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165
openeo_processes_dask/process_implementations/cubes/mask_polygon.py
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Original file line number | Diff line number | Diff line change |
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import json | ||
import logging | ||
from typing import Any, Union | ||
|
||
import dask.array as da | ||
import geopandas as gpd | ||
import numpy as np | ||
import rasterio | ||
import rioxarray | ||
import shapely | ||
import xarray as xr | ||
from xarray.core import dtypes | ||
|
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from openeo_processes_dask.process_implementations.data_model import ( | ||
RasterCube, | ||
VectorCube, | ||
) | ||
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DEFAULT_CRS = "EPSG:4326" | ||
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logger = logging.getLogger(__name__) | ||
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__all__ = [ | ||
"mask_polygon", | ||
] | ||
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def mask_polygon( | ||
data: RasterCube, | ||
mask: Union[VectorCube, str], | ||
replacement: Any = dtypes.NA, | ||
inside: bool = True, | ||
) -> RasterCube: | ||
y_dim = data.openeo.y_dim | ||
x_dim = data.openeo.x_dim | ||
t_dim = data.openeo.temporal_dims | ||
b_dim = data.openeo.band_dims | ||
|
||
if len(t_dim) == 0: | ||
t_dim = None | ||
else: | ||
t_dim = t_dim[0] | ||
if len(b_dim) == 0: | ||
b_dim = None | ||
else: | ||
b_dim = b_dim[0] | ||
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y_dim_size = data.sizes[y_dim] | ||
x_dim_size = data.sizes[x_dim] | ||
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# Reproject vector data to match the raster data cube. | ||
## Get the CRS of data cube | ||
try: | ||
data_crs = str(data.rio.crs) | ||
except Exception as e: | ||
raise Exception(f"Not possible to estimate the input data projection! {e}") | ||
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data = data.rio.set_crs(data_crs) | ||
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## Reproject vector data if the input vector data is Polygon or Multi Polygon | ||
if "type" in mask and mask["type"] == "FeatureCollection": | ||
geometries = gpd.GeoDataFrame.from_features(mask, DEFAULT_CRS) | ||
geometries = geometries.to_crs(data_crs) | ||
geometries = geometries.to_json() | ||
geometries = json.loads(geometries) | ||
elif "type" in mask and mask["type"] in ["Polygon"]: | ||
polygon = shapely.geometry.Polygon(mask["coordinates"][0]) | ||
geometries = gpd.GeoDataFrame(geometry=[polygon]) | ||
geometries.crs = DEFAULT_CRS | ||
geometries = geometries.to_crs(data_crs) | ||
geometries = geometries.to_json() | ||
geometries = json.loads(geometries) | ||
else: | ||
raise ValueError( | ||
"Unsupported or missing geometry type. Expected 'Polygon' or 'FeatureCollection'." | ||
) | ||
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data_dims = list(data.dims) | ||
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# Get the Affine transformer | ||
transform = data.rio.transform() | ||
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# Initialize an empty mask | ||
# Set the same chunk size as the input data | ||
data_chunks = {} | ||
chunks_shapes = data.chunks | ||
for i, d in enumerate(data_dims): | ||
data_chunks[d] = chunks_shapes[i][0] | ||
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if data_dims.index(x_dim[0]) < data_dims.index(y_dim[0]): | ||
final_mask = da.zeros( | ||
(x_dim_size, y_dim_size), | ||
chunks={x_dim: data_chunks[x_dim], y_dim: data_chunks[y_dim]}, | ||
dtype=bool, | ||
) | ||
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dask_out_shape = da.from_array( | ||
(x_dim_size, y_dim_size), | ||
chunks={x_dim: data_chunks[x_dim], y_dim: data_chunks[y_dim]}, | ||
) | ||
else: | ||
final_mask = da.zeros( | ||
(y_dim_size, x_dim_size), | ||
chunks={y_dim: data_chunks[y_dim], x_dim: data_chunks[x_dim]}, | ||
dtype=bool, | ||
) | ||
|
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dask_out_shape = da.from_array( | ||
(y_dim_size, x_dim_size), | ||
chunks={y_dim: data_chunks[y_dim], x_dim: data_chunks[x_dim]}, | ||
) | ||
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# CHECK IF the input single polygon or multiple Polygons | ||
if "type" in geometries and geometries["type"] == "FeatureCollection": | ||
for feature in geometries["features"]: | ||
polygon = shapely.geometry.Polygon(feature["geometry"]["coordinates"][0]) | ||
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# Create a GeoSeries from the geometry | ||
geo_series = gpd.GeoSeries(polygon) | ||
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# Convert the GeoSeries to a GeometryArray | ||
geometry_array = geo_series.geometry.array | ||
|
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mask = da.map_blocks( | ||
rasterio.features.geometry_mask, | ||
geometry_array, | ||
transform=transform, | ||
out_shape=dask_out_shape, | ||
dtype=bool, | ||
invert=inside, | ||
) | ||
final_mask |= mask | ||
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elif "type" in geometries and geometries["type"] in ["Polygon"]: | ||
polygon = shapely.geometry.Polygon(geometries["coordinates"][0]) | ||
geo_series = gpd.GeoSeries(polygon) | ||
|
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# Convert the GeoSeries to a GeometryArray | ||
geometry_array = geo_series.geometry.array | ||
mask = da.map_blocks( | ||
rasterio.features.geometry_mask, | ||
geometry_array, | ||
transform=transform, | ||
out_shape=dask_out_shape, | ||
dtype=bool, | ||
invert=inside, | ||
) | ||
final_mask |= mask | ||
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masked_dims = len(final_mask.shape) | ||
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diff_axes = [] | ||
for axis in range(len(data_dims)): | ||
try: | ||
if final_mask.shape[axis] != data.shape[axis]: | ||
diff_axes.append(axis) | ||
except: | ||
if len(diff_axes) < (len(data_dims) - 2): | ||
diff_axes.append(axis) | ||
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final_mask = np.expand_dims(final_mask, axis=diff_axes) | ||
filtered_ds = data.where(final_mask, other=replacement) | ||
|
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return filtered_ds |
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