Disaster Damage Assessment

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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. Benchmarking Composed Image Retrieval for Applied Earth Observation

    May 23, 2026Bill Psomas, Dionysis Christopoulos, Thanasis Petropoulos +6Disaster Damage AssessmentRemote Sensing

    Visual Recognition Group, Department of Cybernetics, Czech Technical University in Prague, Czechia · Remote Sensing Laboratory, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Greece · Institute of Informatics & Telecommunications, National Centre for Scientific Research “Demokritos”, Greece +1

  2. OPTNet: Ordering Point Transformer Network for Post-disaster 3D Semantic Segmentation

    May 16, 2026Nhut Le, Ehsan Karimi, Maryam RahnemoonfarDisaster Damage AssessmentTransformer

    Computer Science and Engineering, Lehigh University, Bethlehem PA 18015, US · Civil and Environmental Engineering, Lehigh University, Bethlehem PA 18015, US

  3. Instruct-ICL: Instruction-Guided In-Context Learning for Post-Disaster Damage Assessment

    May 12, 2026Armin Zarbaft, Ehsan Karimi, Nhut Le +1Disaster Damage AssessmentLLM Prompting

    Lehigh Uniersity Pennsylvania, USA

  4. DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment

    May 11, 2026Kevin Zhu, William Tang, Raphael Hay Tene +3Class-Imbalanced LearningImage Segmentation

    Bina Labs, Lehigh University

  5. ChangeQuery: Advancing Remote Sensing Change Analysis for Natural and Human-Induced Disasters from Visual Detection to Semantic Understanding

    Apr 24, 2026Dongwei Sun, Jing Yao, Kan Wei +6Remote Sensing Image UnderstandingDisaster Damage Assessment

    School of Computer Science and Technology and the Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an 710049, China · State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China · State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China +4

  6. A Mamba-Based Multimodal Network for Multiscale Blast-Induced Rapid Structural Damage Assessment

    Apr 13, 2026Wanli Ma, Sivasakthy Selvakumaran, Dain G. Farrimond +2Disaster Damage AssessmentBuilding Damage Assessment

    Department of Engineering, University of Cambridge, Cambridge CB2 1TN, UK · School of Mechanical, Aerospace and Civil Engineering, University of Sheffield, Sheffield S10 2TN, UK

  7. Smart Transfer: Leveraging Vision Foundation Model for Rapid Building Damage Mapping with Post-Earthquake VHR Imagery

    Apr 3, 2026Hao Li, Liwei Zou, Wenping Yin +4Disaster Damage AssessmentBuilding Damage Assessment

    Department of Geography, National University of Singapore, Singapore, 117570, Singapore · Urban Governance and Design Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 511453, Guangdong, China · School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China +3

  8. Property-Level Flood Risk Assessment Using AI-Enabled Street-View Lowest Floor Elevation Extraction and ML Imputation Across Texas

    Apr 1, 2026Xiangpeng Li, Yu-Hsuan Ho, Sam D Brody +1Disaster Damage Assessment

    Ph.D. student. Urban Resilience.AI Lab, Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, Texas, United States. · Director, Institute for a Disaster Resilient Texas (IDRT) Regents Professor, Marine and Coastal Environmental Science, College of Marine Sciences & Maritime Studies, Texas A&M University at Galveston · Professor. Urban Resilience.AI Lab, Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, Texas, United States.

  9. From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery

    Mar 24, 2026Bijay Shakya, Catherine Hoier, Khandaker Mamun AhmedDisaster Damage AssessmentBuilding Damage Assessment

    The Beacom College of Computer & Cyber Sciences, Dakota State University, USA

  10. Satellite-to-Street: Synthesizing Post-Disaster Views from Satellite Imagery via Generative Vision Models

    Mar 21, 2026Yifan Yang, Lei Zou, Wendy JepsonImage GenerationDisaster Damage Assessment

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

  11. A Framework for Modeling Liquefaction-Induced Road Disruptions After Earthquakes: Implications for Emergency Response and Access in the Cascadia Region of North America

    Mar 16, 2026Morgan D. Sanger, Olyvia B. Smith, Brett W. Maurer +3Disaster Damage AssessmentDisaster Response

    Dept. of Civil and Environmental Engineering, University of Washington, Seattle WA, USA · Dept. of Civil and Environmental Engineering, University of Auckland, Auckland, NZ

  12. DamageArbiter: A Multimodal Arbitration Framework for Disaster Damage Assessment from Street-View Imagery

    Mar 16, 2026Yifan Yang, Lei Zou, Wenjing Gong +6Disaster Damage AssessmentMultimodal Classification

    Department of Geography, Texas A&M University, College Station, USA · Department of Landscape Architecture & Urban Planning, Texas A&M University, College Station, USA · Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA +2

  13. Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation

    Mar 16, 2026Asmae Mouradi, Shruti KshirsagarDisaster Damage AssessmentBuilding Damage Assessment

    School of Computing, Wichita State University, Wichita, Kansas, USA

  14. ALTIS: Automated Loss Triage and Impact Scoring from Sentinel-1 SAR for Property-Level Flood Damage Assessment

    Mar 14, 2026Amogh Vinaykumar, Prem KamasaniDisaster Damage AssessmentSynthetic Aperture Radar

    Altis Intelligence

  15. TornadoNet: Real-Time Building Damage Detection with Ordinal Supervision

    Mar 12, 2026Robinson Umeike, Cuong Pham, Ryan Hausen +8Disaster Damage AssessmentBuilding Damage Assessment

    The University of Alabama · University of South Alabama · Johns Hopkins University +2

  16. Open-Vocabulary vs Supervised Learning Methods for Post-Disaster Visual Scene Understanding

    Mar 1, 2026Anna Michailidou, Georgios Angelidis, Vasileios Argyriou +2Object DetectionOpen-Vocabulary Object Detection

    Department of Informatics and Telematics, Harokopio University of Athens, Athens, Greece · Department of Networks and Digital Media, Kingston University, London, United Kingdom · Department of Electrical and Computer Engineering, University of Western Macedonia, Kozani, Greece +1

  17. Improved MambdaBDA Framework for Robust Building Damage Assessment Across Disaster Domains

    Mar 1, 2026Alp Eren Gençoğlu, Hazım Kemal EkenelDisaster Damage AssessmentBuilding Damage Assessment

    Department of Computer Engineering, Istanbul Technical University, Türkiye · Division of Engineering, New York University Abu Dhabi, UAE

  18. Architectural Insights for Post-Tornado Damage Recognition

    Feb 16, 2026Robinson Umeike, Thang Dao, Shane Crawford +8Disaster Damage AssessmentBuilding Damage Assessment

    Lisa · The University of Alabama · Colorado State University +3

  19. DisasterInsight: A Building-Centric Benchmark for Evaluating Vision--Language Models in Disaster Response

    Jan 26, 2026Sara Tehrani, Yonghao Xu, Leif Haglund +3Building Damage AssessmentRemote Sensing Image Understanding

    Computer Vision and Learning System, Linköping University, Sweden · Vantor, Linköping, Sweden