Add support for searching NASA data interactively

[giswqs]

This PR adds support for searhcing and visualizing NASA Earth data (footprints) interacitvely.

@BriannaLind @betolink @mfisher87

Peek.2023-12-22.01-11.mp4

[github-actions]

🚀 Deployed on https://6585305738826a9104269f39--opengeos.netlify.app

[mfisher87]

That's so cool! 🤩

[BriannaLind]

This looks awesome! It looks so awesome, it got me thinking - is there a way to pull out coincidental datasets?

[giswqs]

What are coincidental datasets?

[giswqs]

An updated demo:

88_nasa_earth_data.mp4

[BriannaLind]

Like ones that occur at generally the same time/ date and place...... So for example, it could be like ECOSTRESS, LANDSAT, and VIIRS from the same day and location

[giswqs]

Yes, it should be feasible with code. Maybe a bit crowded to have the multi-select option on the GUI

[betolink]

For what it's worth, earthaccess will have something like this hopefully soon, see https://github.com/nsidc/earthaccess-gallery/blob/main/notebooks%2Fexplore.ipynb and like @giswqs mentions, it gets a bit crowded for datasets with high temporal coverage.

[giswqs]

@betolink That's great to hear. It will make my life much easier if earthaccess can retrieve the footprints directly.
I just added support visualizing in-memory raster datasets (#651), including numpy.ndarray and xarray.DataArray, paving the way for visualizing NASA Earth data interactively with leafmap.

[BriannaLind]

@giswqs @betolink very cool. Yeah --- so visually I can see it getting crowded; but as a scientist - it is legit crucial to know where data overlaps + and the quality (ie cloud coverage +) so that decisions can be made, and the scope of feasible questions can be assessed. At this point knowing there is general coverage a data table with some of the quality information would make a world of difference.