Disaster Damage Assessment

Ask about this topic

Overview

Disaster damage assessment studies how to detect and measure harm to buildings, roads, and land after events such as earthquakes, floods, hurricanes, and wildfires. Common approaches compare pre- and post-disaster satellite or aerial images using change detection, segmentation, and building-level classifiers; newer systems also combine optical and radar data, street views, and vision-language models. Benchmarks such as xBD, RescueNet, FloodNet, and BRIGHT test tasks ranging from damage severity grading to mapping and scene understanding, while operational tools aim to support response prioritization and recovery planning. A central challenge is generalizing across unseen events, regions, and sensors: strong in-domain scores do not guarantee reliable field performance, and evaluation must account for class imbalance, uncertainty, and practical decision costs.

Latest papers

CardsList

49 papers8 papers in the last four weeks, up 167% on the four weeks before. 0.0% of all new papers.

  1. Key Findings for Small UAS for Post-Disaster Damage Assessment from the CURSE'26 Exercise

    Oct 21, 2026Thomas Manzini, Stephen Johnson, Priyankari Perali +2Disaster Damage AssessmentUAV Remote Sensing

    Texas A&M University · the University of Maryland, College Park · Florida State University

  2. Revisiting the Task of Building Damage Assessment by Satellite Imaging

    Oct 9, 2026Anthony Cioppa, Virgile Blua, Sébastien Piérard +2Building Damage AssessmentDisaster Damage Assessment

  3. Shortcut Learning in Geospatial Foundation Model Embeddings for Cross-Disaster Damage Assessment

    Oct 9, 2026Ali Shibli, Andrea Nascetti, Yifang BanShortcut LearningGeospatial Foundation Models

    Division of Geoinformatics KTH Royal Institute of Technology Stockholm, Sweden

  4. FearCaut-Qwen: Affective Steering in a Vision-Language Model Shifts the Decision Criterion for Hazard Assessment

    Oct 8, 2026Xiaoshan ZhouDisaster Damage AssessmentVLM Interpretability

    School of Project Management, Faculty of Engineering, The University of Sydney, Sydney, NSW 2006, Australia

  5. When Satellite and Street Views Disagree: Cross-View Complementarity in Disaster Damage Assessment

    Oct 3, 2026Yifan Yang, Lei ZouDisaster Damage AssessmentBuilding Damage Assessment

    Department of Geography, Texas A&M University, College Station, Texas, USA

  6. Embedded Bi-Temporal Building Damage Assessment for On-Board Data Reduction

    Sep 29, 2026Thomas Goudemant, Benjamin Francesconi, Marjorie Bellizzi +1Disaster Damage AssessmentBuilding Damage Assessment

    IRT Saint Exupéry, France · CNES, France

  7. Temporal Modelling for Burn Scars on Sentinel-3

    Sep 28, 2026Luca Barco, Edoardo Arnaudo, Andrea Bragagnolo +2Remote Sensing Image SegmentationDisaster Damage Assessment

    Politecnico di Torino, Torino, Italy · Fondazione LINKS, Torino, Italy

  8. Decoding the Disaster: Multi-Task Geospatial Reasoning with Vision-Language Models and Crowdsourced Imagery for Disaster Mapping

    Sep 28, 2026Wenping Yin, Fabian Desuer, Ziqi Liu +5Geospatial ReasoningCross-View Geo-Localization

    College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China · Professorship of Big Geospatial Data Management, School of Engineering and Design, Technical University of Munich, Munich, 85521, Bavaria, Germany · State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China +6

  9. Multisource Remote Sensing and Geospatial Analysis of Vineyard Wildfire Impacts and Exposure: The 2019 Kincade Fire

    Sep 14, 2026Parastoo Farajpoor, Mahla Ardebili Pour, Mohammad Bagher Ghiasi +1Disaster Damage Assessment

    Department of Biological and Agricultural Engineering, University of California, Davis, Davis, CA, 95616, USA · Department of Civil and Environmental Engineering, University of California, Davis, Davis, CA, 95616, USA · Department of Electrical and Computer Engineering, University of California, Davis, Davis, CA, 95616, USA

