Remote sensing identification and susceptibility evaluation of landslide hazards in Wenchuan-Songpan section of National Highway 213
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摘要: 国道213汶川—松潘段位于强震山区,滑坡灾害频发,每年都会因滑坡灾害导致交通中断,迫切需要查明沿线滑坡隐患的空间分布,并对其易发性进行评价。利用光学遥感和InSAR综合遥感技术对沿线滑坡隐患进行识别,共识别滑坡隐患288处,其中InSAR探测出有形变的滑坡隐患点27处。以识别出的滑坡隐患为评价样本,选取高程、坡度、坡向、地表曲率、工程地质岩组、归一化植被指数(normalizied difference vegetation index,NDVI)、距道路距离、距河流距离、距断层距离等9个影响因素作为评价因子,采用Logistic回归模型评价该沿线滑坡隐患易发性,评价结果可为国道213汶川—松潘段滑坡灾害防治提供参考。
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关键词:
- 国道213 /
- 滑坡隐患 /
- 遥感识别 /
- Logistic回归模型 /
- 易发性评价
Abstract: The Wenchuan-Songpan section of National Highway 213 is located in a mountainous area with strong earthquakes, where the landslide disasters occurred frequently. The traffic in this area is interrupted every year due to landslide disasters, so it is urgent to identify the space distribution of landslide hazards along the line and evaluate the susceptibility. A total of 288 landslide hazards were identified by the optical remote sensing and InSAR integrated remote sensing technology, of which 27 deformation landslide hazards were detected by InSAR. The identified landslide hazards were set as evaluation samples, and 9 influences including elevation, slope, slope aspect, surface curvature, engineering geological rock group, normalized vegetation index (NDVI), distance from road, distance from river, and distance from fault were selected. Besides, the logistic regression model is used to evaluate the susceptibility of landslide hazards in highway corridors. The evaluation results can provide a reference for the prevention and control of landslide disasters in the Wenchuan-Songpan section of National Highway 213. -
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