Freddie Kalaitzis, PhD
AI • stats • earth observation • consulting • research
Orbit-to-ground framework to decode and predict biosignature patterns in terrestrial analogues - Nature Astronomy
Orbit-to-ground framework to decode and predict biosignature patterns in terrestrial analogues - Nature Astronomy
State of AI for Earth Observation (preprint/whitepaper)
State of AI for Earth Observation (preprint/whitepaper)
Authors: Freddie Kalaitzis, Maral Bayaraa & Cristian Rossi Introduction: This work is a brief survey of AI for Earth Observation, broken down into the following themes: sensor data, machine learning methods, and applications. Earth Observation, Remote Sensing, Machine Learning—are all independent fields of study with their own research communities. Many textbooks have been written on […]
University of Oxford • OATML
University of Oxford • OATML
Freddie was a part-time Senior Research Fellow, and Theme Lead of ML for Earth Observation and Remote Sensing, in the Oxford Applied and Theoretical Machine Learning lab (led by Yarin Gal) of Oxford University.
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