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Pre-computed embeddings can outperform traditional supervised models in estimating global biomass, reshaping our approach to carbon stock monitoring.
Deep learning models for ecological forecasting can finally keep pace with mechanistic models under climate change, thanks to a new domain adaptation technique that handles temporal distribution shifts.
Existing deforestation monitoring maps misclassify smallholder agroforestry as "forest," risking unfair penalties under regulations like the EUDR.