Book ChapterDOI
Using Social Media and Satellite Data for Damage Assessment in Urban Areas During Emergencies
Guido Cervone,Guido Cervone,Emily Schnebele,Nigel Waters,Martina Moccaldi,Rosa Sicignano +5 more
- pp 443-457
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TLDR
In this article, the authors mined data from social media to fill the gaps in remote sensing observations, due to specific limitations of the instruments, their carrier platforms, or as a result of atmospheric interference.Abstract:
Environmental hazards pose a significant threat to urban areas due to their potential catastrophic consequences affecting people, property and the environment. Remote sensing has become the de-facto standard for observing the Earth and its environment through the use of air-, space-, and ground-based sensors. Despite the quantity of remote sensing data available, gaps are often present due to the specific limitations of the instruments, their carrier platforms, or as a result of atmospheric interference. Massive amounts of data are generated from social media, and it is possible to mine these data to fill the gaps in remote sensing observations.read more
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Journal ArticleDOI
Social-media data for urban sustainability
TL;DR: In this paper, the authors discuss challenges and opportunities for the use of social media data in sustainability research and practice at the city level, and identify useful directions for future research, and suggest that solutions to most SMD challenges already exist.
Journal ArticleDOI
Social media for intelligent public information and warning in disasters: An interdisciplinary review
TL;DR: The author envisions the intelligent public information and warning in disaster based on social media, which has three functions: efficiently and effectively acquiring disaster situational awareness information, supporting self-organized peer-to-peer help activities, and enabling the disaster management agencies to hear from the public.
Journal ArticleDOI
Big Earth data: disruptive changes in Earth observation data management and analysis?
Martin Sudmanns,Dirk Tiede,Stefan Lang,Helena Bergstedt,Georg Trost,Hannah Augustin,Andrea Baraldi,Thomas Blaschke +7 more
TL;DR: It is argued that the altered circumstances must be actively intercepted by an evolution of EO to revolutionise their application in various domains.
Journal ArticleDOI
Feasibility study of using crowdsourcing to identify critical affected areas for rapid damage assessment: Hurricane Matthew case study
Faxi Yuan,Rui Liu +1 more
TL;DR: In this article, a correlation analysis and a comparative analysis of the geographic distribution of social media data and damage data at the county level in Florida was performed to identify critical affected areas during hurricanes.
Journal ArticleDOI
Using Location-Based Social Media Data to Observe Check-In Behavior and Gender Difference: Bringing Weibo Data into Play
TL;DR: The results reveal that female users have a high rate of social media use, and significant difference is observed in check-in behavior during weekdays and weekends in the studied districts of Shanghai, China, suggesting that LBSN data can be helpful to observe gender difference.
References
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Pattern recognition and neural networks
Brian D. Ripley,N. L. Hjort +1 more
TL;DR: Professor Ripley brings together two crucial ideas in pattern recognition; statistical methods and machine learning via neural networks in this self-contained account.
Journal ArticleDOI
Citizens as sensors: the world of volunteered geography
TL;DR: In recent months, there has been an explosion of interest in using the Web to create, assemble, and disseminate geographic information provided voluntarily by individuals as mentioned in this paper, and the role of the amateur in geographic observation has been discussed.
Pattern Recognition and Neural Networks
TL;DR: Title Type pattern recognition with neural networks in c++ PDF pattern recognition and neural networks PDF Neural networks for pattern recognition advanced texts in econometrics PDF neural networks for applied sciences and engineering from fundamentals to complex pattern recognition PDF
Proceedings ArticleDOI
Microblogging during two natural hazards events: what twitter may contribute to situational awareness
TL;DR: Analysis of microblog posts generated during two recent, concurrent emergency events in North America via Twitter, a popular microblogging service, aims to inform next steps for extracting useful, relevant information during emergencies using information extraction (IE) techniques.