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Mask to alpha band
Hi Denis, There's no way to do it in Rasterio without creating a new dataset and copying the band and mask arrays from the original.
Hi Denis, There's no way to do it in Rasterio without creating a new dataset and copying the band and mask arrays from the original.
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Sean Gillies
· #25
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Rasterio 1.0.1
Hi all, Rasterio 1.0.1 is on PyPI now. It fixes 4 bugs found since 1.0.0: - Bounding envelopes are densified at higher precision in transform_bounds to fix #1411. - Add LERC compression to enums.Compr
Hi all, Rasterio 1.0.1 is on PyPI now. It fixes 4 bugs found since 1.0.0: - Bounding envelopes are densified at higher precision in transform_bounds to fix #1411. - Add LERC compression to enums.Compr
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By
Sean Gillies
· #24
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Reproject with mask preserving
Hi Denis, As you discovered in your post to gdal-dev, GDAL's warper doesn't output internal (or sidecar) mask bands. You must materialize these into an alpha band and then copy the data to produce a n
Hi Denis, As you discovered in your post to gdal-dev, GDAL's warper doesn't output internal (or sidecar) mask bands. You must materialize these into an alpha band and then copy the data to produce a n
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By
Sean Gillies
· #23
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Copying Rasterio crs from input to output dataset
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 darwi
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 darwi
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By
Sean Gillies
· #19
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LERC Compression Error
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 G
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 G
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By
Sean Gillies
· #18
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Rasterio 1.0.0
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 app
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 app
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By
Sean Gillies
· #11
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Rasterio 1.0rc5
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 ins
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 ins
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By
Sean Gillies
· #8
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Rasterio 1.0rc4
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 ins
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 ins
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By
Sean Gillies
· #7
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Does rasterio load data into memory while reprojecting?
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 wi
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 wi
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By
Sean Gillies
· #5
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Rasterio 1.0rc3
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: https://pypi.org/p
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: https://pypi.org/p
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By
Sean Gillies
· #3
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Rasterio's general discussion group is open for business
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 closed.
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 closed.
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By
Sean Gillies
· #2
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