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Hannah Kerner
Arizona State UniversityMeeting roles in:
Machine Learning and Data Science Methods for Planetary Science I Poster
Machine Learning and Data Science Methods for Planetary Science II Oral
Deploying GeoAI Systems in Real-World Agricultural Applications
Global Field Boundary Delineation Model Zoo and Tooling
Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks
Pretrain Here: How the Spatial Distribution of Pretraining Data Shapes Remote Sensing Transferability
Advancing Artificial Intelligence for Remote Sensing: Overcoming Data Scarcity and Domain Shift I Oral
User-Centered Earth Observation and AI Tools for Agricultural Resilience in Maui County
Investigating the Benefits of the Foundation Model for Mars Science Applications
Advancing Artificial Intelligence for Remote Sensing: Overcoming Data Scarcity and Domain Shift II Oral
Combining open labeled datasets with varying domains to improve large-scale agricultural field boundary delineation
Advancing Artificial Intelligence for Remote Sensing: Overcoming Data Scarcity and Domain Shift III Poster
Evaluating Conflict Effects in Sudanese Agriculture
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