remove unused resample_cube_spatial_rioxarray from local processing

Author: clausmichele

openeo/local/processing.py

@@ -80,62 +80,3 @@ def load_local_collection(*args, **kwargs):
     spec=openeo_processes_dask.specs.load_collection,
     implementation=load_local_collection,
 )
-
-def resample_cube_spatial_rioxarray(data: RasterCube, target: RasterCube, method: str = "near") -> RasterCube:
-    _log.info("Running process resample_cube_spatial")
-    methods_dict = {
-        "near": rasterio.enums.Resampling.nearest,
-        "bilinear": rasterio.enums.Resampling.bilinear,
-        "cubic": rasterio.enums.Resampling.cubic,
-        "cubicspline": rasterio.enums.Resampling.cubic_spline,
-        "lanczos": rasterio.enums.Resampling.lanczos,
-        "average": rasterio.enums.Resampling.average,
-        "mode": rasterio.enums.Resampling.mode,
-        "gauss": rasterio.enums.Resampling.gauss,
-        "max": rasterio.enums.Resampling.max,
-        "min": rasterio.enums.Resampling.min,
-        "med": rasterio.enums.Resampling.med,
-        "q1": rasterio.enums.Resampling.q1,
-        "q3": rasterio.enums.Resampling.q3,
-        "sum": rasterio.enums.Resampling.sum,
-        "rms": rasterio.enums.Resampling.rms
-    }
-
-    if method not in methods_dict:
-        raise ValueError(
-            f'Selected resampling method "{method}" is not available! Please select one of '
-            f"[{', '.join(methods_dict.keys())}]"
-        )
-    if len(data.openeo.temporal_dims) > 0:
-        for i,t in enumerate(data[data.openeo.temporal_dims[0]]):
-            if i == 0:
-                resampled_data = data.loc[{data.openeo.temporal_dims[0]:t}].rio.reproject_match(
-                    target, resampling=methods_dict[method]
-                )
-                resampled_data = resampled_data.assign_coords({data.openeo.temporal_dims[0]:t}).expand_dims(data.openeo.temporal_dims[0])
-            else:
-                tmp = data.loc[{data.openeo.temporal_dims[0]:t}].rio.reproject_match(
-                    target, resampling=methods_dict[method]
-                )
-                tmp = tmp.assign_coords({data.openeo.temporal_dims[0]:t}).expand_dims(data.openeo.temporal_dims[0])
-                resampled_data = xr.concat([resampled_data,tmp],dim=data.openeo.temporal_dims[0])
-    else:
-        resampled_data = data.rio.reproject_match(
-            target, resampling=methods_dict[method]
-        )
-    resampled_data.rio.write_crs(target.rio.crs, inplace=True)
-
-    # Order axes back to how they were before
-    resampled_data = resampled_data.transpose(*data.dims)
-
-    # Ensure that attrs except crs are copied over
-    for k, v in data.attrs.items():
-        if k.lower() != "crs":
-            resampled_data.attrs[k] = v
-    return resampled_data
-
-
-PROCESS_REGISTRY["resample_cube_spatial"] = Process(
-    spec=openeo_processes_dask.specs.resample_cube_spatial,
-    implementation=resample_cube_spatial_rioxarray,
-)