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README.md
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- Incorporates geospatial metadata (latitude, longitude) and temporal input encodings (seasonal / daily cycles) alongside image data.
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- Pretrained on the BigEarthNet Landsat dataset. :contentReference[oaicite:3]{index=3}
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- Evaluated via linear probing (frozen encoder) on downstream tasks including BigEarthNet and EuroSAT, achieving competitive performance relative to much larger models.
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- Very lightweight: model has only ~2.5 million parameters in its design.
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### Model Architecture
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- Incorporates geospatial metadata (latitude, longitude) and temporal input encodings (seasonal / daily cycles) alongside image data.
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- Pretrained on the BigEarthNet Landsat dataset. :contentReference[oaicite:3]{index=3}
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- Evaluated via linear probing (frozen encoder) on downstream tasks including BigEarthNet and EuroSAT, achieving competitive performance relative to much larger models.
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- Very lightweight: model has only ~2.5 million parameters in its design.
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### Model Architecture
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