The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


Conveners will be contacted by the AGU25 Program Committee with any requests for mergers or edits to proposals. Conveners will be notified of the acceptance of their proposal in mid-June.


Abstract submissions will also open in mid-June and the deadline for abstract submissions is 30 July, 2025.


Please visit the AGU25 website for more information or please contact AGU with any questions.

Session Proposal: Methodologies and Applications of Damage Assessment Related to Natural Disasters and Armed Conflict (AGU25)

IN033
Methodologies and Applications of Damage Assessment Related to Natural Disasters and Armed Conflict

Session ID#: 251386

Session Description:
In events of natural disasters and armed conflict, damage indicators play a critical role in rapidly identifying displaced populations and estimating immediate and longer-term resource needs during and following crises. Beyond direct human impacts, damage assessments are essential for evaluating negative agricultural and environmental effects, including impacts on forests and terrain stability, which often increase risks of wildfire or landslides, respectively. Moreover, monitoring and characterizing agricultural damage or contamination is crucial to addressing food insecurity. This session explores the complex interactions among population dynamics, displacement, and challenges arising from conflicts and natural disasters. We emphasize innovative methodologies for detecting and monitoring damage to both the built environment and agricultural lands using remote sensing, in situ sensors, location data, open-source intelligence, and artificial intelligence techniques. Submissions should demonstrate practical applications of damage assessment methods, near-real-time population mapping, and estimation approaches that enhance emergency response and humanitarian aid efforts.
Index Terms:

4323 Human impact [NATURAL HAZARDS]
4335 Disaster management [NATURAL HAZARDS]
4337 Remote sensing and disasters [NATURAL HAZARDS]
4339 Disaster mitigation [NATURAL HAZARDS]
Primary Convener:  Chad Melton, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Conveners:  Sarah Elizabeth Walters, Oak Ridge National Laboratory, Oak Ridge, TN, United States, Daniel Adams, Oak Ridge National Laboratory, GSHS, Human Geography, Oak Ridge, United States and Nathaniel Raymond, Yale School of Public Health's Humanitarian Research Lab, New Haven, United States
 
Estimating Flood Damage to California’s Agricultural Lands Using Remote Sensing (1873971)
Siddharth Kishore, University of California Merced, Merced, CA, United States, Lisa Wu, University of California Merced, Civil and Environmental Engineering, Merced, United States, Boya Zhang, University of California Merced, CITRIS and Banatao Institute, Merced, United States, Alvar Escriva-Bou, Public Policy Institute of California, San Francisco, United States, Erin Lee Hestir, University of California Merced, Department of Civil & Environmental Engineering, Merced, CA, United States and Josue Medellin-Azuara, University of California, Merced, Water Systems Management Lab, Civil and Environmental Engineering, Merced, United States
 
Evaluating the Impact of the 2023–2025 Gaza Conflict Using VIIRS Nighttime Light Data (1936796)
Jingyuan Yang1, Wanzhen Song2, Zekun Ye2, HongJun Ma3, Zitong Xiang4, Jiayang Yu4, Richie Shin5, Jiayan Sun5 and Chenyu Zhu5, (1)Silicon Valley High-Tech and Education Center, West Chicago, IL, UNITED STATES, (2)Silicon Valley High-Tech and Education Center, Belmont, United States, (3)Saint Marys College of California, Moraga, United States, (4)Diablo Valley College, Pleasant Hill, United States, (5)Silicon Valley Hi-Tech and Education Center, Belmont, United States
 
