Dec 19, 2017
Jan 27, 2018
I'm trying to run rasterio in my notebook setup and keep getting when I import the module. Any pointers? I'm running my notebooks inside a container built based on the official jupyter docker stacks. I basically installing the
python-numpy gdal-bin libgdal-dev on top of that image.
--------------------------------------------------------------------------- ImportError Traceback (most recent call last) <ipython-input-1-34708b297916> in <module>() ----> 1 import rasterio /opt/conda/lib/python3.5/site-packages/rasterio/__init__.py in <module>() 13 import warnings 14 ---> 15 from rasterio._base import ( 16 eval_window, window_shape, window_index, gdal_version) 17 from rasterio.dtypes import ( ImportError: /usr/lib/libgdal.so.1: undefined symbol: sqlite3_column_table_name
Never mind the above... I had and old version of GDAL. After that, I pulled the
--pre version of rasterio and was able to get going.
Jul 6, 2018
by some reason i am getting error on
from rasterio.vrt import WarpedVRT it shows me an import error.
ImportError: No module named 'rasterio.vrt'
I checked stackoverflow but couldn't find a solution by now. Anyone has the same issue?
Nov 5, 2018
Thanks for sharing this wonderful write up. I noticed that AWS_access_key is required, does that mean the landsat data is requester-pay?
Dec 5, 2018
Landsat 8 on AWS is not requester-pays.
That is why this works.
Jan 18, 2019
First of all, thanks for the great introduction!
1.What about GeoTIFFs that are striped instead of tiled? Is it still possible to access a subcrop efficiently?
2. Unfortunately the "with rasterio.Env(CPL_CURL_VERBOSE=True)" changes nothing in the output for me. I'm working on windows with rasterio.version = 1.0.8. Any ideas how I could achieve the verbose output? Been stuck on that for a bit..
Maybe interesting for other windows users: I got an SSL error when trying to access the landsat images. I got rid of it by exposing my SSL certificate with:
os.environ["CURL_CA_BUNDLE"] = r"C:\path\to\curl-ca-bundle.crt"
Mar 16, 2020
This is fantastic. I have been attempting to figure out how to manipulate LANDSAT and Sentinel data from AWS without downloading wholesale and without using packages like eo-learn and GEE (too hard to customize for my liking). Had seen these features in rasterio but never knew how they worked. This is a well-done write up, cheers.
Great write up @sgillies - especially cool is the lazy warping