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Update README.md (#2)
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README.md
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@@ -68,6 +68,10 @@ It is important to acknowledge that the CDL (Crop Data Layer) labels employed in
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### Inference
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The github repo includes an inference script an inference script that allows to run the hls-cdl crop classification model for inference on HLS images. These input have to be geotiff format, including 18 bands for 3 time-step, and each time-step includes the channels described above (Blue, Green, Red, Narrow NIR, SWIR, SWIR 2) in order. There is also a **demo** that leverages the same code **[here](https://huggingface.co/spaces/ibm-nasa-geospatial/Prithvi-100M-multi-temporal-crop-classification-demo)**.
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## Citation
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If this model helped your research, please cite `HLS Multi Temporal Crop Classification Model` in your publications. Here is an example BibTeX entry:
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### Inference
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The github repo includes an inference script an inference script that allows to run the hls-cdl crop classification model for inference on HLS images. These input have to be geotiff format, including 18 bands for 3 time-step, and each time-step includes the channels described above (Blue, Green, Red, Narrow NIR, SWIR, SWIR 2) in order. There is also a **demo** that leverages the same code **[here](https://huggingface.co/spaces/ibm-nasa-geospatial/Prithvi-100M-multi-temporal-crop-classification-demo)**.
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### Feedback
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Your feedback is invaluable to us. If you have any feedback about the model, please feel free to share it with us. You can do this by submitting issues on our open-source repository, [hls-foundation-os](https://github.com/NASA-IMPACT/hls-foundation-os/issues), on GitHub.
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## Citation
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If this model helped your research, please cite `HLS Multi Temporal Crop Classification Model` in your publications. Here is an example BibTeX entry:
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