Identification of species of the genus Acer L. using vegetation indices calculated from the hyperspectral images of leaves

Abstract

Selection of the most suitable spectral vegetation indices which are applicable to the remote sensing of the forest species composition and status, is an important task aimed at the evaluation of the large-scale plant communities. There are 80 vegetation indices have been collected in the present work using the hyperspectral data, including that for the Acer platanoides L., A. saccharinum L. and A. pseudoplatanus