联合光学和SAR遥感影像的山区公路滑坡易发性评价方法
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余绍淮, 徐乔, 余飞
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Method for assessing landslide susceptibility of highways in mountainous areas based on optical and SAR remote sensing images
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YU Shaohuai, XU Qiao, YU Fei
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表4 滑坡易发性评价精度统计表
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Tab.4 Landslide susceptibility evaluation accuracy statistics table
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| 类型 | 易发性等级 | 分级面积/km2 | 分级面积
占比/% | 滑坡样本分
级面积/km2 | 滑坡样本面积
分级占比/% | 频率比 | | 初始易发性分级 | 低易发区 | 34.806 4 | 60.65 | 0.967 2 | 45.43 | 0.749 1 | | 中易发区 | 11.143 8 | 19.42 | 0.372 8 | 17.51 | 0.901 6 | | 高易发区 | 7.427 7 | 12.94 | 0.323 0 | 15.18 | 1.173 1 | | 极高易发区 | 4.009 6 | 6.99 | 0.465 7 | 21.88 | 3.130 2 | | 结合形变特征的易发性分级 | 低易发区 | 33.435 2 | 58.26 | 0.689 2 | 32.37 | 0.555 6 | | 中易发区 | 11.673 4 | 20.34 | 0.396 3 | 18.62 | 0.915 4 | | 高易发区 | 7.846 2 | 13.67 | 0.474 2 | 22.28 | 1.629 8 | | 极高易发区 | 4.432 7 | 7.73 | 0.569 0 | 26.73 | 3.458 0 |
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