The reconnaissance, mapping and analysis of kinematic features of slow-moving landslides evolving along medium-deep sliding surfaces in urban areas can be a difficult task due to the presence and interactions of/with anthropic structures/infrastructures and human activities that can conceal morphological signs of landslide activity. The paper presents an integrated approach to investigate the boundaries, type of movement, kinematics and interactions (in terms of damage severity distribution) with the built environment of a roto-translational slow-moving landslide affecting the historic centre of Lungro town (Calabria region, southern Italy). For this purpose, ancillary multi-source data (e.g. geological-geomorphological features and geotechnical properties of geomaterials), both conventional inclinometer monitoring and innovative non-invasive remote sensing (i.e. A-DInSAR) displacement data were jointly analyzed and interpreted to derive the A-DInSAR-geotechnical velocity (DGV) map of the landslide. This result was then cross-compared with detailed information available on the visible effects (i.e. crack pattern and width) on the exposed buildings along with possible conditioning factors to displacement evolution (i.e. remedial works, sub-services, etc.). The full integration of multi-source data available at the slope scale, by maximizing each contribution, provided a comprehensive outline of kinematic-geometric landslide features that were used to investigate the damage distribution and to detect, if any, anomalous locations of damage severity and relative possible causes. This knowledge can be used to manage landslide risk in the short term and, in particular, is propaedeutic to set up an advanced coupled geotechnical-structural model to simulate both the landslide displacements and the behavior of interacting buildings and, therefore, to implement appropriate risk mitigation strategies over medium/long period.

中文翻译：

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完全整合地貌、岩土、A-DInSAR 和损伤数据，以获取城市地区缓慢移动滑坡的详细几何运动学特征

由于人为结构/基础设施和人类活动的存在和相互作用，对沿城市地区中深滑动面演变的缓慢移动滑坡的运动学特征进行侦察、制图和分析可能是一项艰巨的任务滑坡活动。本文提出了一种综合方法来研究影响 Lungro 镇历史中心（卡拉布里亚地区）的旋转平移缓慢移动滑坡的建筑环境的边界、运动类型、运动学和相互作用（在损害严重程度分布方面）。意大利南部）。为此，辅助多源数据（例如地质地貌特征和岩土材料的岩土特性），对常规测斜仪监测和创新的非侵入式遥感（即 A-DInSAR）位移数据进行了联合分析和解释，以获得滑坡的 A-DInSAR-岩土速度（DGV）图。然后将该结果与有关暴露建筑物的可见影响（即裂缝模式和宽度）的详细信息以及位移演变的可能条件因素（即补救工程、子服务等）进行交叉比较。斜坡尺度上可用的多源数据的完全集成，通过最大化每个贡献，提供了运动学几何滑坡特征的全面概述，用于调查损坏分布并检测损坏严重程度和异常位置（如果有的话）相对可能的原因。