Instructions to use embed2scale/TerraCodec-1.0-ELIC-S2L2A with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TerraTorch
How to use embed2scale/TerraCodec-1.0-ELIC-S2L2A with TerraTorch:
from terratorch.registry import BACKBONE_REGISTRY model = BACKBONE_REGISTRY.build("embed2scale/TerraCodec-1.0-ELIC-S2L2A") - Notebooks
- Google Colab
- Kaggle
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Compared to classical codecs such as JPEG2000 or WebP, TerraCodec achieves **3–10× higher compression at comparable reconstruction quality** on multispectral satellite imagery. Temporal models further improve compression by exploiting redundancy across seasonal image sequences of satellite imagery.
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