Luts package

Beta for testing

Luts.Collection

Superclass for TxtCollection (from SOS wrapper) and HdrCollection (CS format). A Collection is primarily a dictionary of LUT objects referenced by their wavelength, with additional meta-data. The creation of the Collection is agnostic to the actual content of 'path', and gathers meta-data and binary values automatically.

Public methods:

none, all private

Attributes:

• sensor (str): name of sensor found from filename
• aerosol (str): name of aerosol type from filename
• bands (numpy.array): vector of wavelengths from filename
• prop (str): prop from filename
• luts (dict): dictionary of Lut objects referenced by their wavelength

Usage example:

import Luts.Collection as lt

Create a collection of Luts for 'refl':

venus_refl = lt.TxtCollection("tests/VENUS_zerodeuxSansAbsorption", var='refl')

Show available bands :

print(venus_refl.bands)

Slice the lut for 492nm along tau, alt, d_phi, th_v, th_s and plot the resulting r_toa = f(r_surf):

venus_refl.luts['492'].data.sel(tau='0.125', alt='0', d_phi='0.0', th_v='7.0', th_s='15.0').plot()

Luts.Lut

A LUT object contains primarily the lut values in self.data (xarray), and additional meta-data

Public methods :

none, all private

Attributes:

• data (xarray): contains the lut values from binary file
• dims (str): label of lut dimension
• dims_len (list): size of dimensions
• coords (dict): xarray coordinates
• fmeta (str): name of meta-data file
• name (str): label name of the variable from lut

Usage:

only through a Collection (recommended)