一种改进的SBAS-InSAR处理方法,考虑相位一致性:应用于中国青海省黄龙县的山体滑坡监测
Wulinhong Luo1, Bo Liu1,2,3, Guangcai Feng1
1School of Geosciences and Info-Physics, Central South University, Changsha 410083, China.
Sensors (Basel, Switzerland)
|January 28, 2026
概括
本研究介绍了NCP-SBAS,这是一种改进的时间序列InSAR分析方法,可以强制执行相位一致性. 这种方法提高了变形检索的准确性,这对于地质危险监测至关重要.
科学领域:
- 地质测量是指地质测量.
- 遥感 遥感 遥感 遥感
- 地球科学 地球科学 地球科学
背景情况:
- 高精度时间序列交叉测量合成孔径雷达 (InSAR) 的变形检索依赖于相位一致性.
- 传统的小基线子集INSAR (SBAS-InSAR) 方法在逆转过程中无法充分解决相一致性.
- 阶段不一致,指的是非零关闭阶段 (NCP),源于色偏差和解封错误.
研究的目的:
- 引入一个改进的SBAS-InSAR工作流程 (NCP-SBAS),强制执行相一致性,以准确地估计变形场.
- 通过纠正NCP来提高InSAR在地质危险监测中的适用性.
- 分析色偏差和解封错误对变形估计和滑坡监测的影响.
主要方法:
- 开发了NCP-SBAS工作流程,将阶段一致性作为一个约束.
- 共同建模的色偏差和变形信号的时空特征.
- 应用NCP-SBAS到青海省黄龙县,用于NCP校正前后的变形分析.
主要成果:
- NCP-SBAS有效地纠正非零关闭阶段 (NCP),提高了变形估计的准确性.
- 色偏差影响基于大小和方向的变形估计.
- 打开包装的错误往往会导致低估变形,影响滑坡监测.
结论:
- 该NCP-SBAS方法显著提高了InSAR变形检索精度.
- 精确的相位一致性校正对于使用InSAR的可靠地质危险监测至关重要.
- 了解色偏差和解封错误的不同影响对于解释InSAR衍生变形至关重要,特别是在山体滑坡中.
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