Orthorectification fails if L1B data are pseudo-projected/rotated

If the sensor geometry input data contain a map info with a rotation, the orthorectification fails:

2022/03/16 20:50:59:   Starting orthorectification...
2022/03/16 20:50:59:   Computed common target extent of orthorectified image (xmin, ymin, xmax, ymax in EPSG 32632): (620070.0, 5226540.0, 655080.0, 5262900.0)
2022/03/16 21:10:23:   Orthorectifying VNIR data using 'nearest' resampling algorithm...
2022/03/16 21:11:46:   Orthorectifying SWIR data using 'nearest' resampling algorithm...
2022/03/16 21:26:54:   Merging VNIR and SWIR data...
2022/03/16 21:26:55:   Orthorectifying 'mask_landwater' attribute...
FAILED
tests/test_orthorectification.py:110 (Test_Orthorectifier_DLR.test_run_transformation)
self = <tests.test_orthorectification.Test_Orthorectifier_DLR testMethod=test_run_transformation>

    def test_run_transformation(self):
        OR = Orthorectifier(config=self.config)
>       L2_obj = OR.run_transformation(self.L1_obj)

test_orthorectification.py:113: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../enpt/processors/orthorectification/orthorectification.py:142: in run_transformation
    attr_ortho = GeoArray(*GT_2D.to_map_geometry(attr, **kw_trafo), nodata=attr.nodata)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <enpt.processors.spatial_transform.spatial_transform.Geometry_Transformer object at 0x7f88f58d52b0>
path_or_geoarray_sensorgeo = <geoarray.baseclasses.GeoArray object at 0x7f88f75ed670>
tgt_prj = 32632, tgt_extent = (620070.0, 5226540.0, 655080.0, 5262900.0)
tgt_res = None, tgt_coordgrid = (array([ 0, 30]), array([ 0, 30]))
area_definition = None

    def to_map_geometry(self,
                        path_or_geoarray_sensorgeo: Union[str, GeoArray, np.ndarray],
                        tgt_prj:  Union[str, int] = None,
                        tgt_extent: Tuple[float, float, float, float] = None,
                        tgt_res: Tuple[float, float] = None,
                        tgt_coordgrid: Tuple[Tuple, Tuple] = None,
                        area_definition: AreaDefinition = None):
        data_sensorgeo = GeoArray(path_or_geoarray_sensorgeo)
    
        if data_sensorgeo.is_map_geo:
>           raise RuntimeError('The dataset to be transformed into map geometry already represents map geometry.')
E           RuntimeError: The dataset to be transformed into map geometry already represents map geometry.

../enpt/processors/spatial_transform/spatial_transform.py:87: RuntimeError