  10. Towards reliable multimodal disaster severity assessment through preference optimization and explainable vision-language reasoning

    Sep 1, 2026Yuanjun Zhang, Fuzel Ahamed Shaik, Suvojit Acharjee +2Disaster Damage AssessmentMultimodal Classification

    Centre for Machine Vision & Signal Processing, University of Oulu, Pentti Kaiteran katu 1, PO Box 8000, Oulu, 90570, Finland · Department of CSE and Institute of Engineering and Management, 120 SDF Building, Saltlake Electronics Complex, Kolkata, 700091, India

  11. Quantum-Grassmann-Plucker Token Mixing for Deep Learning-Based Post-Disaster Damage Assessment

    Aug 31, 2026Kooroush Farahkhah, Umut Lagap, Taha Rezaei +1Disaster Damage AssessmentQuantum Machine Learning

    Independent Researcher, Tabriz, Iran. · Centre for Urban Resilience and Analytics (CURA), Georgia Institute of Technology (Georgia Tech), US. · Department of Civil and Environmental Engineering, University of Exeter, Exeter, UK. +1

  12. RAPIDMap: Rapid Multi-Agent Pipeline for Interpretable Disaster Mapping from Satellite and Street-view Imagery

    Aug 30, 2026Yifan Yang, Lei ZouRemote Sensing Image UnderstandingDisaster Damage Assessment

    Department of Geography, Texas A&M University, College Station, TX, USA

  13. DamageScope: Vision-Language Retrieval at Scale for Disaster Damage Assessment from Satellite Imagery

    Aug 21, 2026Ravi K. Rajendran, Biplob Debnath, Murugan Sankaradas +1Disaster Damage AssessmentVision-Language Retrieval

    NEC Laboratories America, Princeton, NJ, USA

  14. Keep Your Friends Close, and the Right Neighbours Closer: Disaster-Conditioned Kernel-Regularized Graph Attention for Building Damage Classification

    Aug 20, 2026Fuad Hasan, Chul Min YeumDisaster Damage AssessmentBuilding Damage Assessment

    Computer Vision for Smart Structure (CViSS) Lab, University of Waterloo, Waterloo, Ontario, Canada

  15. Rapid Debris-Volume Estimation from Post-Hurricane Aerial Imagery

    Aug 17, 2026Kooshan Amini, Jamie Ellen Padgett, Guha BalakrishnanDisaster Damage Assessment

    Department of Civil and Environmental Engineering, Rice University, Houston, TX, USA. · Ken Kennedy Institute, Rice University, Houston, TX, USA. · Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.

  16. Integrated Multimodal AI System for Retrieval-Augmented Reasoning, Object Sensing, and Damage Analysis

    Aug 9, 2026Kalelo Dukuray, Israel Pina, Evan Perez +2Retrieval-Augmented GenerationDisaster Damage Assessment

    Dept. of Computer Science, City College of New York, New York, NY 10031, USA · Air Force Research Lab, Rome, NY 13441, USA

  17. Adaptive Sampling for Automated Post-Disaster Rapid Damage Assessment via Level-Set Cost-Aware Bayesian Optimization

    Aug 3, 2026Boyang Xu, Mostafa Reisi Gahrooei, Mohammad Ilbeigi +1Disaster Damage AssessmentBuilding Damage Assessment

    School of Computing and Augmented Intelligence, Arizona State University · Department of Industrial and Systems Engineering, University of Florida · Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology

  18. Assessing the Benefits of Combining Advanced Deep Learning Techniques for Post-Disaster Building Damage Assessment from UAV Imagery

    Aug 3, 2026Huy Quang Ung, Guillaume Habault, Roberto Legaspi +3Disaster Damage AssessmentBuilding Damage Assessment

    KDDI Research, Inc., Fujimino, Japan

  19. Counting the Cost of War Under Satellite Embargo: Zero-Shot Estimation of Impacted Infrastructure

    Jul 31, 2026Saleh Sakib Ahmed, M. Sohel RahmanRemote Sensing Image UnderstandingVision-Language Models

    Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Palashi, Dhaka, 1000, Bangladesh.

