Difference of reflections from coniferous and foliar vegetation according to spectrozonal remote sensing data

Abstract

The paper presents results of the spectral brightness study of coniferous and foliar forests on the satellite images Landsat-7 for different seasons. Spectral channels, in which reflections from such species most differ from each other, are determined. The obtained results allow one to form standards for the classification of forest vegetation cover in different phenological phases. To increase the distinctiveness of the analyzed objects, information about their brightness was merged for different combinations of two spectral channels. This allows one to form two additional classification features: the Euclidean distance and spectral angle in two-dimensional brightness space. It is shown that the combination of two channels can significantly increase the number and quality of the formed features for the selection of coniferous and foliar vegetation. © 2020 American Institute of Physics Inc.. All rights reserved.