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时序InSAR在识别阳朔县潜在滑坡中的应用

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利用阳朔县2018 年1 月—2019 年12 月的30 景哨兵-1A(Sentinel-1A)数据,采用短基线集合成孔径雷达干涉测量技术(SBAS-InSAR)和永久散射体合成孔径雷达干涉测量技术(PS-InSAR)提取阳朔县地表形变.结果表明,SBAS-InSAR监测形变速率为-20.1~16.7 mm/a,PS-InSAR监测形变速率为-24.4~24.6 mm/a,两种方法得到的结果较为一致.滑坡隐患主要分布在公路沿线边坡和乡村山岭人为开采地带,沉降多受生产建设等人为活动影响,加之地质结构较为复杂的特点,在持续降雨的影响下,加速下沉.该案例证明了InSAR作为新兴雷达测量手段,可以准确高效地识别丘陵山区滑坡隐患.
Application of time series InSAR in identifying potential landslide in Yangshuo County
The surface deformation of Yangshuo County is extracted by small baselines subset interferometry syn-thetic aperture radar(SBAS-InSAR)and persistent scatterer interferometry synthetic aperture radar(PS-InSAR)based on 30 Sentinel-1A views covering Yangshuo County from January 2018 to December 2019.The results show that the deformation rate monitored by SBAS is from-20.1 to 16.7 mm/a,and that monitored by PS is from-24.4 to 24.6 mm/a.The results obtained by the two methods are consistent.Landslide hazards are mainly distributed in highway side slope and rural mountains which are exploited by human beings.The subside is mostly affected by human activities such as production and construction.Because of the geological character-istics of complex structure in Guangxi,the influence of continuous rainfall may accelerate the subsidence.This case can provide effective data and technical support for disaster prevention and reduction in Yangshuo,and provide ideas and reference for landslide monitoring and analysis in hills and mountainous areas.It also proves that interferometric synthetic aperture radar,as a new radar measurement means,can accurately and efficiently identify landslide hazards in the area.

SBAS-InSARPS-InSARpotential landslidesurface deformationYangshuo County

朱军桃、代程远、刘玉升、林知宇

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桂林理工大学 测绘地理信息学院,广西 桂林 541006

桂林理工大学 广西空间信息与测绘重点实验室,广西 桂林 541006

SBAS-InSAR PS-InSAR 潜在滑坡 地表形变 阳朔

国家自然科学基金项目

41461089

2024

桂林理工大学学报
桂林理工大学

桂林理工大学学报

CSTPCD北大核心
影响因子:0.618
ISSN:1674-9057
年,卷(期):2024.44(2)