of landslide susceptibility (Case study: Sangorchay reservoir)
Paper Details
The combination of spectral and spatial data in zoning of landslide susceptibility (Case study: Sangorchay reservoir)
Abstract
Maps of landslide susceptibility is one of the most important necessary tools for the environmental programmers and people who make decisions especially in mountainous areas. The main goal of this research is to evaluate and use the data and methods of far-distance evaluation such as satellite images and also to use Multiple Criteria Decision Making models in Zoning of landslide susceptibility. (ANP) Analytic Network process is among the models of preparing map of landslide susceptibility this model has kept the capabilities and advantages of AHP model and has fulfilled the related problems and therefore in recent years it has been used more than AHP and has actually replaced it. In this research, we have zoned the landslide susceptibility in Sangor Chay. For this research, we have used 17 natural and human parameters (rainfall, distance to fault, distance to river, drainage density, slope degree and direction, land usage, vegetation coverage and etc.) Choice, decision and ENVI are among the tools that are used for pair comparisons, providing data and performing the model. Evaluation results show that 76 percent of landslides that have been occurred in the region, belong to “dangerous” and “extremely dangerous” classes. According to this, Data and parameters resulted from far-distance models and also multiple criteria Decision making models, are likely to be suitable for forecasting the landslide susceptibility.
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Mohmmad Hoessin Fathi, Kazem Khohdel, Amir Shoreh Kandi, Zahra Ashrafifeini, Mohammad Ali Khaliji (2015), The combination of spectral and spatial data in zoning of landslide susceptibility (Case study: Sangorchay reservoir); JBES, V6, N2, February, P515-527
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