基于SBAS InSAR技术的叙古高速沿线滑坡识别与监测
Detection and monitoring of landslides along the Xuyong-Gulin Expressway using SBAS InSAR
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摘要: 叙永—古蔺高速公路(叙古高速)位于四川盆地南缘, 线路周边地质条件复杂, 其安全运营受到地质灾害威胁, 因此, 叙古高速沿线地质灾害的识别分析具有十分重要的意义。合成孔径雷达干涉测量(interferometric synthe-tic aperture Radar, InSAR)技术具有全天时全天候、覆盖范围大和毫米级地表形变监测的优势, 在广域滑坡识别监测中发挥了重要作用。基于此, 采用小基线集(small baseline subset, SBAS)InSAR技术对2017年2月—2020年9月Sentinel-1升降轨数据集进行处理分析, 获取叙古高速沿线地表形变速率, 共探测到包括集美滑坡等在内的18处滑坡体, 分析发现滑坡形变主要与人为活动相关。结果同时表明, 升降轨数据结合有助于更准确地识别灾害点分布。随着数据的积累与技术的不断发展, InSAR技术可以在地质灾害防治中发挥越来越重要的作用。Abstract: The Xuyong-Gulin (Xugu) Expressway, located along the southern margin of the Sichuan Basin, faces complex geological conditions, with its safe operation threatened by geologic hazards. Therefore, the identification and analysis of geologic hazards along the expressway holds great significance. Interferometric synthetic aperture Radar (InSAR) technique enjoys the advantages of all-weather, all-time observation capabilities, wide coverage, and mm-scale surface deformation monitoring, playing an important role in wide-field landslide detection and monitoring. Based on this, this study processed the Sentinel-1 ascending and descending datasets from February 2017 to September 2020 using the small baselines subset (SBAS) InSAR technique. As a result, the surface deformation rates along the expressway were determined, and 18 landslides were identified. The analysis indicates that the deformations of landslides are related to anthropogenic activities. The analytical results also reveal that the combination of ascending and descending datasets allows for more accurate identification of landslide distribution. With the continuous data accumulation and technological development, InSAR is expected to play an increasingly important role in the prevention and control of geologic disasters.
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