Lesson 7, Topic 2
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When filtering data (e.g. filter_spatial, filter_temporal, filter_bands), only the data that satisfies a condition is returned. For example, this condition could be a timestamp or interval, (a set of) coordinates, or specific bands. By applying filtering the datacube becomes smaller, according to the selected data.

::: tip Simplified filter([🌽, 🥔, 🐷], isVegetarian) => [🌽, 🥔] :::

In the image, the example datacube can be seen at the top with labeled dimensions. The filtering techniques are displayed separately below. On the left, the datacube is filtered temporally with the interval ["2020-10-15", "2020-10-27"]. The result is a cube with only the rasters for the timestep that lies within that interval ("2020-10-25") and unchanged bands and spatial dimensions. Likewise, the original cube is filtered for a specific band ["nir"] in the middle and a specific spatial region [Polygon(...)] on the right.

Datacube filtering: From the datacube 4 by 3 grid, arrows depict what happens if the grid is filtered. Temporal filtering results in data for one timestep with all four bands, filtering bands results in data with one band with all three timesteps, and spatial filtering results in all timesteps and bands being preserved, but all with a smaller area.

Learn how to use Filter operators with this interactive exercise: