NH015
Earth Observations for Monitoring and Assessment of Risk and Resilience of Communities and Infrastructure
Session ID#: 252993
Session Description:
Availability of large volumes of imagery at high spatial and temporal resolutions from various sources and advancements in imagery and computational sciences have enabled implementation of near real-time analytics to inform decisions about risk, resilience, response, and recovery. Extreme events threaten critical infrastructure and contribute to cascading infrastructure failures, so providing timely and reliable information about pre-disaster conditions, post-disaster loss, and recovery progression is crucial for response management, resource allocation, recovery activities, and risk reduction. We invite papers focusing on data and image fusion, algorithms and models for near real-time analytics, and applications of emerging theories, tools, and methods for disaster informatics and risk visualization, including digital twin, generative AI, mobile/edge computing, augmented/virtual reality, and other emerging technologies. We also invite papers on multi- and inter-disciplinary implications arising from data quality, social/physical uncertainties, studies of compound events, ethics of using EO and AI, and future directions to improve resilience.
Co-Sponsor(s):
Index Terms:
0240 Public health [GEOHEALTH]
1910 Data assimilation, integration and fusion [INFORMATICS]
4332 Disaster resilience [NATURAL HAZARDS]
4337 Remote sensing and disasters [NATURAL HAZARDS]
Primary Convener: Margaret T Glasscoe, University of Colorado at Boulder, Boulder, United States
Conveners: Bandana Kar, National Renewable Energy Laboratory, Washington, DC, United States, Prof. Albert Kettner, University of Colorado Boulder, Boulder, United States, ZhiQiang Chen, University of Missouri Kansas City, Kansas City, MO, United States and Guy Schumann, RSS Hydro SARL, Luxembourg, Luxembourg
Improving Risk and Hazard Assessment using Airborne and Spaceborne Observations of Surface Topography and Vegetation Structure (Invited) (1846971)
Andrea Donnellan, Purdue University, West Lafayette, United States, Craig Len Glennie, University of Houston, Department of Civil & Environmental Engineering, National Center for Airborne Laser Mapping, Houston, TX, United States and Surface Topography and Vegetation Study Team
Assessment of deep learning models integrated with weather and environmental variables for wildfire spread prediction and a case study of the 2023 Maui fires (1858847)
Yingjie Hu1, Jiyeon Kim2, Negar Elhami Khorasani3, Kai Sun2 and Ryan Zhenqi Zhou2, (1)University at Buffalo, Buffalo, NY, United States, (2)University at Buffalo, Buffalo, United States, (3)State University of NY at Buffalo, Department of Civil, Structural, and Environmental Engineering, Buffalo, United States
EARTHQUAKE RISK MAPPING using PROBABILISTIC and EXPOSURE-VULNERABILITY MODELLINGSharmistha Sonowal1,3, Donato Amitrano2, Antonio Elia Pascarella3 , Ravi Kumar1,3, Giovanni Giacco31Department of Civil, Building and Environmental Engineering, Sapienza University of Rome2Italian Aerospace Research Centre3Latitudo40 (1914033)
Sharmistha Sonowal1,2, Donato Amitrano3, Antonio Elia Pascarella4, Ravi Kumar2 and Giovanni Giacco4, (1)Sapienza University of Rome, Department of Civil, Building and Environmental Engineering, Rome, Italy, (2)Sapienza University of Rome, Rome, Italy, (3)Italian Aerospace Research Centre, Capua, Italy, (4)Latitudo40, Naples, Italy
Harnessing CYGNSS for Humanitarian Impact: Co-Designing Flood Products for Disaster Risk Management (1920152)
Prof. Albert Kettner, University of Colorado at Boulder, CSDMS/INSTAAR, Boulder, CO, United States, Brandi Downs, Ohio State University Main Campus, Electrical & Computer Engineering, Columbus, United States, Andrew Kruczkiewicz, Columbia University, International Research Institute for Climate and Society, Palisades, NY, United States, Nereida Rodriguez-Alvarez, Jet Propulsion Laboratory/California Institute of Technology, Pasadena, CA, United States, Cinzia Zuffada, Jet Propulsion Laboratory, Pasadena, CA, United States and brandi downs
The role of satellite analysts in hazard response (1953811)
Emily Smail1, Wilfrid Schroeder2, Jamie Kibler1, Juan Velasco3, Michael Turk1, Ian Zelo1 and Jamie Kibler, (1)NOAA, NESDIS Office of Satellite and Product Operations, College Park, United States, (2)NOAA, NESDIS Office of Satellite and Product Operations, College Park, MD, United States, (3)NOAA National Environmental Satellite, Data, and Information Service, Silver Spring, United States
