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首页> 外文会议>Asian conference on remote sensingACRS >A MULTI-CRITERION APPROACH FOR LANDSLIDE SUSCEPTIBILITY MAPPING USING ANALYTICAL HIERARCHY PROCESS: A CASE STUDY IN MANIPUR, INDIA
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A MULTI-CRITERION APPROACH FOR LANDSLIDE SUSCEPTIBILITY MAPPING USING ANALYTICAL HIERARCHY PROCESS: A CASE STUDY IN MANIPUR, INDIA

机译：使用分析层次处理的滑坡易感性映射的多标准方法 - 以印度曼皮尔

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Landslides are one of the major natural hazards accounting each year for enormous economic loss and loss of life. The probability of landslides is highest along mountain roads that causes hurdles in traffics and also cause congestion. A landslide susceptibility map presents areas with the potential of landslides in the future by combining factors that contributed to the occurrences of past landslides. The aim of this study is to evaluate the susceptibility of landslide along a highway passing through Noney area, Manipur, India with respect to identified factors that influence the occurrence of landslides such as slope, land use land cover (LULC), Normalized Difference Vegetation Index (NDVI), Normalized Difference Mid Red (NDMIDR) index, Normalized Difference Mid Infra-red (NDMIDIR) index and Geology. Geographical Information System (GIS) based Analytical Hierarchy Process (AHP) is adopted for the landslide susceptibility mapping of the region. A landslide inventory of 43 landslides was created using past landslide records collected from field investigations. Analyzing the past landslides record and influencing factors, the importance of each parameters were determined and weightage were assigned based on AHP for generating the susceptibility zone map. The landslide susceptibility map was compared with the landslide occurrence locations as an approach to check the accuracy of the model output. The overlay of the known landslide locations with the susceptibility map revealed that the output maps are in good agreement with the landslide locations as 48.83% of the landslide locations fall under the very high susceptible zone; 27.91% and 23.25% falls under high and moderate susceptible zones respectively.
机译：山体滑坡是每年占巨大经济损失和生命丧失的主要自然灾害之一。山上滑坡的概率沿着山路最高，导致流量障碍并引起拥堵。通过组合导致过去山体滑坡的发生的因素，山体滑坡易感性图在未来潜在的区域。本研究的目的是沿着通过Noney地区，Indipur，Indipur的公路评估Landslide沿着Noney地区的识别因素，这些因素影响了影响坡度，土地利用陆地覆盖（LULC），归一化差异植被指数（NDVI），归一化差中红色（NDMIDR）指数，归一化差异中红外（Ndmidir）指数和地质。基于地理信息系统（GIS）基于地理的分析层次处理（AHP）用于该地区的滑坡敏感性映射。使用从现场调查中收集的过去的滑坡记录创建了43个山体滑坡的滑坡库存。分析过去的滑坡记录和影响因素，确定了每个参数的重要性，并基于AHP分配重量，以产生易感区地图。将滑坡敏感性图与滑坡发生位置相比，作为检查模型输出精度的方法。具有易感性图的已知滑坡位置的覆盖显示，输出图与滑坡位置吻合良好，因为48.83％的滑坡位置下降在非常高的易感区下; 27.91％和23.25％分别下降，分别为高易感区。

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