Temporal aggregation

Aggregate Operators

aggregate_temporal_period: temporal aggregation with predefined intervals

Start importing the necessary libraries and initialize a local connection for Client-Side Processing.

import openeo
from openeo.local import LocalConnection
local_conn = LocalConnection('')

Create the starting Sentinel-2 datacube:

url = "https://earth-search.aws.element84.com/v1/collections/sentinel-2-l2a"

spatial_extent = {"west": 11.4, "east": 11.42, "south": 45.5, "north": 45.52}
temporal_extent = ["2022-01-01", "2022-12-31"]
bands = ["red","green","blue"]

s2_cube = local_conn.load_stac(url=url,
   spatial_extent=spatial_extent,
   temporal_extent=temporal_extent,
   bands=bands
)
s2_cube.execute()

We might be interested in aggregating our data over periods like week, month, year etc., defining what operation to use to combine the data available in the chosen period.

Using aggregate_temporal_period we can achieve this easily:

s2_monthly_min = s2_cube.aggregate_temporal_period(period="month",reducer="min")
s2_monthly_min

Check what happens to the datacube inspecting the resulting xArray object. Now the time dimension has 12 labels, one for each month.

s2_monthly_min.execute()