hypernets_processor.calibration.calibrate module

Calibration class

class hypernets_processor.calibration.calibrate.Calibrate(context, parallel_cores=0)

Bases: object

calibrate_l1a(measurandstring, dataset_l0, dataset_l0_bla, calibration_data, swir=False, preprocessing=True)

calibrate_l1b(measurandstring, dataset_l0, dataset_l0_bla, calibration_data, swir=False)

find_nearest_black(dataset, acq_time, int_time)

preprocess_l0(datasetl0, datasetl0_bla, dataset_calib)

Identifies and removes faulty measurements (e.g. due to cloud cover).

Parameters:

dataset_l0 –

Returns:

Return type: