在江流域使用SBAS-InSAR检测和评估潜在的山体滑坡
Jianming Zhang1,2,3, Xiaoqing Zuo4,5,6, Yongfa Li1,2,3
1Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, 650093, China.
Scientific reports
|May 9, 2025
概括
干涉测量合成孔径雷达 (InSAR) 在江流域发现了59起潜在的山体滑坡,揭示了降雨是关键的破坏稳定的因素. 这种先进的监测技术为山体滑坡缓解策略提供了关键的见解.
科学领域:
- 地质科学 地质科学
- 遥感 遥感 遥感 遥感
- 自然危害 自然危害
背景情况:
- 江河流域面临着严重的山体滑坡和碎片流动风险,由于其地质和人类活动.
- 传统的测量方法在该地区不足以进行大规模的山体滑坡识别.
- 干涉测量合成孔径雷达 (InSAR) 提供了用于大面积地形变形监测的先进功能.
研究的目的:
- 使用InSAR技术识别和描述江流域的山体滑坡.
- 分析2014年至2018年期间潜在的山体滑坡的分布和活动.
- 为了研究降雨和山体滑坡变形之间的关系.
主要方法:
- 2014-2018年使用小基线子集INSAR (SBAS-InSAR) 技术处理Sentinel-1A卫星上升和下降的SAR图像.
- 多向变形分析以检测表面位移.
- 与现有的山体滑坡清单和现场调查数据进行比较.
- 使用几何扭曲和监测灵敏度模型评估InSAR测量准确度.
主要成果:
- 在江河流域确定了59个潜在的山体滑坡,覆盖面积约为55.91平方公里.
- 发现了34个新的山体滑坡,此外还有25个以前记录的山体滑坡.
- 证实长时间降雨是滑坡不稳定的主要驱动因素.
- 验证InSAR测量的准确性.
结论:
- SBAS-InSAR有效地识别了许多山体滑坡,并提供了对其在江流域的活动的见解.
- 降雨是导致该地区山体滑坡风险的一个重要因素.
- 这项研究增强了对山体滑坡动态的理解,并支持未来的缓解努力.
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