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Post-disaster inspections are critical to emergency management after earthquakes. The availability of data on the condition of civil infrastructure immediately after an earthquake is of great importance for emergency management.…

Signal Processing · Electrical Eng. & Systems 2020-09-25 Xiao Liang , Seyed Omid Sajedi

One measurement modality for rainfall is a fixed location rain gauge. However, extreme rainfall, flooding, and other climate extremes often occur at larger spatial scales and affect more than one location in a community. For example, in…

Methodology · Statistics 2024-05-02 Carlynn Fagnant , Julia C. Schedler , Katherine B. Ensor

The speed of response by search and rescue teams at sea is of vital importance, as survival may depend on it. Recent technological advancements have led to the development of more efficient systems for locating individuals involved in a…

Computer Vision and Pattern Recognition · Computer Science 2025-02-17 Juan P. Martinez-Esteso , Francisco J. Castellanos , Jorge Calvo-Zaragoza , Antonio Javier Gallego

Unmanned Aerial Vehicle (UAV) based remote sensing system incorporated with computer vision has demonstrated potential for assisting building construction and in disaster management like damage assessment during earthquakes. The…

As climate change increases the intensity of natural disasters, society needs better tools for adaptation. Floods, for example, are the most frequent natural disaster, but during hurricanes the area is largely covered by clouds and…

Natural disasters pose significant challenges to timely and accurate damage assessment due to their sudden onset and the extensive areas they affect. Traditional assessment methods are often labor-intensive, costly, and hazardous to…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Catherine Hoier , Khandaker Mamun Ahmed

Identifying regions affected by disasters is a vital step in effectively managing and planning relief and rescue efforts. Unlike the traditional approaches of manually assessing post-disaster damage, analyzing images of Unmanned Aerial…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Dibyabha Deb , Ujjwal Verma

In the United States, hurricanes are the most devastating natural disasters causing billions of dollars worth of damage every year. More importantly, construction jobsites are classified among the most vulnerable environments to severe wind…

Computer Vision and Pattern Recognition · Computer Science 2021-10-26 Mirsalar Kamari , Youngjib Ham

Current methods of practice for inspection of civil infrastructure typically involve visual assessments conducted manually by trained inspectors. For post-earthquake structural inspections, the number of structures to be inspected often far…

Computer Vision and Pattern Recognition · Computer Science 2018-05-04 Vedhus Hoskere , Yasutaka Narazaki , Tu Hoang , BillieF Spencer

Recent years, typhoon damages has become social problem owing to climate change. In 9 September 2019, Typhoon Faxai passed on the Chiba in Japan, whose damages included with electric provision stop because of strong wind recorded on the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-17 Takato Yasuno , Masazumi Amakata , Masahiro Okano

Reinforced concrete buildings are commonly used around the world. With recent earthquakes worldwide, rapid structural damage inspection and repair cost evaluation are crucial for building owners and policy makers to make informed risk…

Computer Vision and Pattern Recognition · Computer Science 2021-11-19 Xiao Pan , T. Y. Yang

Earthquake-induced secondary ground failure hazards, such as liquefaction and landslides, result in catastrophic building and infrastructure damage as well as human fatalities. To facilitate emergency responses and mitigate losses, the U.S.…

Computational Engineering, Finance, and Science · Computer Science 2022-04-19 Susu Xu , Joshua Dimasaka , David J. Wald , Hae Young Noh

Floods rank among the costliest natural hazards, causing over USD 100 billion in insured losses between 2013 and 2023. In France, persistent deficits in the natural catastrophe scheme highlight the need for accurate, building-scale flood…

Applications · Statistics 2026-03-04 Mulah Moriah , Franck Vermet , Pierre Ailliot , Philippe Naveau , Juliette Legrand

Post-hazard reconnaissance for natural disasters (e.g., earthquakes) is important for understanding the performance of the built environment, speeding up the recovery, enhancing resilience and making informed decisions related to current…

Computation and Language · Computer Science 2021-02-15 Alicia Y. Tsai , Selim Gunay , Minjune Hwang , Pengyuan Zhai , Chenglong Li , Laurent El Ghaoui , Khalid M. Mosalam

In this paper, we address a new image forensics task, namely the detection of fake flood images generated by ClimateGAN architecture. We do so by proposing a hybrid deep learning architecture including both a detection and a localization…

Computer Vision and Pattern Recognition · Computer Science 2022-05-17 Jun Wang , Omran Alamayreh , Benedetta Tondi , Mauro Barni

Timely disaster risk management requires accurate road maps and prompt damage assessment. Currently, this is done by volunteers manually marking satellite imagery of affected areas but this process is slow and often error-prone.…

Computer Vision and Pattern Recognition · Computer Science 2020-06-11 Ananya Gupta , Elisabeth Welburn , Simon Watson , Hujun Yin

Climate change has increased the severity and frequency of weather disasters all around the world. Flood inundation mapping based on earth observation data can help in this context, by providing cheap and accurate maps depicting the area…

Machine Learning · Computer Science 2023-03-02 Kevin Iselborn , Marco Stricker , Takashi Miyamoto , Marlon Nuske , Andreas Dengel

Along with climate change, more frequent extreme events, such as flooding and tropical cyclones, threaten the livelihoods and wellbeing of poor and vulnerable populations. One of the most immediate needs of people affected by a disaster is…

Machine Learning · Computer Science 2021-08-10 Karla Saldana Ochoa , Tina Comes

The return of normalcy to the population's lifestyle is a critical recovery milestone in the aftermath of disasters, and delayed lifestyle recovery could lead to significant well-being impacts. Lifestyle recovery captures the collective…

Physics and Society · Physics 2022-07-12 Natalie Coleman , Chenyue Liu , Yiqing Zhao , Ali Mostafavi

Satellite remote sensing is playing an increasing role in the rapid mapping of damage after natural disasters. In particular, synthetic aperture radar (SAR) can image the Earth's surface and map damage in all weather conditions, day and…

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