swectral.vegeind.ndvi#

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

Compute NDVI (Normalized Difference Vegetation Index) of 2D array-like of 1D spectra data series. The calculation is based on:

Compton J. Tucker,
Red and photographic infrared linear combinations for monitoring vegetation,
Remote Sensing of Environment,
Volume 8, Issue 2,
1979,
Pages 127-150,
ISSN 0034-4257,
https://doi.org/10.1016/0034-4257(79)90013-0.

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