6siAfter a strong earthquake, the rapid identification of the extent of the affected area is the most crucial task of civil protection authorities. The information provided by those directly affected by an event makes the difference since it offers the opportunity to take advantage of direct observations and, in the case alert systems are available, to verify if they worked properly. Thanks to the fruitful collaboration between the Regional Civil Protection of Friuli Venezia Giulia and the National Institute of Oceanography and Applied Geophysics – OGS in Italy, a procedure for collecting rapid information about the impact of an earthquake using an expert crowdsourcing approach has been in place for some years. The volunteers of the civil p...
Social sensing is based on the idea that communities or groups of people can provide a set of inform...
The collection of web data on the effects of earthquakes and the diffusion of this information to th...
This data set contains crowdsourced classification and damage assessment of images of an earthquake ...
Crowdsourcing is the act of taking a job traditionally performed by a designated agent (usually an e...
The United Nations (UN) Sendai Framework for Disaster Risk Reduction 2015–2030 aims to mitigate natu...
Recent technological advances in computer and communication technology, as well as developments in s...
Aotearoa New Zealand's national seismic network, GeoNet, administers Felt Reports, including the Fel...
This paper describes the evolution of recent work on using crowdsourced analysis of remote sensing i...
This dataset is used to support findings in the paper "Explore the potential of using social media c...
Earthquake Network is a citizen science research project implementing an earthquake early warning sy...
Earthquake Network is a citizen science research project implementing an earthquake early warning sy...
Earthquake Network is a citizen science research project implementing an earthquake early warning sy...
The rapid increase of social media and online newspapers in the last years have given the opportunit...
Rapid appraisal of damages related to hazard events is important to first responders, government age...
This dataset is used to support findings in the paper "Explore the potential of using social media c...
Social sensing is based on the idea that communities or groups of people can provide a set of inform...
The collection of web data on the effects of earthquakes and the diffusion of this information to th...
This data set contains crowdsourced classification and damage assessment of images of an earthquake ...
Crowdsourcing is the act of taking a job traditionally performed by a designated agent (usually an e...
The United Nations (UN) Sendai Framework for Disaster Risk Reduction 2015–2030 aims to mitigate natu...
Recent technological advances in computer and communication technology, as well as developments in s...
Aotearoa New Zealand's national seismic network, GeoNet, administers Felt Reports, including the Fel...
This paper describes the evolution of recent work on using crowdsourced analysis of remote sensing i...
This dataset is used to support findings in the paper "Explore the potential of using social media c...
Earthquake Network is a citizen science research project implementing an earthquake early warning sy...
Earthquake Network is a citizen science research project implementing an earthquake early warning sy...
Earthquake Network is a citizen science research project implementing an earthquake early warning sy...
The rapid increase of social media and online newspapers in the last years have given the opportunit...
Rapid appraisal of damages related to hazard events is important to first responders, government age...
This dataset is used to support findings in the paper "Explore the potential of using social media c...
Social sensing is based on the idea that communities or groups of people can provide a set of inform...
The collection of web data on the effects of earthquakes and the diffusion of this information to th...
This data set contains crowdsourced classification and damage assessment of images of an earthquake ...