Hi all, If you've been unable to install rasterio in --non-binary mode today, please see https://github.com/mapbox/rasterio/blob/master/CHANGES.txt#L14-L18 for details on the fix in version 1.2.6. --

Hi all, I messed up the 1.2.5 source distribution (the .tar.gz) and there is a breakpoint set in it. I don't see any better fix than to release a 1.2.6 version later today. The 1.2.5 wheels are fine.

Hi all, Rasterio 1.2.5 distributions were uploaded to PyPI yesterday evening. Here are the changes: https://github.com/mapbox/rasterio/blob/master/CHANGES.txt#L17-L21. Thank you for the bug reports

Hi, I'm happy report that you won't have this problem with version 1.2.5, which is coming soon to PyPI. As a part of the work to fix the bug noted at

Hi, Thanks for bringing this up! To be sure that I understand, are you proposing that potentially any cloud platform would be made first class in rasterio, concretely, as in GDAL and as with

Hi Yon, The intent is that rasterio.warp.reproject, given the values output from calculate_default_transform, will produce a result close to that of GDAL's gdalwarp utility *without* its "-tap"

Hi Amaury, Sorry for the late reply. Rasterio depends on GDAL and support for mixed data types in that library varies across the different format drivers. GeoTIFF is constrained, but others are not.

Hi Everyone, I understand that AWS S3 is by far the most common cloud object store provider, especially in the geospatial community. Unfortunately some users don't get to choose which object store

Greetings everyone, I am trying to do reprojection in chunks and have been using rasterio.warp.calculate_default_transform for getting the projected extent and transform of the chunk. However, I

I'm not sure if this is a bug or a subtle unexpected behaviour of the function rasterio.merge.merge. I'm creating a mosaic with several images for the whole globe. The resolution is such that the

Hello everyone, I was wondering if there are any good examples/reasons for having rasters that contain bands with mixed dtypes e.g. ('uint8', 'float32'). This seem to be mostly supported in

Hello, I have been running into some puzzling errors with windowed reads of COGs in Mollweide crs. The read raises a CPLE_AppDefinedError on transforming the window to the dataset crs the first five

Hi Sean regarding the change in web mercator, I guess this is due to a subtle change where we don't check anymore if latitude is close enough of PI/2 to decide the point doesn't

Hi all, Here is the list of bug fixes in rasterio 1.2.4: https://github.com/mapbox/rasterio/blob/master/CHANGES.txt#L13-L32 The wheels on PyPI for this version now include GDAL 3.3.0 and GEOS 3.9.1.

Thanks, Sebastian! rasterio.plot.show cannot deal with complex arrays. It looks like a library called mpmath can, might be worth looking in https://mpmath.org/gallery/.-- Sean Gillies

Looks like your data is Single Look Complex (SLC), you'll need to convert it to float. You can do this yourself with numpy, or with https://gdal.org/drivers/raster/derived.html GDAL (which rasterio

I'm a first time user. I downloaded a Sentinel-1 granule. I'm now trying to visualize it via the following script:However this gives me the following error:What else do I need to do?

Hi Darren, I've seen this error message before, and opened an issue at https://github.com/OSGeo/gdal/issues/2278. I haven't tried to reproduce the error with GDAL 3.3 yet. -- Sean Gillies

rasterio.transform.from_origin(west, north, xsize, ysize) Return an Affine transformation given upper left and pixel

I am trying to reconcile the transforms that I get by using transform.from_origin and transform.from_bounds bounds = BoundingBox(left=1679712.0, bottom=5860848.0, right=1862208.0, top=6029312.0) width