Hi All, I'll answer for Kyle but he can jump back if needed. The problem Kyle was facing was due to GDAL3 (running on AWS Lambda, CentOS) being extremely slow for image reprojection. We faced this

Hey Kyle, maybe I can help out here. - asyncio's run_in_executor does the exact same thing as using a thread pool, it's just a different API. Until both GDAL and rasterio explicitly support this,

Hi, First of all, I'm not very familiar with rio-tiler. Hopefully, Vincent will help us out. A constant time regardless of the amount of overlap suggests to me that your source files may lack the

The warnings are bare when using rasterio (neither of those two prefixes). Packages were all installed via conda/conda-forge on Windows 10: gdal version 3.0.4 rasterio version 1.1.3 proj version

Hi Greg, Do you see a bare "proj_create_from_database: datum not found" or do you see ERROR 1: PROJ: proj_create_from_database: datum not found as in https://github.com/OSGeo/gdal/issues/2321? Which

Hi all, As of GDAL 3 I've started seeing warnings written to stderr on open, such as: It's possible that these datasets have malformed projection information, but in cases where I don't care I'd like

Hi, Have you seen https://rasterio.readthedocs.io/en/latest/topics/color.html#writing-colormaps ? It shows how to write a colormap (or color "ramp") to a new file. You can also open an existing file

Actually, that second link looked like he had the format where it was using decimal based values, that might work. I'll give it a try. Thanks!

Thanks Trent, I have looked into that, but the part of using the colormap.txt portion still is a bit confusing. I haven't been able to find sufficient documentation on how to create that file to

Nathan, Not sure about using rasterio, but have you tried gdaldem using "color-relief"? more: https://khufkens.com/2016/03/09/map-colours-onto-data-values-in-gdal/ shows creating a colorized image

Does anyone have any methods of applying a color ramp to a grayscale image? I have a NDVI calculated image I am trying to apply color ramp for the decimal based value ranges, but have no idea how to

I'm trying to improve performance of dynamic satellite imagery tiling,

It's not possible to change the shape of a raster dataset, the number of bands, or the data type in place. -- Sean Gillies

I have two rasters, and one of them has one more column than the other. So I want to remove the last column in the larger one. How can I change the raster width in place without having to do a with

Hi, I have a couple comments on the code. You need to pass `tiled=True` to rasterio.open(), "tiled", and you should pass blockxsize and blockysize parameters as well. These must be multiples of 16.

Thanks to @Sean Gillies. Posting here the solution I also posted on gis.stackexchange.com (https://gis.stackexchange.com/a/353869/9518). Maybe it would be useful for others in search of a solution for

The overview_level did the trick! Thank you so much, I was after this for a long time. Umberto Minora

This is very interesting, I could not find the reference to overview_level in the documentation. Definitely going to test it! My aim is to read a specific overview (the greatest level) from a raster

Try going the other way - multiply the resolution by a scale factor (i.e. 3 in your case) and divide the dimensions - see example gist

I am resampling a raster to become a different resolution, but it seems like the resolutions are not entirely accurate. Here is the code I have (the code is very standard, taken from the