sup3r.preprocessing.feature_handling.CloudMaskH5

class CloudMaskH5[source]

Bases: DerivedFeature

Cloud Mask feature class for computing from H5 data

Methods

`compute`(data[, height])	Compute the cloud mask
`inputs`(feature)	Get list of raw features used in calculation of the cloud mask

classmethod inputs(feature)[source]

Get list of raw features used in calculation of the cloud mask

Parameters:: feature (str) – Cloud mask feature name, needs to be “cloud_mask”
Returns:: list – List of required features for cloud_mask: clearsky_ghi, ghi

classmethod compute(data, height=None)[source]

Compute the cloud mask

Parameters:

data (dict) – dictionary of feature arrays used for this compuation, must include clearsky_ghi and ghi
height (str | int) – Placeholder to match interface with other compute methods

Returns:

cloud_mask (ndarray) – Cloud mask, e.g. 1 where cloudy, 0 where clear. NaN where nighttime. Data is float32 so it can be normalized without any integer weirdness.