Preprint
Aug 2026
Earth Observation Foundation Models for Terrestrial Ecohydrology: From Representation Learning to Process Inference
Earth observation foundation models (EOFMs) are emerging as reusable representation frameworks for data-driven retrieval, prediction and process modelling within ecohydrology, which integrate EO, meteorological forcing and process models to characterise coupled water, energy and carbon dynamics in vegetation and soil a...
Yi Yu, Jiankun Peng, Yu-Cheng Lin et al.
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