Exploring the potential of social media crowdsourcing for post-earthquake damage assessment-Reference-Cited by-同舟云学术

Exploring the potential of social media crowdsourcing for post-earthquake damage assessment

Published:2023-11 Issue: Volume:98 Page:104062
ISSN:2212-4209
Container-title:International Journal of Disaster Risk Reduction
language:en
Short-container-title:International Journal of Disaster Risk Reduction

Author:

Li Lingyao^ORCID,Bensi Michelle^ORCID,Baecher Gregory

Publisher

Elsevier BV

Subject

Geology,Safety Research,Geotechnical Engineering and Engineering Geology,Building and Construction

Reference137 articles.

1. Data collection tools for post-disaster damage assessment of building and lifeline infrastructure systems;Lozano;Int. J. Disaster Risk Reduc.,2023

2. Information fusion for automated post-disaster building damage evaluation using deep neural network;Zhang;Sustain. Cities Soc.,2022

3. Exploratory analysis of barriers to effective post-disaster recovery;Rouhanizadeh;Int. J. Disaster Risk Reduc.,2020

4. Techniques of Remote Sensing and GIS for flood monitoring and damage assessment: a case study of Sindh province, Pakistan;Haq;The Egyptian Journal of Remote Sensing and Space Science,2012

5. Remote sensing vs. field survey data in a post-earthquake context: potentialities and limits of damaged building assessment datasets;Monfort;Remote Sens. Appl.: Society and Environment,2019

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