The new wheel now includes the proj.db, which is close to the size of grids that were removed. Also, PROJ requires more dependencies, so that is also a likely factor. It might work, but I wouldn't

Hi Sean, Thanks a lot for this upcoming release, I am really looking forward to using some of its new features! Out of interest, the 1.2b1 wheels do not seem to be lighter than the 1.1.8 wheels even

Hi Paolo, Welcome! I ran the your file through rio-shapes and jq rio shapes --bidx 1 ~/Downloads/sample_cover.tif | jq -c 'select(.properties.val == 3.0)' | fio collect and then uploaded to a

Hello users and devs First: thanks a lot for this wonderful project, I am really enjoying using it for my geospatial needs. For a specific process I am using rasterio.features.shapes and it is working

Thanks for working on this Sean! I verified that PROJ_NETWORK=ON works with a basic test: rio_geom.py: from rasterio.warp import transform_geom geometry = [ { "type": "Polygon", "coordinates": [

Hi all, Wheels for Python versions 3.6-3.8 and manylinux1 and macos (built with xcode 9.3) are on PyPI this morning. I'd appreciate it if you could give it a try: python -m pip install

Hello, I have found references in rasterio.readthedocs.io both on how to crop/clip a raster and how to resample. I generally understand the steps and sought to combine the two steps into

+1 LGTM. Light testing of new coordinate transformation and warping with rpcs in WSL 2 Ubuntu 20.04. Sebastien

Hi all, Some wheels and an sdist for rasterio 1.2a1 are on PyPI today. I'd appreciate some testing by adventurous folks. The change log is behind the curve, but the new features are listed in

Great, thanks Sean. As I’m sure you figured out from my original example, but I wasn’t explicit about, was that filling with 255 when the numpy dtype was bool resulted in True, which then gets

Update: https://github.com/mapbox/rasterio/issues/2041. Thanks for bringing this up, Matt. -- Sean Gillies

Hi Matt, You may get better results using numpy.where, like "(where (>= (read 1) 0.5) 1 0)". I'll dig into the filling code, that looks like a bug to me. -- Sean Gillies

Hi all, I'm wondering if I'm using rio-calc incorrectly to achieve what I'd like to do. I have a floating-point raster that ranges from 0.0-1.0 with areas in the raster that are masked. I'd like to

Hey Sean, I made it work using your tests! Thanks for that ;) Cheers Alex

Hi Alex, Is your approach any different than the examples in https://github.com/mapbox/rasterio/blob/master/tests/test_sampling.py? -- Sean Gillies

Hi Loïc, A test that requires 3.3 would be welcome. The next time we have a rasterio release I will patch GDAL the GDAL library in the wheels we publish on PyPI.

Many thanks Sean and Even, So with rasterio compiled against gdal 3.3 I'll be able to force ignore overviews? If that deserves a new rasterio unit test I'm happy to send a pull request in the coming

Hello, I would like to sample the value of my raster at one single point location. I have passed the coordinates as an iterable to the sample() function. However, I am not able to extract the value

Hi Even, Thanks! -- Sean Gillies

Was left as an exercice for a contributor: https://github.com/OSGeo/gdal/pull/3181 Even -- Spatialys - Geospatial professional services http://www.spatialys.com