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2024 IEEE International Geoscience and Remote Sensing Symposium
“Acting for Sustainability and Resilience”
7 - 12 July, 2024 • Athens, Greece
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Technical Program
Session TU1.R4
TU1.R4: EY Open Science Data Challenge: Coastal Resilience
Tue, 9 Jul, 09:00 - 10:40
Location:
Conference Hall 1
Session Type:
Oral
Session Co-Chairs:
Brian Killough, EY and Borja Reguero, University of California, Santa Cruz
Track:
Community-Contributed Sessions
Tue, 9 Jul, 09:00 - 09:14
TU1.R4.1: An Overview of the EY Open Science Data Challenge
Brian Killough, EY, United States
Tue, 9 Jul, 09:14 - 09:28
TU1.R4.2: COASTAL AREAS DEFENDER: STORM DAMAGE AI SOLUTION
Anhui Shi, Zekai Shi, China Unicom Research Institute, China
Tue, 9 Jul, 09:28 - 09:42
TU1.R4.3: A DISASTER RESPONSE MODEL FOR TROPICAL STORM DAMAGE DETECTION IN SATELLITE IMAGERY
Adrian Przybysz, Weronika Lipska, Łukasz Klein, Khaled Abo Shamleh, Ernst & Young, Poland
Tue, 9 Jul, 09:42 - 09:56
TU1.R4.4: A deployment plan for an AI model to support coastal infrastructure damage assessment from a tropical storm
Jan Frýda, Mykhailo Naumenko, Jan Nusko, David Nikodém, EY, Czech Republic
Tue, 9 Jul, 09:56 - 10:10
TU1.R4.5: COASTAL RESILIENCE PLANNING: HARNESSING DATA INSIGHTS TO ASSESS AND MITIGATE FUTURE TROPICAL CYCLONES IMPACTS IN VULNERABLE COASTAL COMMUNITIES
Francis Chong, Sylvia Moey, EY, Malaysia
Tue, 9 Jul, 10:10 - 10:24
TU1.R4.6: COASTLINE RESILIENCE: LEVERAGING SATELLITE IMAGERY AND THE CO-DETR MODEL FOR STORM DAMAGE ASSESSMENT
Erwin Deng, CentraleSupélec, France
Tue, 9 Jul, 10:24 - 10:38
TU1.R4.7: Next-Gen Coastal Protection: Leveraged AI Models for Improved Disaster Response and Planning
Ngai Sang Lau, Ka Fai Chan, King Hin Sin, The Hang Seng University of Hong Kong, Hong Kong SAR of China