Recent advances in satellite geodesy have improved our ability to map and monitor landslides globally with unprecedented resolution. Differential interferometry of space-borne synthetic aperture radar (DInSAR) imagery plays a major role in identifying surface displacements associated with slope instabilities and monitoring their spatiotemporal evolution. However, this technique involves several constraints that should be considered when approaching systematic and operational landslide monitoring. This work demonstrates how the effects of DInSAR temporal phase aliasing may hinder the analysis of accelerating slope deformations in alpine landslides. After defining a general framework considering the currently available satellites for DInSAR investigations, a specific accelerating slope deformation example is discussed. This study provides scientists and practitioners with important insights regarding the application of multitemporal space-borne DInSAR in systematic and/or automatic monitoring frameworks that may involve early warning applications at both local and regional scales.

卫星大地测量学的最新进展提高了我们以前所未有的分辨率在全球范围内绘制和监测滑坡的能力。星载合成孔径雷达（DInSAR）图像的差分干涉测量法在识别与边坡不稳定性相关的表面位移并监测其时空演变方面起着重要作用。但是，在进行系统的和运行的滑坡监测时，该技术涉及一些约束条件。这项工作证明了DInSAR时相混叠的影响如何可能会阻碍分析高山滑坡的加速边坡变形。在考虑了目前可用于DInSAR研究的卫星定义了总体框架之后，讨论了一个具体的加速坡度变形示例。