Greetings, Questions about installation, distribution, and usage of Rasterio are welcome here. Issues opened in Rasterio's GitHub repo that fall into one these categories may be perfunctorily

Hi all, I almost forgot to announce here before the holiday! The Rasterio 1.0rc3 source distribution and wheels for macos 10.9 (or greater) and manylinux1 platforms are on PyPI now:

Hi there! I have a general question about reprojection. Consider the following example: with rasterio.open(fname_src) as src: with rasterio.open(fname_dst, 'w', **kwargs) as dst: for i in

Hi Denis, Yes, you can warp arbitrarily large rasters when you use rasterio.band(). The warper chunks the work so that its working arrays are no more than 64 MB in size. You can increase this limit

Thank you very much, Sean, for such detailed reply!

Hi all, The Rasterio 1.0rc4 source distribution and wheels for macos 10.9 (or greater) and manylinux1 platforms are on PyPI now: https://pypi.org/project/rasterio/1.0rc4/. Please remember that pip

Hi all, The Rasterio 1.0rc5 source distribution and wheels for macos 10.9 (or greater) and manylinux1 platforms are on PyPI now: https://pypi.org/project/rasterio/1.0rc5/. Please remember that pip

Hello everyone, I’m a new member of rasterio group willing to know more about rasterio and satellite image processing. I’m also new in programming, so, don’t be surprised if I make weird

Hey there, Thanks for a great library - I've just been getting into it via the rio-tiler library where I'm building an app for showing imagery in combination with stream gauge data (see below). What

Hi, all. We, the authors, are pleased to announce the release of Rasterio 1.0.0. What is the significance of 1.0.0? Stability. After more than a year of changes, there is at last a stable base for

In gdalwarp we have at least two options for managing of output size of a raster: -tr xres yres: set output file resolution (in target georeferenced units) -ts width height: set output file size in

Looks like you are most of the way there. If you have a dataset open with `rasterio.open`, then you should be able to get the information you need for the input: with

This may be what you are looking for as well: rasterio.transform.from_bounds

Thanks for reply. I could not find what I need in rasterio and have created PR: https://github.com/mapbox/rasterio/pull/1409

Hello all, I have a raster that uses LERC compression. Opening/reading from the raster works fine, however I get the following error when trying to access the `.profile` property: ValueError: 'LERC'

Hi all. Congrats on the 1.0.0 release! Using rasterio 1.0.0 (installed from conda-forge in a fresh conda env). I'm having trouble copying the CRS from on dataset to another. The output dataset CRS

Hi Caleb, Sure, a PR would be welcome. This compression algorithm isn't available in a GDAL release yet, but it doesn't do any harm to have it enumerated in Rasterio. Behavior for Rasterio 1.0.0 and

Hi Luke, Unfortunately, I cannot reproduce your results on my computer. $ python Python 3.6.6 (v3.6.6:4cf1f54eb7, Jun 26 2018, 19:50:54) [GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)] on

Hi there! I have GeoTIFF files with internal mask and I need to reproject them and not lose mask. I've found that direct generating warped mask band is not supported by GDAL:

My GDAL_DATA env var wasn't set. Explanation: I was running the code within the PyCharm IDE that supposedly supports conda envs but doesn't actually *activate* them properly. There are init scripts