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In the context of recent, highly destructive conflicts in Gaza and Ukraine, reliable estimates of building damage are essential for an informed public discourse, human rights monitoring, and humanitarian aid provision. Given the contentious…

Computer Vision and Pattern Recognition · Computer Science 2024-05-13 Ollie Ballinger

Critical infrastructure, such as transport networks and bridges, are systematically targeted during wars and suffer damage during extensive natural disasters because it is vital for enabling connectivity and transportation of people and…

Existing data on building destruction in conflict zones rely on eyewitness reports or manual detection, which makes it generally scarce, incomplete and potentially biased. This lack of reliable data imposes severe limitations for media…

General Economics · Economics 2021-07-07 Hannes Mueller , Andre Groger , Jonathan Hersh , Andrea Matranga , Joan Serrat

Very High Resolution (VHR) geospatial image analysis is crucial for humanitarian assistance in both natural and anthropogenic crises, as it allows to rapidly identify the most critical areas that need support. Nonetheless, manually…

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

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 ability to constantly monitor urban changes is of significant socio-economic interest, like detecting trends in urban expansion or tracking the vitality of urban areas. Especially in present conflict zones or disaster areas, such…

Computers and Society · Computer Science 2024-02-16 Georg Zitzlsberger , Michal Podhoranyi

Accurate assessment of post-disaster damage is essential for prioritizing emergency response, yet current practices rely heavily on manual interpretation of satellite imagery.This approach is time-consuming, subjective, and difficult to…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Sreesritha Sai , Sai Venkata Suma Sreeja , Sai Sri Deepthi , Nikhil

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…

Earth observation technologies, such as optical imaging and synthetic aperture radar (SAR), provide excellent means to monitor ever-growing urban environments continuously. Notably, in the case of large-scale disasters (e.g., tsunamis and…

Computer Vision and Pattern Recognition · Computer Science 2020-09-15 Bruno Adriano , Naoto Yokoya , Junshi Xia , Hiroyuki Miura , Wen Liu , Masashi Matsuoka , Shunichi Koshimura

Aerial bombardment of the Gaza Strip beginning October 7, 2023 is one of the most intense bombing campaigns of the twenty-first century, driving widespread urban damage. Characterizing damage over a geographically dynamic and protracted…

Computer Vision and Pattern Recognition · Computer Science 2025-06-18 Corey Scher , Jamon Van Den Hoek

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

Humanitarian disasters and political violence cause significant damage to our living space. The reparation cost to homes, infrastructure, and the ecosystem is often difficult to quantify in real-time. Real-time quantification is critical to…

Computer Vision and Pattern Recognition · Computer Science 2020-10-13 Lili Lu , Weisi Guo

Earthquakes are commonly estimated using physical seismic stations, however, due to the installation requirements and costs of these stations, global coverage quickly becomes impractical. An efficient and lower-cost alternative is to…

Computer Vision and Pattern Recognition · Computer Science 2026-05-08 Daniele Rege Cambrin , Isaac Corley , Paolo Garza , Peyman Najafirad

When disaster strikes, accurate situational information and a fast, effective response are critical to save lives. Widely available, high resolution satellite images enable emergency responders to estimate locations, causes, and severity of…

Computer Vision and Pattern Recognition · Computer Science 2020-04-15 Hanxiang Hao , Sriram Baireddy , Emily R. Bartusiak , Latisha Konz , Kevin LaTourette , Michael Gribbons , Moses Chan , Mary L. Comer , Edward J. Delp

The mission of resilience of Ukrainian cities calls for international collaboration with the scientific community to increase the quality of information by identifying and integrating information from various news and social media sources.…

Computers and Society · Computer Science 2025-01-28 Manar Attar , Shuai Wang , Ronald Siebes , Eirik Kultorp , Zhisheng Huang , Tianyang Lu

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

Floods are one of the most common disasters globally. Flood affects humans in many ways. Therefore, rapid assessment is needed to assess the effect of floods and to take early action to support the vulnerable community in time. Sentinel-1…

Computers and Society · Computer Science 2023-11-28 Surajit Ghosh , Arpan Dawn , Sneha Kour , Susmita Ghosh

Earthquake monitoring is necessary to promptly identify the affected areas, the severity of the events, and, finally, to estimate damages and plan the actions needed for the restoration process. The use of seismic stations to monitor the…

Computer Vision and Pattern Recognition · Computer Science 2024-10-18 Daniele Rege Cambrin , Paolo Garza

After a hurricane, damage assessment is critical to emergency managers for efficient response and resource allocation. One way to gauge the damage extent is to quantify the number of flooded/damaged buildings, which is traditionally done by…

Computer Vision and Pattern Recognition · Computer Science 2020-07-09 Quoc Dung Cao , Youngjun Choe
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