Uncovering Levee Failures: Remote Sensing Approaches for Early Detection (1954678)
Rajalakshmi Rajappan1, Noha Ismail Medhat2, Debayan Ghosh3, Puneet Bhaskar3, Thomas Oommen4 and Anand Puppala3, (1)University of Mississippi Main Campus, Geology and Geological Engineering, University, MS, United States, (2)University of Mississippi, Geology and Geological Engineering, Oxford, United States, (3)Texas A&M University College Station, Civil and Environmental Engineering, College Station, United States, (4)University of Mississippi Main Campus, Geology and Geological Engineering, Oxford, United States
Bridging Data Gaps for Resilience: Integrating Earth Observation and Socioeconomic Data for Flood Risk Assessment and Decision Support in Africa (1973152)
Giriraj Amarnath, International Water Management Institute, Silverton, South Africa, Kalpani Jayamini, International Water Management Institute, Colombo, Sri Lanka, Niranga Alahacoon, International Water Management Institute (IWMI), Colombo, Sri Lanka, Dhyey Bhatpuria, International Water Management Institute, New Delhi, India, Suman Kumar Padhee, International Water Management Institute (IWMI), New Delhi, India, Yakob Umer, International Water Management Institute, Pretoria, South Africa and Abdulkarim Seid, International Water Management Institute, ADDIS ABABA, Ethiopia
Assessing Global Multiple Hazard Impacts on Human Society with High-Quality Nighttime Light Remote Sensing Data (1975084)
Yang HU, University of Michigan Ann Arbor, Institute for Global Change Biology, Ann Arbor, United States, Peter Reich, University of Michigan, Institute for Global Change Biology, Ann Arbor, United States, Kathryn Grace, University of Minnesota Twin Cities, Geography, Minneapolis, United States, Arun Agrawal, University of Notre Dame, Notre Dame, United States and Dai Yamazaki, The University of Tokyo, Institute of Industrial Science, Tokyo, Japan
Daily Inundation Extent Forecasting for the Hindu Kush Himalaya by Combining Sentinel-1 SAR with River Discharge Information (Invited) (1983295)
Franz Josef Meyer1, Kas Knicely2 and Victor Devaux-Chupin1, (1)University of Alaska Fairbanks, Geophysical Institute, Fairbanks, AK, United States, (2)University of Alaska Fairbanks, Geophysical Institute, Fairbanks, United States
Evaluating Bridge-Adjacent Slope Stability Using a Multi-Resolution Remote Sensing Framework (1986848)
Ali Khosravi, Assistant Professor, Civil and Environmental Engineering, Auburn, United States, Zahra Ghorbani, Auburn University, Aubrun, United States, Yasser Maghsoudi, University of Exeter, Exeter, EX4, United Kingdom and Raul Velasquez, Minnesota Department of Transportation, Saint Paul, United States
Linking Ground Displacement and Moisture Estimates at Tailings Impoundments Using Sentinel-1 SAR Data (1986937)
Arden Pierce1, Noha Ismail Medhat1, Kathryn Marlor2, Thomas Oommen1 and Sidike Paheding3, (1)University of Mississippi, Geology and Geological Engineering, Oxford, United States, (2)Michigan Technological University, Department of Geological and Mining Engineering and Sciences, Houghton, United States, (3)Fairfield University, Computer Science, Fairfield, United States
Evaluating Machine Learning Models for Predicting Post-Disaster Reconstruction Using InSAR: A Case Study of the 2015 Nepal Earthquake (1990557)
Shriya Kethireddy, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Paula Burgi, Independent, Seattle, United States and Prof. Sabine Loos, PhD, University of Michigan, Civil and Environmental Engineering Department, Michigan, United States
Finite Element Analysis and UAV-Based Thermal Monitoring of Prestressed Concrete Bridges: A Case Study on Temperature-Induced Structural Behavior (1993884)
Okan Özcan, Akdeniz University, Civil Engineering, Antalya, Turkey, Orkan Ozcan, Istanbul Technical University, Eurasia Institute of Earth Sciences, Department of Evolution and Ecology, Maslak, Turkey and Yusuf Gedik, Istanbul Technical University, Eurasia Institute of Earth Sciences, Department of Solid Earth, Maslak, Turkey
A Hybrid Deep Learning-Based Tool for Policy-Informed Future Land Use Change Prediction (1994676)
Lalit Pal1, Aditya Jadhav1, Vishwa Shah2, Rezvane Ghorbani1 and Siddharth Saksena1, (1)Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Blacksburg, United States, (2)Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Blacksburg, VA, United States
