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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

Disaster events often unfold rapidly, necessitating a swift and effective response. Developing action plans, resource allocation, and resolution of help requests in disaster scenarios is time-consuming and complex since disaster-relevant…

Computers and Society · Computer Science 2024-09-04 Samia Abid , Bhupesh Kumar Mishra , Dhavalkumar Thakker , Nishikant Mishra

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

Rapid damage assessment is one of the core tasks that response organizations perform at the onset of a disaster to understand the scale of damage to infrastructures such as roads, bridges, and buildings. This work analyzes the usefulness of…

Social and Information Networks · Computer Science 2020-04-15 Muhammad Imran , Firoj Alam , Umair Qazi , Steve Peterson , Ferda Ofli

Natural disasters not only cause large-scale physical destruction, but also cascading social consequences that are difficult to quantify with traditional surveys and reports. Social media platforms offer an alternative perspective that…

Social and Information Networks · Computer Science 2026-05-21 Ruichen Yao , Tejna Dasari , Xuanyu Meng , Elliot Cao , Zelin Li , Yifan Liu , Yaokun Liu , Lanyu Shang , Dong Wang

High-resolution satellite imagery available immediately after disaster events is crucial for response planning as it facilitates broad situational awareness of critical infrastructure status such as building damage, flooding, and…

Computer Vision and Pattern Recognition · Computer Science 2021-11-09 Danil Kuzin , Olga Isupova , Brooke D. Simmons , Steven Reece

Sentiment analysis aims to extract and express a person's perception, opinions and emotions towards an entity, object, product and a service, enabling businesses to obtain feedback from the consumers. The increasing popularity of the social…

Computer Vision and Pattern Recognition · Computer Science 2020-02-11 Kashif Ahmad , Syed Zohaib , Nicola Conci , Ala Al-Fuqaha

In this paper, we study the problem of efficiently assessing building damage after natural disasters like hurricanes, floods or fires, through aerial video analysis. We make two main contributions. The first contribution is a new dataset,…

Computer Vision and Pattern Recognition · Computer Science 2021-01-05 Xiaoyu Zhu , Junwei Liang , Alexander Hauptmann

Natural disasters cause devastating damage to communities and infrastructure every year. Effective disaster response is hampered by the difficulty of accessing affected areas during and after events. Remote sensing has allowed us to monitor…

Computer Vision and Pattern Recognition · Computer Science 2025-07-23 Shreelekha Revankar , Utkarsh Mall , Cheng Perng Phoo , Kavita Bala , Bharath Hariharan

We present longitudinal analysis of the evolution of inter-organizational disaster coordination networks during natural disasters. We suggest that social networks are a useful paradigm for exploring this complex phenomenon from both…

Social and Information Networks · Computer Science 2015-03-31 Alireza Abbasi , Liaquat Hossain , Naim Kapucu

Assessing the impact of a disaster in terms of asset losses and human casualties is essential for preparing effective response plans. Traditional methods include offline assessments conducted on the ground, where volunteers and first…

Machine Learning · Computer Science 2025-09-16 Saketh Vishnubhatla , Ujun Jeong , Bohan Jiang , Paras Sheth , Zhen Tan , Adrienne Raglin , Huan Liu

In recent years, we have been faced with a series of natural disasters causing a tremendous amount of financial, environmental, and human losses. The unpredictable nature of natural disasters' behavior makes it hard to have a comprehensive…

Social and Information Networks · Computer Science 2019-03-08 Amir Karami , Vishal Shah , Reza Vaezi , Amit Bansal

Recent natural disasters have highlighted the urgent need for efficient data-driven approaches to disaster management. Machine learning (ML) and deep learning (DL) techniques have shown considerable promise in enhancing the key phases of…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Alain P. Ndigande , Josiah Wiggins , Sedat Ozer

Earthquakes and tropical cyclones cause the suffering of millions of people around the world every year. The resulting landslides exacerbate the effects of these disasters. Landslide detection is, therefore, a critical task for the…

Computer Vision and Pattern Recognition · Computer Science 2019-10-17 Masanari Kimura

Real-time social media data can provide useful information on evolving hazards. Alongside traditional methods of disaster detection, the integration of social media data can considerably enhance disaster management. In this paper, we…

Social and Information Networks · Computer Science 2023-01-31 Elena-Simona Apostol , Ciprian-Octavian Truică , Adrian Paschke

Social media such as tweets are emerging as platforms contributing to situational awareness during disasters. Information shared on Twitter by both affected population (e.g., requesting assistance, warning) and those outside the impact zone…

Information Retrieval · Computer Science 2017-05-08 Hien To , Sumeet Agrawal , Seon Ho Kim , Cyrus Shahabi

People increasingly use microblogging platforms such as Twitter during natural disasters and emergencies. Research studies have revealed the usefulness of the data available on Twitter for several disaster response tasks. However, making…

Social and Information Networks · Computer Science 2018-05-16 Firoj Alam , Ferda Ofli , Muhammad Imran , Michael Aupetit

The ability to track large-scale events as they happen is essential for understanding them and coordinating reactions in an appropriate and timely manner. This is true, for example, in emergency management and decision-making support, where…

Computers and Society · Computer Science 2022-06-28 Carlo Bono , Barbara Pernici

Natural hazards are becoming increasingly expensive as climate change and development are exposing communities to greater risks. Preparation and recovery are critical for climate change resilience, and social media are being used more and…

Social and Information Networks · Computer Science 2019-03-06 Meredith T. Niles , Benjamin F. Emery , Andrew J. Reagan , Peter Sheridan Dodds , Christopher M. Danforth

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