Median values and percentiles in FISRequest

Hi @gmilcinski - is this now available via the statistical API? meaning, can we request median or even define custom statistical function?

Not at the moment, but we have this in plans for the next iteration of the FIS API, planned to come in a few months.

How can I implement it in Python API?
For example here:

sd = ‘2022-05-10’ # start date
ed = ‘2022-05-11’ # end date
sn2_ndvi_request = SentinelHubStatistical(
aggregation=SentinelHubStatistical.aggregation(
evalscript=sn2_ndvi_evalscript,
time_interval=(sd, ed),
aggregation_interval=“P1D”,
resolution=(0.0001, 0.0001),
),
input_data=[SentinelHubStatistical.input_data(DataCollection.SENTINEL2_L2A)],
geometry=poly,
config=config,
)

Indeed, Statistical API does allow for definition of percentiles, including median. Custom statististical function is currently not supported.

See this example:

Statistical API

Our powerful Statistical API makes it possible to get various statistics for satellite imagery without having to download images.

No, Statistical API response always contains “min” and “max” values. However, this does not impact your PU consumption.

found it 🙂

sd = '2022-05-10' # start date
ed = '2022-05-11' # end date


calcs = {"ndvi": {"statistics": {"default":{"percentiles":{"k":[50]}}}}}


sn2_ndvi_request = SentinelHubStatistical(
                                        aggregation=SentinelHubStatistical.aggregation(
                                        evalscript=sn2_ndvi_evalscript,
                                        time_interval=(sd, ed),
                                        aggregation_interval="P1D",
                                        resolution=(0.0001, 0.0001),
                                        ),
                                        input_data=[SentinelHubStatistical.input_data(DataCollection.SENTINEL2_L2A)],
                                        geometry=poly,
                                        config=config,
                                        calculations=calcs
                                            )

sn2_ndvi_stats = sn2_ndvi_request.get_data()[0]

It is possible to drop the “min” and “max”? would that reduce the number of PU?