This study has been orchestrated to determine the importance of factors that influence landslides in Thua Thien Hue province, Vietnam. By using the Analytical Hierarchy Process(AHP) algorithm, the factors are used as inputs that establish a landslide susceptibility map. This map is created based on GIS technologies. The study showed that the risk of a landslide could be divided into five levels, very low, low, medium, high, and very high risk of landslide. This study could be used to support the implementation of land use planning, which would help reduce the adverse impact of landslide on people and their property.
Spatial data was collected from the department of Natural Resources and environment at a Luoi district. This includes a soil type map, topographic maps, and land use maps. Satellite images were acquired from 2005-2014 and they were used to identify vegetation covering the study area. Other data such climate and socio-economic development were included as associated data.
There were at least 20 factors that were determined to effect landslides, these can be identified depending on the landslide level. Some of them being rainfall, slope, road density, river density, aspect, and landcover.
A landslide hazard map was created in ArcGIS to be the basis of a spatial analysis approach. The maps were developed from the factors causing the landslides were analyzed. The rates of risk were classified and overlaid using the raster calculator algorithm. By analyzing the applied GIS, remote sensing, and AHP techniques. The results showed that rainfall was the most influential factor. Followed by slope, road density, river density, and aspect. Land cover and soil type were the least influential. These maps are crucial for monitoring and preventing future landslides.
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