Geospatial embeddings detect old-growth forests but buffered spatial validation narrows their advantage over Sentinel features

arXiv:2609.28194 · cs.LG, cs.CV, eess.IV · Submitted 2026-09-23 · Read on arXiv

cs.LG, cs.CV, eess.IV

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/ratsakatika/detec

Terminology

• AUC — 83× in this paper · explained in 2 episodes
• Embeddings — 42× in this paper · explained in 2 episodes
• Foundation Model — 12× in this paper · explained in 3 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Foundation Models — 5× in this paper · explained in 7 episodes
• Aggregation — 4× in this paper · explained in 1 episode
• Aperture — 3× in this paper · explained in 1 episode
• Calibration — 3× in this paper · explained in 7 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Copernicus Land Monitoring Service — 1× in this paper
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• European Space Agency — 1× in this paper
• Generative AI — 1× in this paper · explained in 2 episodes
• Information Leakage — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Review on Convolutional Neural Networks — 1× in this paper
• Robustness — 1× in this paper · explained in 5 episodes
• Selected Vegetation Phenology and Productivity — 1× in this paper
• Transferability — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data
• TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis
• TESSERA v2: Scaling Pixel-wise Earth Foundation Models

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