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  CLOSP (Contrastive Language Optical SAR Pretraining) is a multimodal architecture designed for text-to-image retrieval.
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  It creates a unified embedding space for text, Sentinel-2 (MSI), Sentinel-1 (SAR), and location data.
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- The GeoCLOSP-RN variant uses a ResNet-50 vision backbone.
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  ## Model Details
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  The model uses four separate encoders: one for text, one for Sentinel-1 (SAR) data, one for Sentinel-2 (MSI), and one for location data.
 
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  CLOSP (Contrastive Language Optical SAR Pretraining) is a multimodal architecture designed for text-to-image retrieval.
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  It creates a unified embedding space for text, Sentinel-2 (MSI), Sentinel-1 (SAR), and location data.
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+ The GeoCLOSP-RN variant uses a ResNet-50 vision backbone and SatCLIP location encoder.
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  ## Model Details
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  The model uses four separate encoders: one for text, one for Sentinel-1 (SAR) data, one for Sentinel-2 (MSI), and one for location data.