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* STAC API (metadata): [staging-stac.delta-backend.com/docs](https://staging-stac.delta-backend.com/docs)
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* List collections: [staging-stac.delta-backend.com/collections](https://staging-stac.delta-backend.com/collections)
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* Raster API (map tiles and timeseries): [staging-raster.delta-backend.com/docs](https://staging-raster.delta-backend.com/docs)
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* Features API (vector data): [firenrt.delta-backend.com](https://firenrt.delta-backend.com) - see also the [usage tutorial](../notebooks/tutorials/mapping-fires.html)
@@ -51,8 +51,8 @@ That is because, unfortunately, neither XYZ nor WMTS have time series capabiliti
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You can see how to retrieve time steps and tile layer URLs from these tutorial Python notebooks (mostly REST API calls):
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1.[Using /stac/tilejson.json with STAC collection and item IDs](../notebooks/datasets/ocean-npp-timeseries-analysis.qmd#visualizing-the-raster-imagery)
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2.[Creating layers from filters and mosaics (advanced)](../notebooks/quickstarts/hls-visualization.qmd)
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1.[Using /stac/tilejson.json with STAC collection and item IDs](../notebooks/datasets/ocean-npp-timeseries-analysis.html#visualizing-the-raster-imagery)
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2.[Creating layers from filters and mosaics (advanced)](../notebooks/quickstarts/hls-visualization.html)
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It comes down to querying for STAC items (timesteps) and then asking the Raster API for `tilejson.json` specifications for the items you are interested in.
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