Example - Reproject Match¶
[1]:
import rioxarray # for the extension to load
import xarray
%matplotlib inline
Load in xarray datasets¶
[2]:
xds = xarray.open_dataarray("/mnt/c/Users/snowal/scripts/rioxarray/test/test_data/input/MODIS_ARRAY.nc")
xds_match = xarray.open_dataarray("/mnt/c/Users/snowal/scripts/rioxarray/test/test_data/input/MODIS_ARRAY_MATCH.nc")
[3]:
xds
[3]:
<xarray.DataArray (y: 200, x: 200)>
array([[ nan, nan, nan, ..., 656., 656., 554.],
[ nan, nan, nan, ..., 694., 694., 642.],
[ nan, nan, nan, ..., 456., 575., 642.],
...,
[993., 817., 817., ..., 471., 479., 498.],
[893., 893., 816., ..., 479., 479., 469.],
[816., 816., 832., ..., 515., 469., 485.]], dtype=float32)
Coordinates:
* y (y) float64 5.05e+06 5.05e+06 5.05e+06 ... 5.004e+06 5.004e+06
* x (x) float64 -7.274e+06 -7.274e+06 ... -7.228e+06 -7.228e+06
Attributes:
crs: +a=6371007.181 +b=6371007.181 +lon_0=0 +no_defs +proj=sinu +u...
res: [231.65635826 231.65635826]
is_tiled: 0
nodata: -28672.0
transform: [ 2.31656358e+02 0.00000000e+00 -7.27400965e+06 0.00000000e...
[4]:
xds.plot()
[4]:
<matplotlib.collections.QuadMesh at 0x7fd98d0a1c50>

[5]:
xds_match
[5]:
<xarray.DataArray (y: 100, x: 150)>
array([[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan],
...,
[ nan, nan, nan, ..., 1146., 821., 583.],
[ nan, nan, nan, ..., 1146., 1262., 735.],
[ nan, nan, nan, ..., 912., 1024., 853.]], dtype=float32)
Coordinates:
* y (y) float64 5.029e+06 5.029e+06 ... 4.991e+06 4.991e+06
* x (x) float64 4.853e+05 4.857e+05 ... 5.425e+05 5.429e+05
spatial_ref int64 ...
Attributes:
crs: +datum=WGS84 +no_defs +proj=utm +units=m +zone=15
res: [386.65122672 386.65122672]
is_tiled: 0
transform: [ 3.86651227e+02 0.00000000e+00 4.85124883e+05 0.000000...
grid_mapping: spatial_ref
[6]:
xds_match.plot()
[6]:
<matplotlib.collections.QuadMesh at 0x7fd98d010630>

Reproject Match¶
API Reference:
- DataArray: rio.reproject_match()
- Dataset: rio.reproject_match()
[7]:
xds_repr_match = xds.rio.reproject_match(xds_match)
[8]:
xds_repr_match
[8]:
<xarray.DataArray (y: 100, x: 150)>
array([[ nan, nan, 581., ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, 682., ..., nan, nan, nan],
...,
[ nan, nan, nan, ..., 821., 821., 583.],
[ nan, nan, nan, ..., 1024., 853., 583.],
[ nan, nan, nan, ..., 867., 804., 706.]], dtype=float32)
Coordinates:
* x (x) float64 4.853e+05 4.857e+05 ... 5.425e+05 5.429e+05
* y (y) float64 5.029e+06 5.029e+06 ... 4.991e+06 4.991e+06
spatial_ref int64 0
Attributes:
transform: (386.65122672362685, 0.0, 485124.8828918401, 0.0, -386.651...
_FillValue: -28672
grid_mapping: spatial_ref
[9]:
xds_repr_match.plot()
[9]:
<matplotlib.collections.QuadMesh at 0x7fd98c72c908>
