utils_sh#

eocrops.inputs.utils_sh.config_sentinelhub_cred(api, client_id, client_secret)[source]#

Configure properly Sentinelhub credential fetching information from the configuration tool python class. :return: SHConfig

eocrops.inputs.utils_sh.calculate_valid_data_mask(eopatch)[source]#

Define which pixel will be masked from eo-patch Inputs :

  • eopatch : patch downloaded from eo-learn packages (eopatch object with arrays)

eocrops.inputs.utils_sh.calculate_coverage(array)[source]#

Share of pixels not contaminated by clouds Inputs :

  • array : array from an eopatch object that contains information about cloud coverage (e.g Sentinel-2 L1C)

class eocrops.inputs.utils_sh.AddValidDataCoverage(*args, **kwargs)[source]#

Bases: EOTask

Share of pixels not contaminated by clouds Inputs :

  • EOTask : workflow as EOTask object

Stores initialization parameters and the order to the instance attribute init_args.

Parameters:

  • args (Any) –

  • kwargs (Any) –

Return type:

Self

class eocrops.inputs.utils_sh.AddValidDataMaskTask(*args, **kwargs)[source]#

Bases: EOTask

Stores initialization parameters and the order to the instance attribute init_args.

Parameters:

  • args (Any) –

  • kwargs (Any) –

Return type:

Self

class eocrops.inputs.utils_sh.ValidDataS2(*args, **kwargs)[source]#

Bases: EOTask

The tasks recognize clouds from Sentinel Scene Layers (SCL) obtained from Sen2Corr

Stores initialization parameters and the order to the instance attribute init_args.

Parameters:

  • args (Any) –

  • kwargs (Any) –

Return type:

Self

class eocrops.inputs.utils_sh.ValidDataVHRS(*args, **kwargs)[source]#

Bases: EOTask

The tasks recognize clouds from Sentinel Scene Layers (SCL) obtained from Sen2Corr

Stores initialization parameters and the order to the instance attribute init_args.

Parameters:

  • args (Any) –

  • kwargs (Any) –

Return type:

Self

class eocrops.inputs.utils_sh.ValidPixel[source]#

Bases: object

class eocrops.inputs.utils_sh.CountValid(*args, **kwargs)[source]#

Bases: EOTask

The task counts number of valid observations in time-series and stores the results in the timeless mask.

Stores initialization parameters and the order to the instance attribute init_args.

class eocrops.inputs.utils_sh.ValidDataCoveragePredicate(threshold)[source]#

Bases: object

Keep an image only if below % of non contaminated pixels Inputs :

  • threshold (float) : upper bound of percentage of pixel predicted as cloudy

class eocrops.inputs.utils_sh.EmptyTask(*args, **kwargs)[source]#

Bases: EOTask

This task does not make any change. It is just to avoid to duplicate the LinearWorflow with if/else For example, saving a EOPatch in the workflow would depend if the user specify a path in the parameters of the function workflow

Stores initialization parameters and the order to the instance attribute init_args.