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Early design choices in the mapping pipeline can silently propagate errors, jeopardizing the reliability of large-scale geospatial maps.
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.
