tndvi

eolab.georastertools.processing.algo.tndvi(bands: ndarray) → ndarray[source]

Compute the Transformed Normalized Difference Vegetation Index The coefficient is positive in each pixel.

The function considers the bands of the input data in the following order : Red, NIR (Near Infra-Red).

\[TNDVI = \sqrt{NDVI + 0.5}\]

Parameters:: input_data (np.ndarray) – Numpy array of 3 dimensions (number of bands, number of lines, number of columns) with number of bands > 1.
Returns:: Numpy array of the size (number of lines, number of columns) containing the computed TNDVI.

References

Deering D.W., Rouse J.W., Haas R.H., and Schell J.A., 1975. Measuring forage production of grazing units from Landsat MSS data. Pages 1169-1178 In: Cook J.J. (Ed.), Proceedings of the Tenth International Symposium on Remote Sensing of Environment (Ann Arbor, 1975), Vol. 2, Ann Arbor, Michigan, USA.