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Images shared on social media help crisis managers gain situational awareness and assess incurred damages, among other response tasks. As the volume and velocity of such content are typically high, real-time image classification has become…

Computer Vision and Pattern Recognition · Computer Science 2021-07-20 Firoj Alam , Tanvirul Alam , Muhammad Imran , Ferda Ofli

The success of a disaster relief and response process is largely dependent on timely and accurate information regarding the status of the disaster, the surrounding environment, and the affected people. This information is primarily provided…

Social and Information Networks · Computer Science 2017-09-11 Tahora H. Nazer , Guoliang Xue , Yusheng Ji , Huan Liu

When major disaster occurs the questions are raised how to estimate the damage in time to support the decision making process and relief efforts by local authorities or humanitarian teams. In this paper we consider the use of Machine…

Computer Vision and Pattern Recognition · Computer Science 2018-03-02 Alexey Trekin , German Novikov , Georgy Potapov , Vladimir Ignatiev , Evgeny Burnaev

Traditional post-disaster assessment of damage heavily relies on expensive GIS data, especially remote sensing image data. In recent years, social media has become a rich source of disaster information that may be useful in assessing damage…

Computer Vision and Pattern Recognition · Computer Science 2018-06-20 Xukun Li , Huaiyu Zhang , Doina Caragea , Muhammad Imran

During a disaster event, images shared on social media helps crisis managers gain situational awareness and assess incurred damages, among other response tasks. Recent advances in computer vision and deep neural networks have enabled the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-19 Firoj Alam , Ferda Ofli , Muhammad Imran , Tanvirul Alam , Umair Qazi

The extensive use of social media platforms, especially during disasters, creates unique opportunities for humanitarian organizations to gain situational awareness and launch relief operations accordingly. In addition to the textual…

Computers and Society · Computer Science 2017-04-11 Dat Tien Nguyen , Firoj Alam , Ferda Ofli , Muhammad Imran

Social media have been widely exploited to detect and gather relevant information about opinions and events. However, the relevance of the information is very subjective and rather depends on the application and the end-users. In this…

Computer Vision and Pattern Recognition · Computer Science 2019-10-11 Syed Zohaib , Kashif Ahmad , Nicola Conci , Ala Al-Fuqaha

Responding to natural disasters, such as earthquakes, floods, and wildfires, is a laborious task performed by on-the-ground emergency responders and analysts. Social media has emerged as a low-latency data source to quickly understand…

Computer Vision and Pattern Recognition · Computer Science 2020-08-24 Ethan Weber , Nuria Marzo , Dim P. Papadopoulos , Aritro Biswas , Agata Lapedriza , Ferda Ofli , Muhammad Imran , Antonio Torralba

Could social media data aid in disaster response and damage assessment? Countries face both an increasing frequency and intensity of natural disasters due to climate change. And during such events, citizens are turning to social media…

Social and Information Networks · Computer Science 2015-04-28 Yury Kryvasheyeu , Haohui Chen , Nick Obradovich , Esteban Moro , Pascal Van Hentenryck , James Fowler , Manuel Cebrian

The analysis of natural disasters such as floods in a timely manner often suffers from limited data due to a coarse distribution of sensors or sensor failures. This limitation could be alleviated by leveraging information contained in…

Information Retrieval · Computer Science 2020-03-24 Björn Barz , Kai Schröter , Moritz Münch , Bin Yang , Andrea Unger , Doris Dransch , Joachim Denzler

Multimedia content in social media platforms provides significant information during disaster events. The types of information shared include reports of injured or deceased people, infrastructure damage, and missing or found people, among…

Computer Vision and Pattern Recognition · Computer Science 2020-04-27 Ferda Ofli , Firoj Alam , Muhammad Imran

After significant earthquakes, we can see images posted on social media platforms by individuals and media agencies owing to the mass usage of smartphones these days. These images can be utilized to provide information about the shaking…

Computer Vision and Pattern Recognition · Computer Science 2022-06-09 Gaurav Chachra , Qingkai Kong , Jim Huang , Srujay Korlakunta , Jennifer Grannen , Alexander Robson , Richard Allen

Recent research in disaster informatics demonstrates a practical and important use case of artificial intelligence to save human lives and suffering during natural disasters based on social media contents (text and images). While notable…

Computer Vision and Pattern Recognition · Computer Science 2023-06-05 Firoj Alam , Tanvirul Alam , Md. Arid Hasan , Abul Hasnat , Muhammad Imran , Ferda Ofli

Rapid and accurate building damage assessments from high-resolution satellite imagery following a natural disaster is essential to inform and optimize first responder efforts. However, performing such building damage assessments in an…

Computer Vision and Pattern Recognition · Computer Science 2023-08-28 Caleb Robinson , Simone Fobi Nsutezo , Anthony Ortiz , Tina Sederholm , Rahul Dodhia , Cameron Birge , Kasie Richards , Kris Pitcher , Paulo Duarte , Juan M. Lavista Ferres

Lack of global data inventories obstructs scientific modeling of and response to landslide hazards which are oftentimes deadly and costly. To remedy this limitation, new approaches suggest solutions based on citizen science that requires…

Computer Vision and Pattern Recognition · Computer Science 2024-04-25 Ferda Ofli , Muhammad Imran , Umair Qazi , Julien Roch , Catherine Pennington , Vanessa J. Banks , Remy Bossu

Natural disasters, such as floods, tornadoes, or wildfires, are increasingly pervasive as the Earth undergoes global warming. It is difficult to predict when and where an incident will occur, so timely emergency response is critical to…

Computer Vision and Pattern Recognition · Computer Science 2022-01-13 Ethan Weber , Dim P. Papadopoulos , Agata Lapedriza , Ferda Ofli , Muhammad Imran , Antonio Torralba

Post-disaster assessments of buildings and infrastructure are crucial for both immediate recovery efforts and long-term resilience planning. This research introduces an innovative approach to automating post-disaster assessments through…

Computer Vision and Pattern Recognition · Computer Science 2025-02-21 Robinson Umeike , Thang Dao , Shane Crawford

Social media has become an essential channel for posting disaster-related information, which provide governments and relief agencies real-time data for better disaster management. However, research in this field has not received sufficient…

Social and Information Networks · Computer Science 2021-07-13 Zhijie Sasha Dong , Lingyu Meng , Lauren Christenson , Lawrence Fulton

Social media are more than just a one-way communication channel. Data can be collected, analyzed and contextualized to support disaster risk management. However, disaster management agencies typically use such added-value information to…

Social and Information Networks · Computer Science 2018-02-09 Markus Enenkel , Sofia Martinez Saenz , Denyse S. Dookie , Lisette Braman , Nick Obradovich , Yury Kryvasheyeu

Social media platforms provide active communication channels during mass convergence and emergency events such as disasters caused by natural hazards. As a result, first responders, decision makers, and the public can use this information…

Social and Information Networks · Computer Science 2015-04-17 Muhammad Imran , Carlos Castillo , Fernando Diaz , Sarah Vieweg
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