雷达数据辅助下的滑坡易发性评价

doi:10.13278/j.cnki.jjuese.20160356

摘要/Abstract

摘要： 岩土体含水量对滑坡，尤其是土质滑坡的稳定性具有极大的影响。本文以三峡库区秭归段内土质滑坡作为研究对象，利用Sentinel-1雷达数据反演地表岩土体含水量来替代传统的湿度指数因子，在保持其他因子不变的情况下，构建二元逻辑回归模型进行滑坡易发性评价。结果表明，利用成功率曲线对结果进行分析，采用岩土体含水量因子时预测精度达到80.2%，高于采用地形湿度指数的77.2%。利用雷达数据反演得到的岩土体含水量代替地形湿度指数进行滑坡易发性评价精度较高、预测能力较强。

关键词: 滑坡易发性, Sentinel-1, 水-云模型, 岩土体含水量, 逻辑回归, 雷达

Abstract: Soil moisture content has a great influence on stability of landslides, especially on a soil landslide. The aim of this study is to analyze landslide susceptibility by using soil moisture content instead of moisture index in Zigui County of the Three Gorges Reservoir area. The soil moisture content was invertedby using the Sentinel-1 data. The success rate curve showed that the prediction accuracy reached 80.2%, higher than that with the terrain wetness index of 77.2%. The results suggests that using soil moisture content can predict landslides better than using the moisture index, and it is more effective.

Key words: landslide susceptibility, Sentinel-1, water-cloud model, soil moisture content, logistic regression, SAR

中图分类号:

P642.22

赵金童, 牛瑞卿, 姚琦, 武雪玲. 雷达数据辅助下的滑坡易发性评价[J]. 吉林大学学报(地球科学版), 2018, 48(4): 1182-1191.

Zhao Jintong, Niu Ruiqing, Yao Qi, Wu Xueling. Landslide Susceptibility Assessment Aided by SAR Data[J]. Journal of Jilin University(Earth Science Edition), 2018, 48(4): 1182-1191.

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