Monitoring Buildings at Landslide Risk With SAR: A Methodology Based on the Use of Multipass Interferometric Data
| Autor: | Virginia Zamparelli, Gianfranco Nicodemo, Settimio Ferlisi, Diego Reale, Dario Peduto, Carlo Noviello, Gianfranco Fornaro, Simona Verde, Giovanni Gullà, Antonio Pauciullo |
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| Rok vydání: | 2020 |
| Předmět: |
Synthetic aperture radar
010504 meteorology & atmospheric sciences General Computer Science Satellites 0211 other engineering and technologies 02 engineering and technology 01 natural sciences Vulnerability assessment Interferometric synthetic aperture radar Buildings Electrical and Electronic Engineering Instrumentation 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing Hazards Landslide Hazard Interferometry Remote monitoring Terrain factors General Earth and Planetary Sciences Environmental science Focus (optics) |
| Zdroj: | Geoscience and Remote Sensing Magazine, IEEE 8 (2020): 91–119. doi:10.1109/MGRS.2019.2963140 info:cnr-pdr/source/autori:Noviello, Carlo; Verde, Simona; Zamparelli, Virginia; Fornaro, Gianfranco; Pauciullo, Antonio; Reale, Diego; Nicodemo, Gianfranco; Ferlisi, Settimio; Gulla, Giovanni; Peduto, Dario/titolo:Monitoring Buildings at Landslide Risk With SAR: A Methodology Based on the Use of Multipass Interferometric Data/doi:10.1109%2FMGRS.2019.2963140/rivista:Geoscience and Remote Sensing Magazine, IEEE/anno:2020/pagina_da:91/pagina_a:119/intervallo_pagine:91–119/volume:8 |
| ISSN: | 2373-7468 2473-2397 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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