s1tiling.libs.otbwrappers.ApplyLIACalibration

class s1tiling.libs.otbwrappers.ApplyLIACalibration(cfg: Configuration)

Bases: OTBStepFactory

Factory that concludes σ0 with NORMLIM calibration.

It builds steps that multiply images calibrated with β0 LUT, and orthorectified to S2 grid, with the sin(LIA) map for the same S2 tile (and orbit number and direction).

Requires the following information from the configuration object:

• ram_per_process

• lower_signal_value

• fname_fmt – optional key: s2_lia_corrected

• dname_fmt – optional key: tiled

• nodata.SAR – optional

• nodata.LIA – optional

Requires the following information from the metadata dictionary

• input filename

• output filename

• flying_unit_code

• tile_name

• polarisation

• orbit_direction

• orbit

• acquisition_stamp

  New methods & Specialized methods

  __init__	Constructor.
  _get_canonical_input	Helper function to retrieve the canonical input associated to a list of inputs.
  _update_filename_meta_post_hook	Register accept_as_compatible_input hook for s1tiling.libs.meta.accept_as_compatible_input().
  complete_meta	Complete meta information with inputs, and set compression method to DEFLATE.
  parameters	Returns the parameters to use with BandMath OTB application for applying sin(LIA) to β0 calibrated image orthorectified to S2 tile.
  update_image_metadata	Set σ° normlim calibration related information that'll get carried around.

  Methods inherited from parent

  output_directory	Accessor to where output files will be stored in case their production is required (i.e. not in-memory processing).
  create_step	Instanciates the step related to the current StepFactory, that consumes results from the previous input steps.
  update_filename_meta	Duplicates, completes, and returns, the meta dictionary with specific information for the current factory regarding tasks analysis.
  requirement_context	Returns the requirement context that permits to fix missing requirements.
  tmp_directory	Directory used to store temporary files before they are renamed into their final version.
  build_step_output_filename	Returns the names of typical result files in case their production is required (i.e. not in-memory processing).
  set_output_pixel_type	Permits to have steps force the output pixel data.
  build_step_output_tmp_filename	This specialization of StepFactory.build_step_output_tmp_filename() will automatically insert .tmp before the filename extension.
  check_requirements	This specialization of check_requirements() checks whether the related OTB application can correctly be executed from S1Tiling.

  Attributes and properties

  appname	OTB Application property.
  image_description	Property image_description, used to fill TIFFTAG_IMAGEDESCRIPTION
  name	Step Name property.
  param_in	Name of the "in" parameter used by the OTB Application.
  param_out	Name of the "out" parameter used by the OTB Application.
  ram_per_process	Property ram_per_process

_do_create_actual_step(execution_parameters: Dict, input_step: AbstractStep, meta: Dict) → AbstractStep

Instanciates the step related to the current StepFactory, that consumes results from the previous input step.

0. We expect the step metadata and the GDAL image metadata to have been updated.

1. Steps that wrap an OTB application will instanciate this application object, and:

• either pipe the new application to the one from the input step if it wasn’t a first step

• or fill in the “in” parameter of the application with the out_filename() of the input step.

1-bis. in case the new step isn’t related to an OTB application, nothing specific is done, we’ll just return an AbstractStep

_update_filename_meta_pre_hook(meta: Dict) → Dict

Hook meant to be overridden to complete product metadata before they are used to produce filenames or tasknames.

Called from update_filename_meta()

property appname: str

OTB Application property.

build_step_output_filename(meta: Dict) → str | List[str]

Returns the names of typical result files in case their production is required (i.e. not in-memory processing).

This specialization uses gen_output_filename naming policy parameter to build the output filename. See the Available naming policies.

build_step_output_tmp_filename(meta: Dict) → str | List[str]

This specialization of StepFactory.build_step_output_tmp_filename() will automatically insert .tmp before the filename extension.

check_requirements() → Tuple[str, str] | None

This specialization of check_requirements() checks whether the related OTB application can correctly be executed from S1Tiling.

Returns:

A pair of the message indicating what is required, and some context how to fix it – by default: install OTB!

Returns:

None otherwise.

complete_meta(meta: Dict, all_inputs: List[Dict[str, AbstractStep]]) → Dict

Complete meta information with inputs, and set compression method to DEFLATE.

create_step(execution_parameters: Dict, previous_steps: List[List[Dict[str, AbstractStep]]]) → AbstractStep

Instanciates the step related to the current StepFactory, that consumes results from the previous input steps.

1. This methods starts by updating metadata information through: complete_meta() on the input metadatas.

2. Then it updates the GDAL image metadata information that will need to be written in the pipeline output image through update_image_metadata().

3. Eventually the actual step creation method is executed according to the exact kind of step factory (ExecutableStepFactory, AnyProducerStepFactory, OTBStepFactory) through the variation point _do_create_actual_step().

While this method is not meant to be overridden, for simplity it will be in Store factory.

Note: it’s possible to override this method to return no step (None). In that case, no OTB Application would be registered in the actual Pipeline.

property image_description: str

Property image_description, used to fill TIFFTAG_IMAGEDESCRIPTION

property name: str

Step Name property.

output_directory(meta: Dict) → str

Accessor to where output files will be stored in case their production is required (i.e. not in-memory processing)

This property is built from gen_output_dir construction parameter. Typical values for the parameter are:

• os.path.join(cfg.output_preprocess, '{tile_name}'), where tile_name is looked into meta parameter

• None, in that case the result will be the same as tmp_directory(). This case will make sense for steps that don’t produce required products

property param_in: str

Name of the “in” parameter used by the OTB Application. Default is likely to be “in”, while some applications use “io.in”, often “il” for list of files…

property param_out: str

Name of the “out” parameter used by the OTB Application. Default is likely to be “out”, whie some applications use “io.out”.

parameters(meta: Dict) → Dict[str, str | int | float | bool | List[str]]

Returns the parameters to use with BandMath OTB application for applying sin(LIA) to β0 calibrated image orthorectified to S2 tile.

property ram_per_process

Property ram_per_process

requirement_context() → str

Returns the requirement context that permits to fix missing requirements. By default, OTB applications requires… OTB!

set_output_pixel_type(app, meta: Dict) → None

Permits to have steps force the output pixel data.

tmp_directory(meta) → str

Directory used to store temporary files before they are renamed into their final version.

This property is built from gen_tmp_dir construction parameter. Typical values for the parameter are:

• os.path.join(cfg.tmpdir, 'S1')

• os.path.join(cfg.tmpdir, 'S2', '{tile_name}') where tile_name is looked into meta parameter

update_filename_meta(meta: Dict) → Dict

Duplicates, completes, and returns, the meta dictionary with specific information for the current factory regarding tasks analysis.

This method is used:

• while analysing the dependencies to build the task graph – in this use case the relevant information are the file names and paths.

• and indirectly before instanciating a new Step

Other metadata not filled here:

• get_task_name() which is deduced from out_filename by default

• out_extended_filename_complement()

It’s possible to inject some other metadata (that could be used from _get_canonical_input() for instance) thanks to _update_filename_meta_pre_hook().

This method is not meant to be overridden. Instead it implements the template method design pattern, and expects the customization to be done through the specialization of the hooks:

• _update_filename_meta_pre_hook(),

• _update_filename_meta_post_hook().

update_image_metadata(meta: Dict, all_inputs: List[Dict[str, AbstractStep]]) → None

Set σ° normlim calibration related information that’ll get carried around.