首页|基于PS/DSInSAR的云南德钦县滑坡变形监测

基于PS/DSInSAR的云南德钦县滑坡变形监测

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滑坡是我国最严重的地质灾害之一.针对常规MTInSAR技术在开展滑坡形变监测时面临的监测点密度不足、监测精度受限及滑坡解译受阻的问题,提出一种有效融合PS及DS点的PS/DSInSAR技术.首先,开展HTCI同质像素识别及相干性n次幂加权的相位优化处理,并筛选DS候选点;然后,将其与振幅离差获取的PS点进行融合并筛选高质量监测点,通过对监测点的相位解译提取滑坡形变信息.以云南省德钦县为研究区开展相关滑坡监测分析.实验结果表明,PS/DSInSAR技术获取的监测点密度较常规的StaMPS-SBAS技术提升了约14倍,可以更精准地识别滑坡边界及开展时序演化分析,且分析表明,研究区滑坡与季节性降雨具有显著的相关性.
Deformation Monitoring of Landslide in Deqin County,Yunnan Province Based on PS/DSInSAR Technique
Landslide is one of the most serious geological disasters in China.In response to the problems the conventional MTInSAR technique faces in monitoring landslide deformation,such as insufficient monitoring point density,limited monitoring accuracy,and difficulty in landslide interpretation,a PS/DSInSAR technique that effectively integrates PS and DS points is proposed.Firstly,the proposed technique carries out HTCI homogeneous pixel recognition and phase optimization processing with coherence n-power weighting and obtains DS candidate points.Then,it fuses them with PS points obtained from amplitude deviation and screens high-quality monitoring points.Finally,the landslide deformation information is extracted through phase interpretation of monitoring points.Taking Deqin county,Yunnan province,as the study area,relevant landslide monitoring and analysis are conducted.The experimental results show that the density of monitoring points obtained by the PS/DSInSAR technique increases by about 14 times compared to the conventional StaMPS-SBAS technique,which can more accurately identify landslide boundaries and conduct temporal evolution analysis.And analysis shows a significant correlation between landslides and seasonal rainfall in the study area.

InSARdistributed scattererpersistent scattererlandslide monitoringseasonal rainfall

周仿荣、马朋序、文刚、高瑞

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云南电网有限责任公司电力科学研究院,昆明 650217

济南市勘察测绘研究院,济南 250101

山东省农业科学院,济南 250100

InSAR 分布式散射体 永久性散射体 滑坡监测 季节性降雨

中国南方电网云南电网有限责任公司科技项目

YNKJXM20220151

2024

遥感信息
科学技术部国家遥感中心,中国测绘科学研究院

遥感信息

CSTPCD北大核心
影响因子:0.712
ISSN:1000-3177
年,卷(期):2024.39(1)
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