Interferometric Synthetic Aperture Radar (InSAR) enables detailed investigation of surface landslide movements, but it cannot provide information about subsurface structures. In this work, InSAR measurements were integrated with seismic noise in situ measurements to analyse both the surface and subsurface characteristics of a complex slow-moving landslide exhibiting multiple failure surfaces. The landslide body involves a town of around 6000 inhabitants, Villa de la Independencia (Bolivia), where extensive damages to buildings have been observed. To investigate the spatial-temporal characteristics of the landslide motion, Sentinel-1 displacement time series from October 2014 to December 2019 were produced. A new geometric inversion method is proposed to determine the best-fit sliding direction and inclination of the landslide. Our results indicate that the landslide is featured by a compound movement where three different blocks slide. This is further evidenced by seismic noise measurements which identified that the different dynamic characteristics of the three sub-blocks were possibly due to the different properties of shallow and deep slip surfaces. Determination of the slip surface depths allows for estimating the overall landslide volume (9.18 · 10⁷ m³). Furthermore, Sentinel-1 time series show that the landslide movements manifest substantial accelerations in early 2018 and 2019, coinciding with increased precipitations in the late rainy season which are identified as the most likely triggers of the observed accelerations. This study showcases the potential of integrating InSAR and seismic noise techniques to understand the landslide mechanism from ground to subsurface.

干涉式合成孔径雷达（InSAR）可以对表面滑坡运动进行详细研究，但无法提供有关地下结构的信息。在这项工作中，InSAR测量与地震噪声原位测量相结合，以分析具有多个破坏面的复杂的缓慢移动滑坡的地表和地下特征。滑坡体涉及一个约有6000名居民的小镇，独立别墅（玻利维亚），据观察该建筑物遭到了广泛破坏。为了研究滑坡运动的时空特征，编制了2014年10月至2019年12月的Sentinel-1位移时间序列。提出了一种新的几何反演方法来确定滑坡的最佳拟合滑动方向和倾角。我们的结果表明，滑坡的特征是复合运动，其中三个不同的块都滑动。地震噪声测量结果进一步证明了这一点，该测量结果确定了三个子块的不同动态特性可能是由于浅，深滑动面的不同特性所致。确定滑坡深度可估算滑坡的总体积（9.18·10⁷ m ³）。此外，Sentinel-1时间序列显示，滑坡运动在2018年初和2019年初表现出明显的加速，与雨季后期的降雨增加相吻合，这被认为是观测到的加速作用的最可能触发因素。这项研究展示了结合InSAR和地震噪声技术来理解从地面到地下的滑坡机理的潜力。