Michael Mann comments

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                                            Michael Mann

polygon_to_array returns shorter y dimension than source rasters

Currently ml functions don't work on time series stacks, this would also require time series training data. Instead you need to set `stack_dim = 'band'`. This will treat all bands...

polygon_to_array returns shorter y dimension than source rasters

Comment out band_names, it should be the same length as the total number of bands in all images

polygon_to_array returns shorter y dimension than source rasters

Do you have polygons that exceed the bounds of the images?

polygon_to_array returns shorter y dimension than source rasters

Do you have polygons that exceed the bounds of the images? Or that contain missing data?

polygon_to_array returns shorter y dimension than source rasters

This is a weird one. I've never run into it and can't reproduce without the data. Can you try seeing 'ref_image' to the first image in your list? https://geowombat.readthedocs.io/en/latest/tutorial-config.html#reference-settings-image

jgrss/store time series

I am going to try to take a look at this.

Issue on page /docs/a_intro.html

Ann thanks! Any chance you can post the Google drive link here? My GD is a mess and I'm having trouble tracking it down.

Issue on page /docs/a_intro.html

Adding the link [here](https://drive.google.com/drive/folders/1O8d5G0odtAW5d-us4UOjY15vf4YIJLnV?usp=drive_link)

Issue on page /docs/e_raster_rasterize.html

You are correct, I posted the wrong image and haven't gotten around to fixing it.

Test use of projections

Assuming you could just check the if the CRS unit is degrees or not and switch between haversine and euclidean distance no?