corteva / rioxarray

geospatial xarray extension powered by rasterio
https://corteva.github.io/rioxarray
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ENH: Add support for clipping with dask #571

Open alaws-USGS opened 2 years ago

alaws-USGS commented 2 years ago

Code Sample, a copy-pastable example if possible

cat = intake.open_catalog('https://raw.githubusercontent.com/USGS-python/hytest-catalogs/main/hytest_intake_catalog.yml')
ds = cat['conus404-40year-cloud'].to_dask()

# restrict variables to those of interest
c404 = ds["PREC_ACC_NC", "TK", "ACSWDNB", "I_ACSWDNB", "ACSWDNB", "I_ACSWDNB", "ACLWDNB", "I_ACLWDNB", "ACLWUPB", "I_ACLWUPB"]

# use slice to filter by time 
c404 = c404.sel(time=slice("1990-01-01 00:00", "1990-12-31 00:00"))

#WGS84 = EPSG:4326
c404.rio.write_crs("epsg:4326", inplace=True)

# bring in boundaries of the Deleware River Basing (DRB) and create single polygon
drb = pygeohydro.WBD("huc6", outfields=["huc6", "name"]).byids("huc6", ["020401", "020402"])
# create a column where all entries have the same value and dissolve
drb["name"] = "DRB"
drb = drb.dissolve(by="name")

# clip data to precise geometry of Delaware River Basin
c404_drb = c404.rio.clip(drb.geometry, drop=True, invert=False, from_disk=True)

Problem description

The clipped xarray dataset c404_drb is not clipped to the bounds of drb.geometry. The CRS for both datasets has been confirmed to be the same.

Expected Output

An xarray dataset clipped to the correct polygon bounds.

Environment Information

rioxarray = 0.11.2

Installation method

conda

Conda environment information (if you installed with conda):


Environment (conda list):

