I think the issue is that you need to use `rasterio.open`.

Hi guys, I'm trying to write to an array to a tiff as follows: profile.update(driver="GTiff", count=1) with open('res.tiff', 'w', **profile) as dst: dst.write(thresh.astype(rio.uint8), 1) However, I'm

How can I convert a 16 bit tiff to an 8 bit tiff using rasterio. I can do this via gdal_translate so I was wondering if there's a rasterio equivalent?

Yes, all rasters have nodata set to match the correct nodata value. QGIS correctly mask the nodata zone(transparent).

One thing to check would be if the nodata values are properly set on the rasters. If they are not, then merging could cause the nodata values to fill in those areas instead of the correct values.

I want to make a mosaic of satellite images. I have 7 images clipped each one to fill my BBOX exactly. Loading that images in QGIS i can see that is totally fulfilled and without gaps. Now, reading

Hi all, A source distribution and binary wheels for manylinux1 and macosx are on PyPI now: https://pypi.org/project/rasterio/1.2.0/#files. These wheels include PROJ 7.2.1 and GDAL 3.2.1 and no longer

Hi all, I think this may be it, the last pre-1.2.0 release. Would love to know if you find any issues with it. What a day! -- Sean Gillies

Hi all, Version 1.0.2 of rio-color is on PyPI today. It has one bug fix, a change to the rasterio requirement's version specifier which filters out pre-releases. Installing rio-color 1.0.1 could

Note that setting out_shape to (1200, 1200) will likely read a (1200, 1199) shaped chunk of data and resample it to (1200, 1200); which is not exactly the same as reading a 1200*1200 window. Kind

Thanks Guillaume, that did the trick :) Would also love to know the reason why that is needed. best Paolo -- Paolo Corti Geospatial software developer web: http://www.paolocorti.net twitter:

Hi, If you add `out_shape=(1200, 1200)` to your `read()` call it returns an array with the right shape. I don't know exactly why you need to specify this though. Best, Guillaume

Hi all I have the following problem: I want to read a dataset using a window with a specific shape, but the window shape isn't always honored from the returned array. You can replicate this problem

Thanks. I'll give that a go.

Hi, I don't know anything about AWS notebook instances and am not a regular conda user, so my help might be a little sketchy. In my experience, one cannot incrementally upgrade or install new packages

Hi Spencer, You're not overlooking anything. The rasterio project doesn't surface GDALComputeProximity. There are pointers to equivalent functionality in scipy at

I am attempting to install rasterio on an AWS notebook instance (essentially managed EC2 with Jupyter installed). This should be straightforward but I have already sunk several hours without success.

Hi all, Rasterio 1.2b3 is on PyPI and has a fix for https://github.com/mapbox/rasterio/issues/2079. -- Sean Gillies

I have been flying some drone surveys over the ocean and need to properly project and georeference and warp my images. I have all the information I think I need: lat, lon, altitude, yaw, pitch, and

Hi all, Rasterio 1.2b2 is on PyPI now. We've made metadata reading more forgiving of unexpected values and changed the Cython language level for .pyx files to "3". See