rioxarray: reproject match

[snowman2]

https://corteva.github.io/rioxarray/stable/examples/reproject_match.html

This is useful for making sure the CRS, resolution, bounds match for raster calculations as mentioned in the MODIS/Landsat/NAIP sections.

[nkorinek]

Hey @snowman2 ! Thanks again for doing this review. In regards to reproject match, I had looked into this function before, but didn't ever find a time when we would use it? We only ever reproject a raster to match a GeoDataframe CRS, so I can't use it there. Is there somewhere else you were thinking of using this function? I may just not be fully understanding, apologies! Could be something to ad to the end of this lesson maybe? https://www.earthdatascience.org/courses/use-data-open-source-python/intro-raster-data-python/raster-data-processing/reproject-raster/

[snowman2]

That would be a good location for it. It may also be useful to mention here: https://www.earthdatascience.org/courses/use-data-open-source-python/multispectral-remote-sensing/vegetation-indices-in-python/

It helps ensure the resolutions/CRS/extent all match up before performing calculations.