Earthquake Reconnaissance Data Sources, a Literature Review
1
Main Building, School of Earth and Environmental Sciences, College of Physical Sciences and Engineering, Cardiff University, Park Place, Cardiff CF10 3AT, UK
2
Drummond Building, School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
3
Urban Sciences Building, Newcastle Helix, School of Engineering, Newcastle University, Newcastle upon Tyne NE4 5TG, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Teodosio Lacava
Earth 2021, 2(4), 1006-1037; https://doi.org/10.3390/earth2040060
Received: 1 October 2021
/
Revised: 5 November 2021
/
Accepted: 8 November 2021
/
Published: 23 November 2021
Earthquakes are one of the most catastrophic natural phenomena. After an earthquake, earthquake reconnaissance enables effective recovery by collecting data on building damage and other impacts. This paper aims to identify state-of-the-art data sources for building damage assessment and provide guidance for more efficient data collection. We have reviewed 39 articles that indicate the sources used by different authors to collect data related to damage and post-disaster recovery progress after earthquakes between 2014 and 2021. The current data collection methods have been grouped into seven categories: fieldwork or ground surveys, omnidirectional imagery (OD), terrestrial laser scanning (TLS), remote sensing (RS), crowdsourcing platforms, social media (SM) and closed-circuit television videos (CCTV). The selection of a particular data source or collection technique for earthquake reconnaissance includes different criteria depending on what questions are to be answered by these data. We conclude that modern reconnaissance missions cannot rely on a single data source. Different data sources should complement each other, validate collected data or systematically quantify the damage. The recent increase in the number of crowdsourcing and SM platforms used to source earthquake reconnaissance data demonstrates that this is likely to become an increasingly important data source.
View Full-Text
Keywords:
earthquake reconnaissance; fieldwork surveys; closed-circuit television videos (CCTV); remote sensing (RS); crowdsourcing platforms; social media (SM)
▼
Show Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
-
Externally hosted supplementary file 1
Doi: 10.20944/preprints202106.0714.v2
Link: https://www.preprints.org/manuscript/202106.0714/v2
Description: Contreras Mojica, D.M.; Wilkinson, S.; James, P. Earthquakes Reconnaissance Data Sources, a Literature Review. Preprints 2021, 2021060714. Written permissions from authors are added as supplementary files.
MDPI and ACS Style
Contreras, D.; Wilkinson, S.; James, P. Earthquake Reconnaissance Data Sources, a Literature Review. Earth 2021, 2, 1006-1037. https://doi.org/10.3390/earth2040060
AMA Style
Contreras D, Wilkinson S, James P. Earthquake Reconnaissance Data Sources, a Literature Review. Earth. 2021; 2(4):1006-1037. https://doi.org/10.3390/earth2040060
Chicago/Turabian StyleContreras, Diana, Sean Wilkinson, and Philip James. 2021. "Earthquake Reconnaissance Data Sources, a Literature Review" Earth 2, no. 4: 1006-1037. https://doi.org/10.3390/earth2040060
Find Other Styles
