More example notebooks

[aazuspan]

To do

• [ ] Climatological means of net primary productivity
• [ ] Sentinel-2 / Landsat example
• [ ] Integration with geemap
• [ ] Temporal smoothing (#31)

Complete

• [x] Downloading MODIS imagery
• [x] Visualizing fire progressions from GOES-R hotspots
• [x] Climatology anomaly--June 2021 PNW heat wave
• [x] hvplot for animated time series
• [x] Integration with eemont

Any suggestions or contributions from wxee users are welcome! :)

[ErikSeras]

Hi, thanks for developing the wxee package. I was trying to repeat this example and couldn't do it in Google Colab. But looking a little more I was able to do it, maybe it will be useful for users who use wxee in Google Colab.

# Install
! pip install wxee hvplot
#! pip install holoviews

import ee
import wxee
import hvplot.xarray

ee.Authenticate()
ee.Initialize()

gridmet = ee.ImageCollection("IDAHO_EPSCOR/GRIDMET").filterDate('2021-06-15', '2021-07-05')
x = gridmet.wx.to_xarray(scale=20_000, crs="EPSG:5070")

# Show plot
import holoviews as hv
hv.extension('bokeh')

x.tmmx.hvplot(
    groupby='time',
    width=750,height=400,
    widget_type='scrubber',widget_location='bottom',
    cmap='RdBu_r'
)

[aazuspan]

Hi @ErikSeras! I was hesitating to add that to the examples since it requires installing hvplot and is more related to xarray than wxee, but I probably should in case anyone else wants to re-create it. I'll just have to decide whether to add it to an existing notebook or make a new one dedicated to visualizing datasets... Thanks for the feedback! :)