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Session Proposal: Innovative approaches and applications for damage assessment in crisis settings (AGU25)

NH025
Innovative approaches and applications for damage assessment in crisis settings

Session ID#: 252004

Session Description:
As the frequency and severity of disasters – both natural and human driven – increase globally, the need for robust, adaptable and interdisciplinary approaches to damage assessment has never been more urgent. This session invites contributions that explore a range of methodologies and applications for assessing damage to infrastructure, ecosystems, agricultural systems and other critical resources affected by natural hazards and armed conflict. We invite research that utilizes remote sensing, machine learning, open-source intelligence and data-fusion techniques to monitor and quantify disaster impacts across diverse spatiotemporal scales, encompassing pre-disaster, during-disaster, and post-disaster phases. We place emphasis on expanding applications of damage assessments to support emergency response and humanitarian aid. Submissions may focus on the integration of socio-economic and environmental datasets to support response efforts and contribute towards the Sustainable Development Goals. This session aims to connect researchers, practitioners and policy makers across sectors working on real-time, retrospective, and predictive assessments.
Co-Sponsor(s):
  • GC - Global Environmental Change
  • GH - GeoHealth
  • SY - Science and Society
Index Terms:

1910 Data assimilation, integration and fusion [INFORMATICS]
1926 Geospatial [INFORMATICS]
4333 Disaster risk analysis and assessment [NATURAL HAZARDS]
4337 Remote sensing and disasters [NATURAL HAZARDS]
Primary Convener:  Andrew Zimmer, Oak Ridge National Laboratory, GSHS, Human Geography, Oak Ridge, TN, United States
Conveners:  Jamon Van Den Hoek, Oregon State University, College of Earth, Ocean and Atmospheric Sciences, Corvallis, United States, Marie Urban, Oak Ridge National Laboratory, GSHS, Human Geography, Oak Ridge, United States and Viswadeep Lebakula, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Student/Early Career Convener:  Andrew Zimmer, Montana State University, Department of Earth Sciences; Geospatial Core Facility, Bozeman, United States
 
Assessing building damage and vegetation loss after the 2025 Eaton Fire using optical remote sensing (1875840)
Solène L Antoine, California Institute of Technology, Division of Geological and Planetary Sciences, Pasadena, CA, United States
 
Do Less Predictable Tropical Cyclones Induce Larger Damages? (1889212)
Hikari Viviane Yamamoto Fukuda, The University of Tokyo, Natural Environmental Studies, Kashiwa, Japan, Md Rezuanul Islam, Institute of Engineering Innovation, School of Engineering, Tokyo, Japan, Yohei Sawada, The University of Tokyo, Department of Civil Engineering, Tokyo, Japan and Md. Rezuanul Islam
 
Integrating GNSS Displacement Signals and Causal Machine Learning for Post-Earthquake Damage Assessment in Türkiye (1899638)
Mihrimah Ozmen, University of Louisiana at Lafayette, Engineering and Technology Management, Lafayette, LA, United States and Mehmet Ali Uge, Auburn University, Department of Geosciences, Auburn, United States
 
Coherent Change Detection for Post-Tornado Damage Assessment (Invited) (1914585)
Hannah G Pankratz, University of Alabama in Huntsville, Earth System Science Center, Huntsville, United States, Andrew Molthan, NASA Marshall Space Flight Center, Earth Science Branch, Huntsville, United States, Alexander Melancon, University of Alabama in Huntsville, Earth System Science Center, Huntsville, AL, United States and Jordan R Bell, NASA Marshall Space Flight Center, Earth Science Branch, Huntsville, AL, United States
 
Multi-Scale Earthquake Impact Assessment Through Causal Diffusion Modeling (1919509)
Xuechun Li1, Shan Gao2 and Susu Xu1, (1)Johns Hopkins University, Civil and Systems Engineering, Baltimore, United States, (2)Johns Hopkins University, Civil and Systems Engineering, Baltimore, MD, United States
 
Scalable Structural Damage Detection Using Smartphone-Based Ambient Vibration Monitoring (1938376)
Utpal Kumar1, Richard M Allen1, Tara Hutchinson2, Jiachen Zhang2 and Shokrullah Sorosh2, (1)Berkeley Seismology Lab, University of California Berkeley, Berkeley, United States, (2)Department of Structural Engineering, Jacobs School of Engineering, University of California San Diego, San Diego, United States
 
Post-Flood Damage Mapping without Ground Truth Data using Fully Polarimetric SAR and Interferometric Coherence (1946781)
Ruma Adhikari and Alok Bhardwaj, Indian Institute of Technology Roorkee, Department of Civil Engineering, Roorkee, India
 
Cutting-Edge Fusion of Modeling, Machine Learning, and Remote Sensing to Map and Analyze Cyclone Remal Wind Damage in Coastal Bangladesh (1950533)
Md. Hasanur Rahman, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
 
Intelligent Event Models (1950538)
Marie Urban1, Daniel Adams1, Andrew Zimmer2, Carson Woody1, Benjamin Swan3, Jordan Bowman3, Philipe Dias3, Jessica Moehl4, Dalton Lunga3 and Daniel Adams, (1)Oak Ridge National Laboratory, GSHS, Human Geography, Oak Ridge, United States, (2)Oak Ridge National Laboratory, GSHS, Human Geography, Oak Ridge, TN, United States, (3)Oak Ridge National Laboratory, GSHS, GeoAI, Oak Ridge, United States, (4)Oak Ridge National Laboratory, GSHS, Geoinformatics Engineering, Oak Ridge, United States
 
Smart Monitoring Framework for Subsurface Drainage in Landslide-Prone Terrain (1986238)
Chien Hsien Lee1, Li-Yen Su1, Chueh-Chun Fang2, SSU-Yao Yang2 and Chi-Yao Hung3, (1)National Chung Hsing University, National Land Resources Conservation Center, Taichung, Taiwan, (2)Engineering, Sinotech, Engineering Consultants, Ltd., Taichung, Taiwan, (3)National Chung Hsing University, Department of Soil and Water Conservation, Taichung, Taiwan
See more of: Natural Hazards
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