Print Email Facebook Twitter Quantitative assessment of earthquake-induced building damage at regional scale using LiDAR data Title Quantitative assessment of earthquake-induced building damage at regional scale using LiDAR data Author Foroughnia, Fatemeh (TU Delft Geo-engineering) Macchiarulo, V. (TU Delft Geo-engineering) Berg, Luis (University of California) DeJong, Matthew (University of California) Milillo, Pietro (University of Houston; Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)) Hudnut, Kenneth W. (Southern California Edison) Gavin, Kenneth (TU Delft Geo-engineering) Giardina, Giorgia (TU Delft Geo-engineering) Date 2024 Abstract Regional-scale assessment of the damage caused by earthquakes to structures is crucial for post-disaster management. While remote sensing techniques can be of great help for a quick post-event structural assessment of large areas, currently available methods are limited to the detection of severely-damaged buildings. Furthermore, remote sensing-based assessment methods typically provide only qualitative results, as they lack integration with information on the building's behaviour in response to seismic-induced ground shaking. In this study, we developed a new methodology that uses airborne Light Detection And Ranging (LiDAR) data in combination with structural indicators of building response to provide a quantitative assessment of earthquake-induced damage at a regional scale. LiDAR datasets collected before and after an earthquake are used to measure residual displacements of building roofs. The resulting lateral drift estimations are used to quantify the level of damage for a specific building typology. Application to the LiDAR datasets collected before and after the 2014 earthquake in Napa Valley, California, demonstrates the capability of the proposed method to detect moderate levels of structural damage, proving its potential for faster and more accurate support to post-disaster management. Subject Airborne Light Detection and Ranging (LiDAR)Building damageDamage assessmentDisaster managementEarthquakeRemote sensing (RS) To reference this document use: http://resolver.tudelft.nl/uuid:b121665d-d269-41f2-9446-eb65b7e541c3 DOI https://doi.org/10.1016/j.ijdrr.2024.104403 ISSN 2212-4209 Source International Journal of Disaster Risk Reduction, 106 Part of collection Institutional Repository Document type journal article Rights © 2024 Fatemeh Foroughnia, V. Macchiarulo, Luis Berg, Matthew DeJong, Pietro Milillo, Kenneth W. Hudnut, Kenneth Gavin, Giorgia Giardina Files PDF 1-s2.0-S2212420924001651-main.pdf 4.51 MB Close viewer /islandora/object/uuid:b121665d-d269-41f2-9446-eb65b7e541c3/datastream/OBJ/view