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fix link remove underscore for new template #159

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Aug 11, 2023
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2 changes: 1 addition & 1 deletion episodes/06-raster-intro.md
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using one scene from the search results as an example to demonstrate data loading and visualization.

If you would like to work with the data for this lesson without downloading data on-the-fly, you can download the
raster data ahead of time using this [link](https://figshare.com/ndownloader/files/36028100). Save the `geospatial-python-raster-dataset.tar.gz`

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 [uninformative link text]: [link](https://figshare.com/ndownloader/files/36028100)
file in your current working directory, and extract the archive file by double-clicking on it or by running the
following command in your terminal `tar -zxvf geospatial-python-raster-dataset.tar.gz`. Use the file `geospatial-python-raster-dataset/search.json`
(instead of `search.json`) to get started with this lesson.
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## View Raster Coordinate Reference System (CRS) in Python
Another information that we're interested in is the CRS, and it can be accessed with `.rio.crs`. We introduced the concept of a CRS in [an earlier
episode]({{ page.root }}{% link _episodes/03-crs.md %}).
episode]({{ page.root }}{% link episodes/03-crs.md %}).
Now we will see how features of the CRS appear in our data file and what
meanings they have. We can view the CRS string associated with our DataArray's `rio` object using the `crs`
attribute.
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