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I have successfully generated an orthomosaic TIF image from a road survey consisting of approximately 1200 images. These images are all located along a single line, reflecting the nature of a road survey. To generate the orthomosaic, I used the Agisoft engine, which has performed well up to this point.

However, when I attempt to convert this generated orthomosaic TIF image into a COG using the rio cogeo create input.tif output.tif command, I encounter some unknown issues that prevent the conversion from completing successfully.

How do I troubleshoot and resolve this issue?

Does anyone have experience with similar conversions or can recommend alternative methods to achieve the desired COG output?

PolyGeo
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Dhanraj Jain
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    Is "some unknown issues" really all that you know about the problem? – user30184 Sep 20 '23 at 19:25
  • I have also attempted this on multiple systems with high specifications, but the same issue persists. I successfully converted the 25 GB orthomosaic TIF but encountered an issue with the 12 GB orthomosaic TIF, generated from a road survey. The log indicates that the orthomosaic TIF is created but not written when attempting to convert it into COG. – Dhanraj Jain Sep 21 '23 at 05:36
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    Show the logs then. – bugmenot123 Sep 21 '23 at 12:48

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A first test might be to confirm whether rio is working correctly. You could do the conversion with GDAL as I see there is a COG raster driver for GDAL.

I think this command would work but I have not tried a COG conversion myself.

gdal_translate -of COG <input filename> <output filename>

If you have ArcGIS or QGIS installed you would have access to the GDAL Python bindings and I see there is a Python solution posted here.

GBG
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  • I preferred using GDAL for COG conversion initially but encountered installation issues. Therefore, I opted for "rio cogeo create" as an alternative solution. – Dhanraj Jain Sep 21 '23 at 10:29
  • There is also cogger https://github.com/airbusgeo/cogger that is made for converting generic tiffs into cogs. – user30184 Sep 21 '23 at 19:03