WEP1.PQ.2
CAN WE PREDICT THE UNPREDICTABLE? LEVERAGING DISASTERNET-LLM FOR MULTIMODAL DISASTER CLASSIFICATION
Manaswi Kulahara, TERI School Of Advanced Studies, India; Gautam Siddharth Kashyap, Macquarie University, Australia; Nipun Joshi, Cornell University, United States; Arpita Soni, Eudoxia Research University, United States
Session:
WEP1.PQ: RS for Natural Disaster Monitoring and Management I Poster
Track:
Special Scientific Themes
Location:
Poster Area
Presentation Time:
Wednesday, 6 August, 09:15 - 10:30
Presentation
Discussion
Resources
No resources available.
Session WEP1.PQ
WEP1.PQ.2: CAN WE PREDICT THE UNPREDICTABLE? LEVERAGING DISASTERNET-LLM FOR MULTIMODAL DISASTER CLASSIFICATION
Manaswi Kulahara, TERI School Of Advanced Studies, India; Gautam Siddharth Kashyap, Macquarie University, Australia; Nipun Joshi, Cornell University, United States; Arpita Soni, Eudoxia Research University, United States
WEP1.PQ.6: DETECTION OF HURRICANE-DAMAGED BUILDINGS VIA DECOUPLED UAV VIDEO SEGMENTATION
Alec Jang, Kevin Dotel, Ben Shain, Caleb Mandia, Maryam Rahnemoonfar, Lehigh University, United States
WEP1.PQ.7: DEEP LEARNING BASED FLOOD MAPPING USING REMOTE SENSING BIG DATA
Rishabh Jain, Xinyuan Chen, Ranga Raju Vatsavai, North Carolina State University, United States
WEP1.PQ.8: Improving Flood Vulnerability with Regional Adaptation and Open-Source Earth Observation Data
Ekta Aggarwal, Steve Darby, Zhifeng Cheng, Shengjie Lai, Andrew J Tatem, University of Southampton, United Kingdom
WEP1.PQ.10: RESEARCH ON DROUGHT RISK ASSESSMENT FOR SPATIAL AND TEMPORAL DISTRIBUTION IN YUNNAN PROVINCE
Yuheng Lei, Lei He, Bin Liu, Chengdu University of Information Technology, China; Yuxia Li, University of Electronic Science and Technology, China; Yunhao He, Ming Wang, Chengdu University of Information Technology, China
Resources
No resources available.