  20. Large scale cross-regional remote sensing flood monitoring framework for operative mapping and impact analysis

    Jul 30, 2026Ilya Novikov, Svetlana Illarionova, Ruslan Dzharkinov +6Remote Sensing Image SegmentationDisaster Damage Assessment

    Skolkovo Institute of Science and Technology, Moscow, 121205, Russia. · Trofimuk Institute of Petroleum Geology and Geophysics SB RAS, Novosibirsk, 630090, Russia. · King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia. +2

  21. Advancing All-Weather Building Damage Mapping to the Instance Level: Outcomes and Insights from the 2026 Bright Challenge

    Jul 23, 2026Hongruixuan Chen, He Huang, Haifeng Wang +19Disaster Damage AssessmentBuilding Damage Assessment

    RIKEN Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo 103-0027, Japan · State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China · Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8561, Japan +3

  22. DELUGE: Towards Continental-Scale Daily Pluvial Flood Damage Prediction via Interpretable Conditioning on Foundation Model Embeddings

    Jul 17, 2026Yuya Kawakami, Daniel Cayan, Dongyu Liu +2Disaster Damage AssessmentMultimodal Model Interpretability

    University of California, Davis Davis, California, USA · Scripps Institution of Oceanography University of California, San Diego La Jolla, California, USA

  23. HASTE: A Platform for Rapid Post-Disaster Building Damage Assessment

    Jul 13, 2026Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo +8Remote Sensing Image SegmentationDisaster Damage Assessment

    Microsoft AI for Good Research Lab

  24. An Integrated Two-Stage Deep-Learning Tool for Rapid Post-Hurricane Damage Identification and Repair Scheduling

    Jun 28, 2026Hooman Torkaman, Ellis Oti Boateng, Jignesh Solanki +1Disaster Damage AssessmentPower Systems

    Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA

  25. RAPID: A Reproducible Multi-Agent Pipeline for Interpretable Disaster Damage Assessment from Satellite and Street-View Imagery

    Jun 20, 2026Yifan Yang, Wenjing Gong, Kaili Zhang +5Remote Sensing Image UnderstandingDisaster Damage Assessment

    Texas A&M University College Station, Texas, USA · National University of Singapore Singapore, Singapore · The University of Alabama Tuscaloosa, Alabama, USA

  26. GeoDisaster: Benchmarking Orchestrated Agents for Operational Disaster Geo-Intelligence

    Jun 15, 2026Maram Hasan, Aman Verma, Savitra Roy +5Disaster Damage AssessmentRL for Language Model Reasoning

    Indian Institute of Technology Bombay · Mohamed bin Zayed University of Artificial Intelligence

  27. Multi-Modal Attention for Automated Disaster Damage Assessment Using Remote Sensing Imagery and Deep Learning

    Jun 12, 2026Tewodros Syum Gebre, Jagrati Talreja, Leila Hashemi-BeniDisaster Damage AssessmentRemote Sensing Change Detection

    Built Environment Department, College of Science and Technology, North Carolina A&T State University, Greensboro, NC, USA · United Nations University Institute for Water, Environment and Health, Richmond Hill, ON, Canada

  28. Damage-TriageFormer: A Foundation-Model Framework for Typology-Based Building Damage Assessment from Mono-Temporal Imagery

    Jun 10, 2026Yiming Xiao, Yu-Hsuan Ho, Sanjay Thasma +2Remote Sensing Image UnderstandingDisaster Damage Assessment

    Texas A&M University · Resilitix Intelligence LLC · Institute for a Disaster Resilient Texas

  29. Building Change Detection in Earthquake: A Multi-Scale Interaction Network and A Change Detection Dataset

    Jun 9, 2026Yunlong Liu, Zekai ZhangDisaster Damage AssessmentBuilding Damage Assessment

    School of Control Science and Engineering, Shandong University, Ji’nan 250061, China

  30. Optimizing Latent Representations for Robust Building Damage Assessment Onboard Earth Observation Satellites

    May 28, 2026Thomas Goudemant, Benjamin FrancesconiDisaster Damage AssessmentBuilding Damage Assessment

    Institut de Recherche Technologique Saint Exup´ery