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The forecast of tropical cyclone trajectories is crucial for the protection of people and property. Although forecast dynamical models can provide high-precision short-term forecasts, they are computationally demanding, and current…

Atmospheric and Oceanic Physics · Physics 2020-01-13 Sophie Giffard-Roisin , Mo Yang , Guillaume Charpiat , Christina Kumler-Bonfanti , Balázs Kégl , Claire Monteleoni

Global climate change has had a drastic impact on our environment. Previous study showed that pest disaster occured from global climate change may cause a tremendous number of trees died and they inevitably became a factor of forest fire.…

Computer Vision and Pattern Recognition · Computer Science 2020-10-19 Chia-Yen Chiang , Chloe Barnes , Plamen Angelov , Richard Jiang

Anthropogenic influences have been linked to tropical cyclone (TC) poleward migration, TC extreme precipitation, and an increased proportion of major hurricanes [1, 2, 3, 4]. Understanding past TC trends and variability is critical for…

Atmospheric and Oceanic Physics · Physics 2024-02-02 Buo-Fu Chen , Boyo Chen , Chun-Min Hsiao , Hsu-Feng Teng , Cheng-Shang Lee , Hung-Chi Kuo

Efficient inspection and accurate diagnosis are required for civil infrastructures with 50 years since completion. Especially in municipalities, the shortage of technical staff and budget constraints on repair expenses have become a…

Computer Vision and Pattern Recognition · Computer Science 2020-05-20 Takato Yasuno , Nakajima Michihiro , Noda Kazuhiro

Natural disasters such as hurricanes, wildfires, and winter storms have induced large-scale power outages in the U.S., resulting in tremendous economic and societal impacts. Accurately predicting power outage recovery and impact is key to…

Machine Learning · Computer Science 2025-11-17 Chenghao Duan , Chuanyi Ji

Visibility of natural landmarks such as Mount Fuji is a defining factor in both tourism planning and visitor experience, yet it remains difficult to predict due to rapidly changing atmospheric conditions. We present FujiView, a multimodal…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Bryceton Bible , Shah Md Nehal Hasnaeen , Hairong Qi

Catastrophes of all kinds can be roughly defined as short duration-large amplitude events following and followed by long periods of "ripening". Major earthquakes surely belong to the class of 'catastrophic' events. Because of the space-time…

Data Analysis, Statistics and Probability · Physics 2015-06-04 Randall D. Peters , Martine Le Berre , Yves Pomeau

Earthquakes are among the most immediate and deadly natural disasters that humans face. Accurately forecasting the extent of earthquake damage and assessing potential risks can be instrumental in saving numerous lives. In this study, we…

Computer Vision and Pattern Recognition · Computer Science 2024-02-06 Koyu Mizutani , Haruki Mitarai , Kakeru Miyazaki , Soichiro Kumano , Toshihiko Yamasaki

This study explores object detection in historical aerial photographs of Namibia to identify long-term environmental changes. Specifically, we aim to identify key objects -- Waterholes, Omuti homesteads, and Big trees -- around Oshikango in…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Girmaw Abebe Tadesse , Caleb Robinson , Gilles Quentin Hacheme , Akram Zaytar , Rahul Dodhia , Tsering Wangyal Shawa , Juan M. Lavista Ferres , Emmanuel H. Kreike

Natural disasters demand rapid damage assessment to guide humanitarian response. Here, we investigate whether medium-resolution Earth observation images from the Copernicus program can support building damage assessment, complementing…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Olivier Dietrich , Merlin Alfredsson , Emilia Arens , Nando Metzger , Torben Peters , Linus Scheibenreif , Jan Dirk Wegner , Konrad Schindler

The usage of Unmanned Aerial Vehicles (UAVs) in the context of structural health inspection is recently gaining tremendous popularity. Camera mounted UAVs enable the fast acquisition of a large number of images often used for mapping, 3D…

Computer Vision and Pattern Recognition · Computer Science 2021-10-12 Alon Oring

Floods cause extensive global damage annually, making effective monitoring essential. While satellite observations have proven invaluable for flood detection and tracking, comprehensive global flood datasets spanning extended time periods…

Computer Vision and Pattern Recognition · Computer Science 2025-04-30 Amit Misra , Kevin White , Simone Fobi Nsutezo , William Straka , Juan Lavista

Reliable post-disaster building damage assessment (BDA) from satellite imagery is hindered by severe class imbalance, background clutter, and domain shift across disaster types and geographies. In this work, we address these problems and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-05 Alp Eren Gençoğlu , Hazım Kemal Ekenel

Wildfires are one of the costliest and deadliest natural disasters in the US, causing damage to millions of hectares of forest resources and threatening the lives of people and animals. Of particular importance are risks to firefighters and…

Computer Vision and Pattern Recognition · Computer Science 2020-12-29 Alireza Shamsoshoara , Fatemeh Afghah , Abolfazl Razi , Liming Zheng , Peter Z Fulé , Erik Blasch

Over the last decade there has been an increasing frequency and intensity of wildfires across the globe, posing significant threats to human and animal lives, ecosystems, and socio-economic stability. Therefore urgent action is required to…

Computer Vision and Pattern Recognition · Computer Science 2026-01-14 Maria Sdraka , Alkinoos Dimakos , Alexandros Malounis , Zisoula Ntasiou , Konstantinos Karantzalos , Dimitrios Michail , Ioannis Papoutsis

Climate change is leading to an increase in extreme weather events, causing significant environmental damage and loss of life. Early detection of such events is essential for improving disaster response. In this work, we propose…

Computer Vision and Pattern Recognition · Computer Science 2025-06-16 Heng Fang , Hossein Azizpour

The resilience of electric power grids is threatened by natural hazards. Climate-related hazards are becoming more frequent and intense due to climate change. Statistical analyses clearly demonstrate a rise in the number of incidents (power…

Physics and Society · Physics 2025-04-30 George Karagiannakis , Mathaios Panteli , Sotirios Argyroudis

In this paper, we explore the formation of network relationships among disaster relief agencies during the process of responding to an unexpected event. The relationship is investigated through variables derived from the policy network…

Social and Information Networks · Computer Science 2013-12-16 Kwang Deok Kim , Liaquat Hossain

On October 2nd, 2020, under the combined effect of the winter Alex storm formed off the Brittany coast, and a strong Mediterranean episode, very intensive rainfalls affected in the south eastern France, both Roya and V{\'e}subie catchments…

Tropical cyclone-induced coastal hazards can significantly damage coastal infrastructure, and these risks may intensify under future climate change. As a result, there is increasing interest in conducting comprehensive assessments of…

Atmospheric and Oceanic Physics · Physics 2026-04-20 Ziyue Liu , Michelle T. Bensi
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