enpt.model package

Subpackages

• enpt.model.images package
  • Submodules
  • enpt.model.images.image_baseclasses module
    • _EnMAP_Image
      • _EnMAP_Image._get_geoarray_with_datalike_geometry()
      • _EnMAP_Image.data
      • _EnMAP_Image.deadpixelmap
      • _EnMAP_Image.dem
      • _EnMAP_Image.generate_quicklook()
      • _EnMAP_Image.mask_cirrus
      • _EnMAP_Image.mask_clouds
      • _EnMAP_Image.mask_cloudshadow
      • _EnMAP_Image.mask_haze
      • _EnMAP_Image.mask_landwater
      • _EnMAP_Image.mask_snow
      • _EnMAP_Image.polymer_bitmask
      • _EnMAP_Image.polymer_logchl
      • _EnMAP_Image.polymer_logfb
      • _EnMAP_Image.polymer_rgli
      • _EnMAP_Image.polymer_rnir
  • enpt.model.images.images_mapgeo module
    • EnMAPL2Product_MapGeo
      • EnMAPL2Product_MapGeo.from_L1B_sensorgeo()
      • EnMAPL2Product_MapGeo.get_paths()
      • EnMAPL2Product_MapGeo.log
      • EnMAPL2Product_MapGeo.logger
      • EnMAPL2Product_MapGeo.save()
    • EnMAP_Detector_MapGeo
      • EnMAP_Detector_MapGeo.calc_mask_nodata()
      • EnMAP_Detector_MapGeo.mask_nodata
  • enpt.model.images.images_sensorgeo module
    • EnMAPL1Product_SensorGeo
      • EnMAPL1Product_SensorGeo.DN2TOARadiance()
      • EnMAPL1Product_SensorGeo.append_new_image()
      • EnMAPL1Product_SensorGeo.calc_snr_from_radiance()
      • EnMAPL1Product_SensorGeo.correct_dead_pixels()
      • EnMAPL1Product_SensorGeo.get_paths()
      • EnMAPL1Product_SensorGeo.get_preprocessed_dem()
      • EnMAPL1Product_SensorGeo.log
      • EnMAPL1Product_SensorGeo.logger
      • EnMAPL1Product_SensorGeo.run_AC()
      • EnMAPL1Product_SensorGeo.save()
      • EnMAPL1Product_SensorGeo.set_SWIRattr_with_transformedVNIRattr()
      • EnMAPL1Product_SensorGeo.transform_swir_to_vnir_raster()
      • EnMAPL1Product_SensorGeo.transform_vnir_to_swir_raster()
    • EnMAP_Detector_SensorGeo
      • EnMAP_Detector_SensorGeo.DN2TOARadiance()
      • EnMAP_Detector_SensorGeo._transform_raster_geometry_from_other_detector()
      • EnMAP_Detector_SensorGeo.append_new_image()
      • EnMAP_Detector_SensorGeo.correct_dead_pixels()
      • EnMAP_Detector_SensorGeo.get_paths()
      • EnMAP_Detector_SensorGeo.get_preprocessed_dem()
      • EnMAP_Detector_SensorGeo.save_raster_attributes()
    • EnMAP_SWIR_SensorGeo
      • EnMAP_SWIR_SensorGeo.transform_vnir_to_swir_raster()
    • EnMAP_VNIR_SensorGeo
      • EnMAP_VNIR_SensorGeo.read_masks()
      • EnMAP_VNIR_SensorGeo.transform_swir_to_vnir_raster()
  • Module contents
• enpt.model.metadata package
  • Submodules
  • enpt.model.metadata.metadata_mapgeo module
    • EnMAP_Metadata_L2A_MapGeo
      • EnMAP_Metadata_L2A_MapGeo.add_band_statistics()
      • EnMAP_Metadata_L2A_MapGeo.add_product_fileinformation()
      • EnMAP_Metadata_L2A_MapGeo.get_common_UL_UR_LL_LR()
      • EnMAP_Metadata_L2A_MapGeo.to_XML()
    • xmlSubtree2dict()
  • enpt.model.metadata.metadata_sensorgeo module
    • EnMAP_Metadata_L1B_Detector_SensorGeo
      • EnMAP_Metadata_L1B_Detector_SensorGeo._get_snr_model()
      • EnMAP_Metadata_L1B_Detector_SensorGeo.calc_smile()
      • EnMAP_Metadata_L1B_Detector_SensorGeo.calc_snr_from_radiance()
      • EnMAP_Metadata_L1B_Detector_SensorGeo.calc_solar_irradiance_CWL_FWHM_per_band()
      • EnMAP_Metadata_L1B_Detector_SensorGeo.compute_geolayer_for_cube()
      • EnMAP_Metadata_L1B_Detector_SensorGeo.interpolate_corners()
      • EnMAP_Metadata_L1B_Detector_SensorGeo.read_metadata()
    • EnMAP_Metadata_L1B_SensorGeo
      • EnMAP_Metadata_L1B_SensorGeo.get_earth_sun_distance()
      • EnMAP_Metadata_L1B_SensorGeo.read_common_meta()
      • EnMAP_Metadata_L1B_SensorGeo.read_metadata()
      • EnMAP_Metadata_L1B_SensorGeo.scene_basename
      • EnMAP_Metadata_L1B_SensorGeo.to_XML()
  • Module contents

Submodules

enpt.model.srf module

EnPT module for handling spectral response functions.

class enpt.model.srf.SRF(wvl_unit: str = 'nanometers', wvl_min: float = 400, wvl_max: float = 2500, specres_nm: float = 1, format_bandnames: bool = False, v: bool = False)

Bases: object

SRF instance provides SRF functions, wavelength positions, etc..

Parameters:

• wvl_unit – the wavelengths unit to be used within SRF instance (‘nanometers’ or ‘micrometers)

• wvl_min –

• wvl_max –

• specres_nm – output spectral resolution of SRFs in nanometers

• format_bandnames – whether to format default strings from LayerBandsAssignment as ‘B01’, ‘B02’ etc..

• v – verbose mode

static compute_gaussian_srf(cwl: float, fwhm: float, wvl_min: float, wvl_max: float, wvl_res: float, normalize: bool = True) → ndarray

Compute a spectral response function based on center wavelength and bandwidth using on a gaussian curve.

Parameters:

• cwl – target center wavelength position

• fwhm – target bandwidth (full width half maximum)

• wvl_min – minimum wavelength to compute spectral response for

• wvl_max – maximum wavelength to compute spectral response for

• wvl_res – spectral resolution at which spectral response is to be computed

• normalize – whether to normalize the output spectral response to values between 0 and 1

Returns:

2D numpy.ndarray: rows: response per wavelength; columns: wavelength/response

convert_wvl_unit()

Convert the wavelength unit to nanometers if they are in micrometers or vice versa.

classmethod from_cwl_fwhm(cwls: list | ndarray, fwhms: list | ndarray, **kwargs: dict) → SRF

Create an instance of SRF based on center wavelength positions and bandwidths (using gaussian responses).

Parameters:

• cwls – center wavelength positions

• fwhms – bandwidths

• kwargs – Keyword arguments to be passed to SRF.__init__().

Returns:

SRF instance

instrument(bands)

plot_srfs(figsize: tuple = (15, 5), band: str | List[str] = None, normalize: bool = True)

Show a plot of all spectral response functions.

Parameters:

• figsize – figure size of the plot

• band – band key to plot a single band instead of all bands

• normalize – normalize SRFs to 0-1 (default: True)

Module contents

EnPT module ‘model’, containing all kinds of data models.