THP1.PC.1
CAN THE PRITHVI-EO-2.0 FOUNDATION MODEL IMPROVE RAPID MAPPING OF RAINFALL-INDUCED LANDSLIDES?
Pukar Amatya, Jessica Sutton, Nishan Kumar Biswas, Thomas Stanley, University of Maryland Baltimore County, United States
Session:
THP1.PC: Geo-foundation and generative models for EO-based informed disaster risk response Poster
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Thu, 13 Aug, 09:45 - 11:00
Session Co-Chairs:
Getachew Workineh Gella, University of Salzburg and Stefan Lang, University of Salzburg
Presentation
Discussion
Resources
No resources available.
Session THP1.PC
THP1.PC.1: CAN THE PRITHVI-EO-2.0 FOUNDATION MODEL IMPROVE RAPID MAPPING OF RAINFALL-INDUCED LANDSLIDES?
Pukar Amatya, Jessica Sutton, Nishan Kumar Biswas, Thomas Stanley, University of Maryland Baltimore County, United States
THP1.PC.2: A MULTI-TASK LEARNING FRAMEWORK FOR LANDSLIDE DETECTION AND INTERPRETATION
Xin Li, Lei Lei, Xiujuan Li, School of Resources and Environment, University of Electronic Science and Technology of China, China; Li Ni, Aerospace Information Research Instituteļ¼ Chinese Academy of Sciences, China; Gengle Zhao, Hua Wu, School of Resources and Environment, University of Electronic Science and Technology of China, China
THP1.PC.3: Reliable Oil Spill Detection: Fine-Tuning Pretrained Models with Evidential Learning
Chenhao Xu, Tongji University, China; Mingrui Li, Zeyu Tian, National University of Singapore, China; Lu Wang, Hongbo Sun, Institute for Infocomm Research (I2R), A*STAR, Singapore
THP1.PC.4: DA-SEGFORMER: DAMAGE-AWARE SEMANTIC SEGMENTATION FOR FINE-GRAINED DISASTER ASSESSMENT
Kevin Zhu, William Tang, Raphael Hay Tene, Zesheng Liu, Nhut Le, Maryam Rahnemoonfar, Bina Labs, United States
THP1.PC.5: LEVERAGING FROZEN EO FOUNDATION MODELS FOR MULTI-SENSOR HAZARD DETECTION AND RISK MAPPING
Donia Bougrine, David Petit, Metaplanet, France
Contacts