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Monitoring Buildings at Landslide Risk with SAR: A methodology based on the use of multipass interferometric data
IEEE Geoscience and Remote Sensing Magazine ( IF 14.6 ) Pub Date : 2020-03-01 , DOI: 10.1109/mgrs.2019.2963140
Carlo Noviello , Simona Verde , Virginia Zamparelli , Gianfranco Fornaro , Antonio Pauciullo , Diego Reale , Gianfranco Nicodemo , Settimio Ferlisi , Giovanni Gulla , Dario Peduto

Interferometric methods are drivers of the recent exponential growth in the use of synthetic aperture radar (SAR) for monitoring both natural and anthropogenic hazards. Since the first use of interferometric SAR (InSAR) in the late 1990s to detect deformations associated with earthquakes and volcanoes, important developments have improved sensor performance and data-processing capabilities for the extraction of information of interest in geophysical applications. Here, we describe the improvements that have enabled the 3D reconstruction and monitoring of buildings, with reference to their protection against and prevention of risks. We focus on buildings affected by systematic displacements related to natural hazards-specifically, landslides. We address the straightforward use of InSAR methods in the detection and characterization of the hazard as well as in higher-level exploitation for geotechnical and structural studies and, more generally, vulnerability analysis.

中文翻译:

使用 SAR 监测滑坡风险建筑物:一种基于使用多通道干涉测量数据的方法

干涉测量方法是最近合成孔径雷达 (SAR) 用于监测自然和人为灾害的指数增长的驱动因素。自从 1990 年代后期首次使用干涉 SAR (InSAR) 检测与地震和火山相关的变形以来,重要的发展已经提高了传感器性能和数据处理能力,以提取地球物理应用中感兴趣的信息。在这里,我们描述了使建筑物的 3D 重建和监控成为可能的改进,并参考了它们对风险的保护和预防。我们专注于受与自然灾害相关的系统性位移影响的建筑物,特别是山体滑坡。
更新日期:2020-03-01
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