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DC Field | Value | Language |
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dc.contributor.author | Giardina, G | - |
dc.contributor.author | Macchiarulo, V | - |
dc.contributor.author | Foroughnia, F | - |
dc.contributor.author | Jones, JN | - |
dc.contributor.author | Whitworth, MRZ | - |
dc.contributor.author | Voelker, B | - |
dc.contributor.author | Milillo, P | - |
dc.contributor.author | Penney, C | - |
dc.contributor.author | Adams, K | - |
dc.contributor.author | Kijewski-Correa, T | - |
dc.date.accessioned | 2023-09-07T07:17:55Z | - |
dc.date.available | 2023-09-07T07:17:55Z | - |
dc.date.issued | 2023-06-30 | - |
dc.identifier | ORCID iDs: Giorgia Giardina https://orcid.org/0000-0002-5996-5830; Keith Adams https://orcid.org/0000-0002-4945-3188. | - |
dc.identifier.citation | Giardina, G. et al. (2023) 'Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions', Bulletin of Earthquake Engineering, 0 (ahead-of-print), pp. 1 - 23. doi: 10.1007/s10518-023-01716-9. | en_US |
dc.identifier.issn | 1570-761X | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/27132 | - |
dc.description.abstract | Copyright © The Author(s) 2023. 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. | en_US |
dc.description.sponsorship | VM was supported by the Dutch Research Council (NWO), project OCENW.XS5.114. StEER and GHI Data collection was supported by the National Science Foundation (NSF) under Grant CMMI-1841667, the U.S. Geological Survey (USGS) and the U.S. Agency for International Development (USAID), under USGS Cooperative Agreement No. G21AC10343-00 and USAID Award AID-OFDA-T-16-00001, under lead investigator Janise Rodgers. | en_US |
dc.format.extent | 1 - 23 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Springer Nature | en_US |
dc.rights | Copyright © The Author(s) 2023. Rights and permissions: Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/. | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | remote reconnaissance | en_US |
dc.subject | remote sensing | en_US |
dc.subject | Haiti | en_US |
dc.subject | building damage | en_US |
dc.subject | landslides classification | en_US |
dc.subject | SAR | en_US |
dc.subject | texture analysis | en_US |
dc.subject | intensity ratio image | en_US |
dc.title | Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1007/s10518-023-01716-9 | - |
dc.relation.isPartOf | Bulletin of Earthquake Engineering | - |
pubs.issue | ahead-of-print | - |
pubs.publication-status | Published online | - |
pubs.volume | 0 | - |
dc.identifier.eissn | 1573-1456 | - |
dc.rights.holder | The Author(s) | - |
Appears in Collections: | Dept of Civil and Environmental Engineering Research Papers |
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