Hi Sean,

The only way that I’m installing the package is through my requirements.txt which I include in my deploy folder. I have

 

rasterio==1.1.5

 

in the requirements.txt. For the credentials I’ve tried a couple different ways. I’ve tried setting them using

 

os.environ['GS_SECRET_ACCESS_KEY'] = secret_access_key

os.environ['GS_ACCESS_KEY_ID'] = access_key

 

I’ve also tried

 

session = boto3.Session(aws_access_key_id=access_key,

                        aws_secret_access_key=secret_access_key)

 

and then using that session object when I open the raster file. Was there any other info you’d like?

Thanks a ton for the help,
Judson

I have a geotiff (size= 4490 x 7341) that I cut into 256 x 256 crops to do an operation. Once the operation is done, I merge them back together. Since the original dimensions aren't divisible by 256 the resulting image will be of size 4608 x 7424. However the output tif and the input tif are of the same location, so they need to be geo-referenced the same. Is it possible to do so?

Hi, I'm new to rasterio and working with geographical data. So far, it's been a great experience working with this library - but I've run into an issue when working with the Window module. My use case is as follows: 
- I obtain 2 bounding coordinates from the user (top-left and bottom-right) and convert them to (row, col) using `source.index(lon, lat)`.
- I create a window using these bounds and read the dataset from that. Also, I get the appropriate transform for this window.

selected_window = Window.from_slices((row0, row1), (col0, col1))
data = src.read(1, window=selected_window)
affine_transform = src.window_transform(selected_window)

Afterwards, I am using this `data` numpy array to select various points in these bounds and plot them on a map. However, the (lat, long) coordinates obtained using the affine_transform above are not very accurate. When I run the following:

print("Lat/Lon bounds: {}".format(src.window_bounds(selected_window)))
print("Transform at (0,0): {}".format(affine_transform * (0,0)))
r, c = data.shape
print("Transform at {}: {}".format((r-1, c-1), affine_transform * (r-1, c-1)))

The output is as follows:

Source lat/lon bounds: (72.45 20.69, 82.39, 28.78)
Transform at (0,0): (72.42, 28.78)
Transform at (970, 1193): (80.53, 18.841)

As is evident from the output, the latitude must lie between (20.69,28.78) but the transform value 18.841 at (970, 1193) is not in that interval. 

I saw some earlier posts in this group that suggested updating to version 1.1.5. I've done that but the issue persists. 
Any help will be greatly appreciated. Thanks!

Per https://gdal.org/user/virtual_file_systems.html#drivers-supporting-virtual-file-systems and confirmed by Even R, GDAL's NetCDF driver cannot write to /vsi*. Perhaps a workaround can be to drop to a tempfile approach when writing NetCDF.

Thanks again for the clarifications.

(sorry, just getting back to this!)

Thanks Sean. Indeed the MemoryFile strategy works as expected:

import sys

import rasterio
from rasterio.io import MemoryFile

with rasterio.open(sys.argv[1]) as src:
    with MemoryFile() as memfile:
        profile = src.profile
        with memfile.open(**profile) as dest:
            dest.write(src.read())

Are there any known issues with reading/subsetting, and writing back a NetCDF via MemoryFile? Traceback:

(pygeoapi) (base) tomkralidis@aruba:~/Dev/pygeoapi/pygeoapi-tomkralidis$ python dd.py tests/data/CMIP5_rcp8.5_annual_abs_latlon1x1_PCP_pctl25_P1Y.nc 
Traceback (most recent call last):
  File "rasterio/_io.pyx", line 1135, in rasterio._io.DatasetWriterBase.__init__
  File "rasterio/_err.pyx", line 205, in rasterio._err.exc_wrap_pointer
rasterio._err.CPLE_OpenFailedError: Unable to create netCDF file /vsimem/fa663a74-d548-494d-a2ab-880bdff831c4/fa663a74-d548-494d-a2ab-880bdff831c4. (Error code 2): No such file or directory .

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "dd.py", line 9, in <module>
    with memfile.open(**profile) as dest:
  File "/Users/tomkralidis/opt/miniconda3/lib/python3.7/site-packages/rasterio/env.py", line 382, in wrapper
    return f(*args, **kwds)
  File "/Users/tomkralidis/opt/miniconda3/lib/python3.7/site-packages/rasterio/io.py", line 136, in open
    nodata=nodata, sharing=sharing, **kwargs)
  File "rasterio/_io.pyx", line 1139, in rasterio._io.DatasetWriterBase.__init__
rasterio.errors.RasterioIOError: Unable to create netCDF file /vsimem/fa663a74-d548-494d-a2ab-880bdff831c4/fa663a74-d548-494d-a2ab-880bdff831c4. (Error code 2): No such file or directory .

Versions:

>>> import rasterio
>>> rasterio.__version__
'1.1.5'
>>> rasterio.gdal_version()
'3.0.4'

Thanks

..Tom