We'll need one or two notebooks that introduce specific NASA EarthData products for the tutorials.
For the moment, we'll look only at DWSx and DIST data products (maybe DIST-ANN also).
Explain as much structure as is needed for retrieval & manipulation (i.e., how to specify an area of interest (AOI), what format the data is stored in, what data structures are convenient for working with the data locally in memory, etc.)
This could be about 20-30 minutes of live instruction depending on the learners's prior knowledge.
Diagram showing abstract contents of an example granule (e.g., like pretty-printed nested dict or like Unix tree utility). For example,
Table showing file sizes of all images associated with an example granule
Picture illustrating how to decompose filenames to extract metadata (e.g.,
Pictures of tile borders & and AOI Polygon overlayed on an image of the earth (to illustrate relationship between granules & a potential AOI)
Perhaps an interactive map illustrating the above (like in EarthData Search but within Jupyter notebook (I think I can implement this easily in Folium; will check).
We'll need one or two notebooks that introduce specific NASA EarthData products for the tutorials.
This could be about 20-30 minutes of live instruction depending on the learners's prior knowledge.