Library
local_library Home Repository

Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions

Journal Article (2023)
Author(s)

Giorgia Giardina (TU Delft - Geo-engineering)

V. Macchiarulo (TU Delft - Geo-engineering)

Fatemeh Foroughnia (TU Delft - Geo-engineering)

Joshua N. Jones (AECOM - Plymouth)

Michael R.Z. Whitworth (AECOM - Plymouth)

Brandon Voelker (University of Houston)

Pietro Milillo (University of Houston, Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Camilla Penney (University of Canterbury)

Keith Adams (Brunel University)

Tracy Kijewski-Correa (University of Notre Dame)

Geo-engineering
Copyright
© 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
DOI related publication
https://doi.org/10.1007/s10518-023-01716-9
More Info
expand_more
Publication Year
2023
Language
English
Copyright
© 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
Geo-engineering
Issue number
7
Volume number
22
Pages (from-to)
3415-3439
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.