Disaster Damage Assessment

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3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

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  1. 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

  2. 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

  3. Multisource Remote Sensing and Geospatial Analysis of Vineyard Wildfire Impacts and Resilience: 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 +1

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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.

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

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

    Jan 26, 2026Sara Tehrani, Yonghao Xu, Leif Haglund +3VLM EvaluationRemote Sensing Image Understanding

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