Hi all, We've made three new releases this week to fix regressions introduced in version 1.0.14. Please upgrade to 1.0.18 to take advantage of the changes in 1.0.14, but without suffering from the bug

In rasterio, reading image array in the unit of blocks is pretty convenient and useful. However, Overlapping blocks could be very useful for certain applications which requires kernel wise processing

Short version: The following causes errors, in rasterio 1.0.15, but is fine in rasterio 1.0.9. from rasterio.crs import CRS print(CRS()) The following are the only tests in rasterio to check blank CRS

Hi all, 1.0.15 is available on PyPI now and fixes two problems with 1.0.14 and its binary wheels. The first is that 1.0.14 didn't have the advertised Google cloud storage support. The second is that t

Hi all, Rasterio 1.0.14 is on PyPI now: https://pypi.org/project/rasterio/1.0.14/. The changes are listed here: https://github.com/mapbox/rasterio/blob/master/CHANGES.txt#L4-L17. We've attempted to ov

Hi all, I was tripped up by the release of pip 19 and want to share what I learned so that you can avoid the same bruises. Rasterio has a pyproject.toml file since version 1.0. This file specifies the

I am testing the Resamling code from the documentation-link, to resample a tiff file: #resampling a raster import rasterio from rasterio.warp import Affine, Resampling, reproject import numpy as np sr

Hello Rasterio community, while I have been using GDAL-python for a few years, I am delighted to learn about Rasterio. Both in GDAL and Rasterio (matter of fact any programming) require detail and to

Hi Niklas, First off, in my original reply I missed the chance to suggest that we move this discussion to the main (not dev) discussion group, which has more users. The dev group is for discussing and

Hi Guy, Let's try to answer your questions on the main discussion group. The dev group is for discussing development of the library itself: new API methods, infrastructure, governance, &c. I've cross-

Hi Everyone, Using RasterIO, what is the correct way to change (or assign if it isn't already set) the no data value for a single or multi band TIF file? For example using the test rgb.byte.tif file,

Hi guys I am trying to use a method `rasterio.warp.reproject` I create a source numpy array full of zeros and dest numpy array full of ones, I reprojected using the nearset resmapling and src_nodata=0

I've been looking for the best way of processing a large raster files while achieving both maximum processing parallelism/speed and a low memory footprint. To achieve a low memory footprint, is enough

Hello, In my project I’m dealing with 217 hyperspectral raster files in ENVI format. These rasters contain 420 bands, this means that I have to deal with files that are 30GB+ in size. To keep stuff ma

Hi I forked and am trying to add support for rasterio and rio to handle files on Google Cloud Storage. I made changes to path.py and added remote schemes to include gs:// type urls similar to AWS S3 s

Hi this is a little bit of a strange question about how rasterio is using the GDALRasterizeGeometries function. This c-function is called in _features.pyx here: with InMemoryRaster(image=image, transf

I am trying to recreate gdal_calc for simple calculation using below code. import numpy import rasterio def merge_bands(calculationType, band1Image, band2Image, outputFilePath): # Read raster bands di

I am trying to replicated the gdal functionality for performing image alignment based on GCPs. The equivalent gdal commands are the following: `gdal_translate -of GTiff -gcp GCP1 -gcp GCP2... src_rast

Is this the right place to report a bug? I can open an issue on github if you like. I'm reading a NITF, and getting this error. Should add 'JPEG2000' to the Compression enum? In[14]: src.tags(ns='IMAG

Hi, We are going to use rasterio.vrt._boundless_vrt_doc for making a XML VRT out of dataset in our library. But we are little afraid because the name of this function tells that it is a private one. A