swectral.vegeind.gndvi#

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

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

Anatoly A. Gitelson, Yoram J. Kaufman, Mark N. Merzlyak,
Use of a green channel in remote sensing of global vegetation from EOS-MODIS,
Remote Sensing of Environment,
Volume 58, Issue 3,
1996,
Pages 289-298,
ISSN 0034-4257,
https://doi.org/10.1016/S0034-4257(96)00072-7.

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