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Is there in Rasterio any way to create a mosaic?

I tried to google it, but I couldn't find anything, maybe someone else already used it.

I want to use some open source possibilities, I already know of possibility to use gdalmerge, gdalwarp.

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    That would be merge from the rasterio.merge module, or rio merge from the command line. – Loïc Dutrieux Jul 11 '17 at 16:50
  • Thank you. I like the vision of using CLI however I found only 'rio-merge-rgba', is there possibility that 'rio-merge' is over? – J.Coo Jul 11 '17 at 17:41
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    It's rio merge without the dash. rio --help will give you the list of all CLIs, and rio merge --help will give you more specific help for that command in particular. – Loïc Dutrieux Jul 11 '17 at 17:49
  • Thank you very much, you are really helping me. Do you maybe know something about resampling, please? In rio-merge-rgba I read it doesn't work with bilinear and there is forced nearest neigbour. – J.Coo Jul 11 '17 at 19:04
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    If you need to resample then I suggest you use gdalwarp instead. It does mosaicking, reprojecting/resampling all at once. – Loïc Dutrieux Jul 11 '17 at 19:45
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Rasterio's rio warp command (see https://github.com/mapbox/rasterio/blob/master/rasterio/rio/warp.py) can be used to make image mosaics. With a little work you could use that function in Python code, not just as a command line program.

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import rasterio
import numpy as np
from rasterio.merge import merge
from rasterio.plot import show

src1 = rasterio.open('/path/to/your/raster1')
src2 = rasterio.open('/path/to/your/raster2')

# Taking a peek to make sure these are the rasters you want...
show(src1)
show(src2)

srcs_to_mosaic = [src1, src2]

# The merge function returns a single array and the affine transform info
arr, out_trans = merge(srcs_to_mosaic)

show(arr) # Check to make sure the merge looks good.

I was just looking for a similar technique and found this method based on the rasterio/merge.py function given here.

You can check out my example with two orthomosaic images here.

However, I'm not sure this is the best method...no doubt the dude himself @sgillies has more insight into this!

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