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@@ -24,7 +24,7 @@ Key features:
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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. :contentReference[oaicite:5]{index=5}
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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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