OpenEO randomforest inference

randomforest_inference.py

import shapely
from shapely.geometry import Polygon, MultiPolygon
import openeo
from openeo.rest.job import JobResults
from openeo.rest.mlmodel import MlModel
from openeo.rest.job import BatchJob, JobResults
from openeo.rest.mlmodel import MlModel

c = openeo.connect("https://openeo.dev.warsaw.openeo.dataspace.copernicus.eu/openeo/").authenticate_oidc()
signed_url = "https://openeo.dataspace.copernicus.eu/openeo/1.2/jobs/j-24050486ed974fdc80e73eff53974d89/results/items/ZTNlOGRjZjMtYWM3Yy00NmMzLThiZGQtMDM0YmYyMmRjMzQy/322cfe4d8974a52f84ff8a30475568d4/ml_model_metadata.json?expires=1715585149"

model = MlModel.load_ml_model(connection=c, id=signed_url)

cube = c.load_collection(
    "SENTINEL2_L2A",
    temporal_extent=["2020-12-30", "2022-01-01"],
    spatial_extent={
        'west': 3.39,
        'east': 3.61,
        'south': 51.09,
        'north': 51.21
    },
    bands=["B02", "B03", "B04"]
)
cube_xyb = cube.reduce_dimension(dimension="t", reducer="mean")
predicted = cube_xyb.predict_random_forest(
    model=model,
    dimension="bands"
)

predicted.execute_batch("predicted.GTiff", validate=None)