Advancing Post-Earthquake Damage Detection: Ground Validation and Deep Learning Approach from the 2023 Mw6.8 Morocco Earthquake (1943231)
Riccardo Vitale1, Pietro Milillo1, Prof. Sabine Loos, PhD2, Giorgia Giardina3, Viviana Novelli4, Fabio Freddi5, Giovanna Castellano6, Gennaro Vessio6, Pasquale De Marinis6, Michael Whithworth7, Keith Adams8, Darren Siau Chen Chian9, Roberto Gentile10, Marco Redaelli11, Khalid Amrouch12, Alejandra Albuerne13, Mhamed Alaeddine Belfoul14, Martin Stokes15, Sarah Esper13, Zeyad Khalil16, Mauritz Feldbrugge17, Jacob Black18, Asmaa Maaroufi19, Hiba Shaimed19, Dalila Loudyi20, Hamza Skikra21, Abdellah Aghraz22, Rachid Ait Babahmad22, Fatemeh Foroughnia3, Valentina Putrino23, Enrico Spacone24, Nirthiha Fernando4, Sarah J Boulton25 and Joshua Jones7, (1)University of Houston, Department of Civil and Environmental Engineering, Houston, TX, United States, (2)University of Michigan, Civil and Environmental Engineering Department, Michigan, United States, (3)Delft University of Technology, Department of Geoscience and Engineering, Delft, Netherlands, (4)Cardiff University, School of Engineering, Cardiff, United Kingdom, (5)University College London, Department of Civil, Environmental & Geomatic Engineering, London, United Kingdom, (6)University of Bari Aldo Moro, Department of Computer Science, Bari, Italy, (7)AECOM, Fort Collins, United States, (8)London South Bank University, Civil and Building Services Engineering, London, United Kingdom, (9)National University of Singapore, Department of Civil and Environmental Engineering, Singapore, Singapore, (10)University College London, Institute for Risk and Disaster Reduction, London, United Kingdom, (11)SGS - Studio Geotecnico Strutturale, Geotechnical Engineering, Rome, Italy, (12)School of Physics, Chemistry and Earth Sciences, The University of Adelaide, Adelaide, Australia, (13)University College London, London, United Kingdom, (14)Laboratory of Structural Geology and Thematic Mapping, Faculty of Sciences, Ibn Zohr University, Agadir, Morocco, (15)University of Plymouth, School of Geography, Earth and Environmental Sciences, Plymouth, United Kingdom, (16)Imperial College London, London, United Kingdom, (17)Earth Observatory of Singapore, Singapore, Singapore, (18)AKT II, London, United Kingdom, (19)Global Diversity Foundation, Wales, United Kingdom, (20)Hassan II University of Casablanca UH2C, Faculty of Science and Technology, Casablanca, Morocco, (21)Geology and Sustainable Mining Institute, University Mohammed VI Polytechnic, Benguerir, Morocco, (22)Moroccan Biodiversity & Livelihoods Association, Marrakech, Morocco, (23)Ariel Re, London, United Kingdom, (24)University of Chieti-Pescara, Department of Engineering and Geology, Pescara, Italy, (25)University of Plymouth, School of Geography, Earth and Environmental Science, Plymouth, United Kingdom
 
Monitoring the 2023 Türkiye–Syria earthquakes’ impacts on agricultural land use (1954153)
He Yin1, Jesse Wong2, Sevim Seda Yamac3, Ahmet Genç4, Esmaeel Adrah5, James Tyner2, Aimee Ward6 and Levent Genc7, (1)Kent State University Kent Campus, Kent, OH, United States, (2)Kent State University, Geography, Kent, United States, (3)Necmettin Erbakan University, Konya, Turkey, (4)Çanakkale Onsekiz Mart University, Department of Urban and Regional Planning, Turkey, (5)Kent State University, Department of Geography, Kent, United States, (6)Kent State University, Kent, United States, (7)Çanakkale Onsekiz Mart University, Department of Urban and Regional Planning, Çanakkale, Turkey
 
Automatic Post Earthquake Building Survey Using Semantic Segmentation and Geospatial Interpolation (1956466)
Barak Fishbain, Leel Yehezkel and Oren Lavan, Technion Israel Institute of Technology, Civil and Environmental Engineering, Haifa, Israel
 
The Impact of the Systematic Razing of Villages in North Darfur on Agricultural Activity: A Remote Sensing Study Highlighting Gaps in Food Security Assessments (2002774)
Daniel Andersen, Rebecca Chausse, Danielle Poole and Nathaniel Raymond, Yale School of Public Health's Humanitarian Research Lab, New Haven, United States
 
Estimating Large Population Displacement in Near-real Time: A Study in North Darfur, Sudan (2002949)
Rachael Lau, Rebecca Chausse, Daniel Anderson, Danielle Poole and Nathaniel Raymond, Yale School of Public Health's Humanitarian Research Lab, New Haven, United States
 
Monitoring Conflict-related Arson Attacks in Near-real Time: A Study in Zamzam IDP Camp, North Darfur (2003015)
Rebecca Chausse1, Daniel Anderson1, Rachael Lau2 and Nathaniel Raymond1, (1)Yale School of Public Health's Humanitarian Research Lab, New Haven, United States, (2)Yale University, New Haven, United States
See more of: Informatics
<< Previous Session Proposal | Next Session Proposal >>