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@@ -26,7 +26,7 @@ The pretrained [Prithvi-100m](https://huggingface.co/ibm-nasa-geospatial/Prithvi
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  4. Narrow NIR
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  5. SWIR 1
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  6. SWIR 2
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  It is important to point out that the HLS Burn Scar Scenes dataset includes a single timestep, while the Prithvi-100m was pretrained with 3 timesteps. This highlights the flexibility of this model to adapt to different downstream tasks and requirements.
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  ### Code
 
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  4. Narrow NIR
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  5. SWIR 1
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  6. SWIR 2
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+ ![](burn_scar.png)
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  It is important to point out that the HLS Burn Scar Scenes dataset includes a single timestep, while the Prithvi-100m was pretrained with 3 timesteps. This highlights the flexibility of this model to adapt to different downstream tasks and requirements.
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  ### Code