hypso.atmospheric.atmospheric_correction_6sv1
Module Contents
Functions
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Get the parameters you need for 6s atmospheric correction |
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Trim and clip Spectral Response Function (SRF) to the 6SV1 requirements |
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Call the 6s model and assign values to the parameters to obtain the atmospheric correction coefficients |
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Calculate surface reflectance from at-sensor radiance given waveband name and the 6SV1 coefficients |
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Alternative NOT USED method to correct based on the coefficients a, b and c |
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Run the PY6S atmospheric correction on the Hypso spectral image |
- hypso.atmospheric.atmospheric_correction_6sv1.BasicParameters(wavelengths, hypercube_L1, hypso_info, lat_2d_array, lon_2d_array, time_capture)
Get the parameters you need for 6s atmospheric correction
- Parameters:
wavelengths (numpy.ndarray) – Wavelengths corresponding to the spectral image
hypercube_L1 (numpy.ndarray) – Hypercube of the spectral image L1B
hypso_info (dict) – Dictionary containing the information of the spectral image
lat_2d_array (numpy.ndarray) – 2D latitude array of the spectral image
lon_2d_array (numpy.ndarray) – 2D longitude array of the spectral image
time_capture (datetime) – Time of the capture
- Returns:
Dictionary of the Basic Paramters for the PY6SV1 correction method
- Return type:
dict
- hypso.atmospheric.atmospheric_correction_6sv1.clip_srf(single_wl, single_srf)
Trim and clip Spectral Response Function (SRF) to the 6SV1 requirements
- Parameters:
single_wl – Wavelengths for the SRF
single_srf – Single band SRF [0, 1]
- Returns:
Returns the wavelength of the SRF adjusted for 6SV1 and the SRF for the 6SV1 model [0, 1]
- Return type:
Tuple[numpy.ndarray, numpy.ndarray]
- hypso.atmospheric.atmospheric_correction_6sv1.AtmosphericCorrection(BandId, SixsInputParameter, srf)
Call the 6s model and assign values to the parameters to obtain the atmospheric correction coefficients
- Parameters:
BandId (int) – ID of the band being corrected
SixsInputParameter (dict) – Basic Parmeters used for the correction
srf (list) – Spectral response functions for Hypso
- Returns:
- Return type:
dict
- hypso.atmospheric.atmospheric_correction_6sv1.get_surface_reflectance(radiance_band, py6s_results)
Calculate surface reflectance from at-sensor radiance given waveband name and the 6SV1 coefficients
- Parameters:
radiance_band (numpy.ndarray) – Radiance band to calculate surface reflectance (2D array)
py6s_results (dict) – Dictionary containing the results of the correction
- Returns:
Surface reflectance for a single band
- Return type:
numpy.ndarray
- hypso.atmospheric.atmospheric_correction_6sv1.get_corrected_radiance(radiance_band, py6s_results)
Alternative NOT USED method to correct based on the coefficients a, b and c
- Parameters:
radiance_band (numpy.ndarray) – Radiance band to calculate surface reflectance (2D array)
py6s_results – Dictionary containing the results of the correction
- Returns:
Surface reflectance for a single band
- Return type:
numpy.ndarray
- hypso.atmospheric.atmospheric_correction_6sv1.run_py6s(wavelengths, hypercube_L1, hypso_info, lat_2d_array, lon_2d_array, py6s_dict, time_capture, srf)
Run the PY6S atmospheric correction on the Hypso spectral image
- Parameters:
wavelengths (numpy.ndarray) – Wavelengths corresponding to the spectral image
hypercube_L1 (numpy.ndarray) – Hypercube of the spectral image L1B
hypso_info (dict) – Dictionary containing the information of the spectral image
lat_2d_array (numpy.ndarray) – 2D latitude array of the spectral image
lon_2d_array (numpy.ndarray) – 2D longitude array of the spectral image
py6s_dict (dict) – Dictionary containing the PY6S information for atmospheric correction
time_capture (datetime) – Time of the capture
srf (list) – Spectral response function for each of the 120 bands
- Returns:
Return 3-channel surface reflectance spectral image
- Return type:
numpy.ndarray