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Related papers: Enhancing Flood Impact Analysis using Interactive …

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The analysis of natural disasters such as floods in a timely manner often suffers from limited data due to coarsely distributed sensors or sensor failures. At the same time, a plethora of information is buried in an abundance of images of…

Computer Vision and Pattern Recognition · Computer Science 2020-11-12 Björn Barz , Kai Schröter , Ann-Christin Kra , Joachim Denzler

With increasing urbanization, in recent years there has been a growing interest and need in monitoring and analyzing urban flood events. Social media, as a new data source, can provide real-time information for flood monitoring. The social…

Computer Vision and Pattern Recognition · Computer Science 2020-10-13 Yu Feng , Claus Brenner , Monika Sester

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

Floods are among the most frequent and catastrophic natural disasters and affect millions of people worldwide. It is important to create accurate flood maps to plan (offline) and conduct (real-time) flood mitigation and flood rescue…

Computer Vision and Pattern Recognition · Computer Science 2020-07-15 P. Chaudhary , S. D'Aronco , J. P. Leitao , K. Schindler , J. D. Wegner

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, 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

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

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

Floods are the most common and among the most severe natural disasters in many countries around the world. As global warming continues to exacerbate sea level rise and extreme weather, governmental authorities and environmental agencies are…

Applications · Statistics 2021-10-07 Lauren Ansell , Luciana Dalla Valle

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

In this paper, we present our methods for the MediaEval 2020 Flood Related Multimedia task, which aims to analyze and combine textual and visual content from social media for the detection of real-world flooding events. The task mainly…

Computer Vision and Pattern Recognition · Computer Science 2020-12-01 Naina Said , Kashif Ahmad , Asma Gul , Nasir Ahmad , Ala Al-Fuqaha

The increasing popularity of social networks and users' tendency towards sharing their feelings, expressions, and opinions in text, visual, and audio content, have opened new opportunities and challenges in sentiment analysis. While…

Computer Vision and Pattern Recognition · Computer Science 2020-09-08 Syed Zohaib Hassan , Kashif Ahmad , Steven Hicks , Paal Halvorsen , Ala Al-Fuqaha , Nicola Conci , Michael Riegler

The paper presents our proposed solutions for the MediaEval 2020 Flood-Related Multimedia Task, which aims to analyze and detect flooding events in multimedia content shared over Twitter. In total, we proposed four different solutions…

Computer Vision and Pattern Recognition · Computer Science 2020-12-01 Firoj Alam , Zohaib Hassan , Kashif Ahmad , Asma Gul , Michael Reiglar , Nicola Conci , Ala AL-Fuqaha

Successful flood recovery and evacuation require access to reliable flood depth information. Most existing flood mapping tools do not provide real-time flood maps of inundated streets in and around residential areas. In this paper, a deep…

Computer Vision and Pattern Recognition · Computer Science 2022-09-20 Bahareh Alizadeh , Amir H. Behzadan

Accurate flood detection from visual data is a critical step toward improving disaster response and risk assessment, yet datasets for flood segmentation remain scarce due to the challenges of collecting and annotating large-scale imagery.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Georgios Simantiris , Konstantinos Bacharidis , Apostolos Papanikolaou , Petros Giannakakis , Costas Panagiotakis

Natural disasters affect hundreds of millions of people worldwide every year. Early warning, humanitarian response and recovery mechanisms can be improved by using big data sources. Measuring the different dimensions of the impact of…

Computers and Society · Computer Science 2020-06-25 David Pastor-Escuredo , Yolanda Torres , Maria Martinez , Pedro J. Zufiria

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

Water events are the most frequent and costliest climate disasters around the world. In the U.S., an estimated 127 million people who live in coastal areas are at risk of substantial home damage from hurricanes or flooding. In flood…

Computer Vision and Pattern Recognition · Computer Science 2021-09-29 Bahareh Alizadeh , Diya Li , Zhe Zhang , Amir H. Behzadan

Social media has become an integral part of our daily lives. During time-critical events, the public shares a variety of posts on social media including reports for resource needs, damages, and help offerings for the affected community.…

Social and Information Networks · Computer Science 2019-11-04 Ganesh Nalluru , Rahul Pandey , Hemant Purohit

Attribution of natural disasters/collective misfortune is a widely-studied political science problem. However, such studies are typically survey-centric or rely on a handful of experts to weigh in on the matter. In this paper, we explore…

Computers and Society · Computer Science 2020-01-07 Rupak Sarkar , Hirak Sarkar , Sayantan Mahinder , Ashiqur R. KhudaBukhsh
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