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conda-forge arpack 3.7.0 hdefa2d7_2 conda-forge arrow-cpp 9.0.0 py39h2531139_1_cpu conda-forge asciitree 0.3.3 py_2 conda-forge asgi-lifespan 1.0.1 py39hf3d152e_4 conda-forge asn1crypto 1.5.1 pyhd8ed1ab_0 conda-forge asttokens 2.0.8 pyhd8ed1ab_0 conda-forge async-retriever 0.3.6 pyha770c72_0 conda-forge async-timeout 4.0.2 pyhd8ed1ab_0 conda-forge async_generator 1.10 py_0 conda-forge async_retriever 0.3.6 hd8ed1ab_0 conda-forge asyncpg 0.26.0 py39hb9d737c_0 conda-forge atk-1.0 2.36.0 h3371d22_4 conda-forge attr 0.3.2 pypi_0 pypi attrs 21.4.0 pypi_0 pypi aws-c-cal 0.5.11 h95a6274_0 conda-forge aws-c-common 0.6.2 h7f98852_0 conda-forge aws-c-event-stream 0.2.7 h3541f99_13 conda-forge aws-c-io 0.10.5 hfb6a706_0 conda-forge aws-checksums 0.1.11 ha31a3da_7 conda-forge aws-sdk-cpp 1.8.186 hb4091e7_3 conda-forge awscli 1.25.60 py39hf3d152e_0 conda-forge azure-core 1.25.1 pyhd8ed1ab_0 conda-forge azure-datalake-store 0.0.51 pyh9f0ad1d_0 conda-forge azure-identity 1.10.0 pyhd8ed1ab_0 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conda-forge udunits2 2.2.28 hc3e0081_0 conda-forge ujson 5.4.0 py39h5a03fae_0 conda-forge unicodecsv 0.14.1 pypi_0 pypi unidecode 1.3.4 pyhd8ed1ab_0 conda-forge unzip 6.0 h7f98852_3 conda-forge uritemplate 4.1.1 pypi_0 pypi url-normalize 1.4.3 pyhd8ed1ab_0 conda-forge urllib3 1.26.11 pyhd8ed1ab_0 conda-forge utfcpp 3.2.1 ha770c72_0 conda-forge utide 0.3.0 pyhd8ed1ab_0 conda-forge uvicorn 0.18.3 py39hf3d152e_0 conda-forge vim 9.0.0335 py39pl5321h20e6244_0 conda-forge vtk 9.1.0 qt_py39h3b1a52d_214 conda-forge wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge webencodings 0.5.1 py_1 conda-forge webob 1.8.7 pypi_0 pypi websocket-client 1.4.1 pyhd8ed1ab_0 conda-forge werkzeug 2.2.2 pypi_0 pypi wgrib2 3.1.1 h126ae06_0 conda-forge wheel 0.37.1 pyhd8ed1ab_0 conda-forge whitebox 2.1.4 pyhd8ed1ab_0 conda-forge whiteboxgui 0.7.0 pyhd8ed1ab_0 conda-forge widgetsnbextension 3.6.1 pyha770c72_0 conda-forge wrapt 1.14.1 py39hb9d737c_0 conda-forge x264 1!164.3095 h166bdaf_2 conda-forge x265 3.5 h924138e_3 conda-forge xagg 0.3.0.2 pyhd8ed1ab_0 conda-forge xarray 2022.6.0 pyhd8ed1ab_1 conda-forge xarray-datatree 0.0.9 pyhd8ed1ab_0 conda-forge xarray-spatial 0.3.5 pyhd8ed1ab_0 conda-forge xarray_leaflet 0.1.16 pyhd8ed1ab_0 conda-forge xbitinfo 0.0.2 pyhd8ed1ab_0 conda-forge xcb-util 0.4.0 h516909a_0 conda-forge xcb-util-image 0.4.0 h166bdaf_0 conda-forge xcb-util-keysyms 0.4.0 h516909a_0 conda-forge xcb-util-renderutil 0.3.9 h166bdaf_0 conda-forge xcb-util-wm 0.4.1 h516909a_0 conda-forge xclim 0.36.0 pyhd8ed1ab_0 conda-forge xerces-c 3.2.3 h55805fa_5 conda-forge xesmf 0.6.3 pyhd8ed1ab_1 conda-forge xhistogram 0.3.1 pyhd8ed1ab_0 conda-forge xmip 0.6.1rc0 pyhd8ed1ab_0 conda-forge xmltodict 0.13.0 pyhd8ed1ab_0 conda-forge xoak 0.1.1 pyhd8ed1ab_0 conda-forge xorg-fixesproto 5.0 h7f98852_1002 conda-forge xorg-inputproto 2.3.2 h7f98852_1002 conda-forge xorg-kbproto 1.0.7 h7f98852_1002 conda-forge xorg-libice 1.0.10 h7f98852_0 conda-forge xorg-libsm 1.2.3 hd9c2040_1000 conda-forge xorg-libx11 1.7.2 h7f98852_0 conda-forge xorg-libxau 1.0.9 h7f98852_0 conda-forge xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge xorg-libxext 1.3.4 h7f98852_1 conda-forge xorg-libxfixes 5.0.3 h7f98852_1004 conda-forge xorg-libxi 1.7.10 h7f98852_0 conda-forge xorg-libxrender 0.9.10 h7f98852_1003 conda-forge xorg-libxt 1.2.1 h7f98852_2 conda-forge xorg-renderproto 0.11.1 h7f98852_1002 conda-forge xorg-xextproto 7.3.0 h7f98852_1002 conda-forge xorg-xproto 7.0.31 h7f98852_1007 conda-forge xrft 1.0.0 pyhd8ed1ab_0 conda-forge xrviz 0.1.4 pyhd8ed1ab_2 conda-forge xskillscore 0.0.24 pyhd8ed1ab_0 conda-forge xstac 1.1.0 pypi_0 pypi xyzservices 2022.6.0 pyhd8ed1ab_0 conda-forge xz 5.2.6 h166bdaf_0 conda-forge yaml 0.2.5 h7f98852_2 conda-forge yaml-cpp 0.7.0 h27087fc_1 conda-forge yarl 1.7.2 py39hb9d737c_2 conda-forge zarr 2.12.0 pyhd8ed1ab_0 conda-forge zeep 4.1.0 pypi_0 pypi zeromq 4.3.4 h9c3ff4c_1 conda-forge zfp 1.0.0 h27087fc_1 conda-forge zict 2.2.0 pyhd8ed1ab_0 conda-forge zip 3.0 h7f98852_1 conda-forge zipp 3.8.1 pyhd8ed1ab_0 conda-forge zlib 1.2.12 h166bdaf_2 conda-forge zlib-ng 2.0.6 h166bdaf_0 conda-forge zstandard 0.18.0 py39hb9d737c_0 conda-forge zstd 1.5.2 h6239696_4 conda-forge ```


Details about conda and system ( conda info ):

``` active environment : pangeo active env location : /home/conda/users/envs/pangeo shell level : 2 conda version : 4.10.3 conda-build version : not installed python version : 3.7.10.final.0 virtual packages : __linux=5.4.181=0 __glibc=2.31=0 __unix=0=0 __archspec=1=x86_64 base environment : /opt/conda (read only) conda av data dir : /opt/conda/etc/conda conda av metadata url : None channel URLs : https://repo.anaconda.com/pkgs/main/linux-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/r/linux-64 https://repo.anaconda.com/pkgs/r/noarch package cache : /opt/conda/pkgs platform : linux-64 user-agent : conda/4.10.3 requests/2.25.1 CPython/3.7.10 Linux/5.4.181-99.354.amzn2.x86_64 ubuntu/20.04.4 glibc/2.31 ```
snowman2 commented 8 months ago

Related: https://github.com/opendatacube/odc-geo/pull/114