The Application of the Hybrid GIS Spatial Multi-Criteria Decision Analysis Best–Worst Methodology for Landslide Susceptibility Mapping
作者： Ljubomir Gigović , Siniša Drobnjak , Dragan Pamučar
DOI: 10.3390/IJGI8020079
关键词:
摘要: The main goal of this article is to produce a landslide susceptibility map by using the hybrid Geographical Information System (GIS) spatial multi-criteria decision analysis best–worst methodology (MCDA-BWM) in western part Republic Serbia. Initially, inventory was prepared National Landslide Database, aerial photographs, and also carrying out field surveys. A total 1082 locations were detected. This considers fifteen conditioning factors that are relevant mapping: elevation, slope, aspect, distance road network, river, faults, lithology, Normalized Difference Vegetation Index (NDVI), Topographic Wetness (TWI), Stream Power (SPI), Sediment Transport (STI), annual rainfall, urban areas, land use/cover. expert evaluation takes into account nature severity observed criteria, it tested two scenarios: different aggregation methods BWM. prediction performances generated maps checked receiver operating characteristics (ROCs). validation results confirmed areas under ROC curve for weighted linear combination (WLC) ordered averaging (OWA) MCDA-BWM have very high accuracy. assessment obtained applying proposed method first step development risk management they expected be used local governments effective planning purposes.
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