swectral.vegeind.savi#

swectral.vegeind.savi(spec_array, wavelength, axis=0, L=0.5)[source]#

Compute SAVI (Soil Adjusted Vegetation Index) of 2D array-like of 1D spectra data series at given L. The calculation is based on:

A.R Huete,
A soil-adjusted vegetation index (SAVI),
Remote Sensing of Environment,
Volume 25, Issue 3,
1988,
Pages 295-309,
ISSN 0034-4257,
https://doi.org/10.1016/0034-4257(88)90106-X.

Parameters:

spec_array2D array_like, shape (n_samples, n_features): 2D array-like of 1D spectral data series.
wavelength1D array_like: Wavelengths for the spectra data.
axisint, optional: Axis of spectral data series index, must be 0 or 1. If 0, each row represents a sample spectrum.
Lfloat or int: Soil influence adjustment parameter. The default is 0.5.

Returns:

pandas.DataFrame: Dataframe containing spectral indices of the samples.

Return type:

DataFrame