swectral.vegeind.padvi#

swectral.vegeind.padvi(spec_array, wavelength, axis=0)[source]#

Compute PAD vegetation indices (Derivative Pseudo-Absorption Vegetation Indices) of 2D array-like of 1D spectra data series. The calculation is based on:

George Alan Blackburn,
Quantifying Chlorophylls and Caroteniods at Leaf and Canopy Scales: An Evaluation of Some Hyperspectral Approaches,
Remote Sensing of Environment,
Volume 66, Issue 3,
1998,
Pages 273-285,
ISSN 0034-4257,
https://doi.org/10.1016/S0034-4257(98)00059-5.

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.

Returns:

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

Return type:

DataFrame