Print Email Facebook Twitter Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions Title Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions Author Giardina, Giorgia (TU Delft Geo-engineering) Macchiarulo, V. (TU Delft Geo-engineering) Foroughnia, Fatemeh (TU Delft Geo-engineering) Jones, Joshua N. (AECOM Technology Corporation, United Kingdom) Whitworth, Michael R.Z. (AECOM Technology Corporation, United Kingdom) Voelker, Brandon (University of Houston) Milillo, Pietro (University of Houston; Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)) Penney, Camilla (University of Canterbury) Adams, Keith (Brunel University) Kijewski-Correa, Tracy (University of Notre Dame) Date 2023 Abstract Remote reconnaissance missions are promising solutions for the assessment of earthquake-induced structural damage and cascading geological hazards. Space-borne remote sensing can complement in-field missions when safety and accessibility concerns limit post-earthquake operations on the ground. However, the implementation of remote sensing techniques in post-disaster missions is limited by the lack of methods that combine different techniques and integrate them with field survey data. This paper presents a new approach for rapid post-earthquake building damage assessment and landslide mapping, based on Synthetic Aperture Radar (SAR) data. The proposed texture-based building damage classification approach exploits very high resolution post-earthquake SAR data integrated with building survey data. For landslide mapping, a backscatter intensity-based landslide detection approach, which also includes the separation between landslides and flooded areas, is combined with optical-based manual inventories. The approach was implemented during the joint Structural Extreme Event Reconnaissance, GeoHazards International and Earthquake Engineering Field Investigation Team mission that followed the 2021 Haiti Earthquake and Tropical Cyclone Grace. Subject Building damageHaitiIntensity ratio imageLandslides classificationRemote reconnaissanceRemote sensingSARTexture analysis To reference this document use: http://resolver.tudelft.nl/uuid:49c64436-d56a-4f2f-8025-efce4aac7ed1 DOI https://doi.org/10.1007/s10518-023-01716-9 ISSN 1570-761X Source Bulletin of Earthquake Engineering Part of collection Institutional Repository Document type journal article Rights © 2023 Giorgia Giardina, V. Macchiarulo, Fatemeh Foroughnia, Joshua N. Jones, Michael R.Z. Whitworth, Brandon Voelker, Pietro Milillo, Camilla Penney, Keith Adams, Tracy Kijewski-Correa Files PDF s10518_023_01716_9.pdf 11.79 MB Close viewer /islandora/object/uuid:49c64436-d56a-4f2f-8025-efce4aac7ed1/datastream/OBJ/view