Identification of the Leaves of Ulmus pumila L., Tilia cordata Mill. and Acer campestre L. Using Vegetation Indices

Year 2024, Volume: 10 Issue: 1, 54 - 66, 27.06.2024

Pavel Dmitriev , Boris Kozlovsky Anastasiya Dmitrieva Tatiana Varduni

https://doi.org/10.33904/ejfe.1430606

Abstract

The aim of the research was to evaluate a group of vegetation indices (VIs) for identifying the leaves of some species including Ulmus pumila L., Tilia cordata Mill. and Acer campestre L. Hyperspectral imaging (HSI) was carried out under artificial lighting in laboratory conditions using a Cubert UHD-185 hyperspectral camera. A technique was developed for the automated selection of pure spectral profiles from hyperspectral images by setting a double barrier specified by intervals of PSSR and NDVI VIs. A total of 80 VIs was calculated. A statistical analysis of the data was carried out to determine their representativeness. The VIs that were most dependent on the species characteristics of the trees were determined using analysis of variance (ANOVA) and principal component analysis (PCA) methods. Research has shown that the PCA method is effective and sufficient to identify the group of VIs characterized by the highest dispersion related to tree species. The PCA carried out for pairs of tree species made it possible to identify a group of vegetation indices, the value of which to the greatest extent depends on species characteristics. These VIs are Carter2, CI2, CRI4, GMI2, mSR2, NDVI2, OSAVI2, SR1, Carter4, Datt2, SR6, Datt, DD, Maccioni, MTC.

Keywords

Hyperspectral imaging, Principal component analysis, Region of interest, Species classification, Woody plants

Ethical Statement

All authors have read, understood, and have complied as applicable with the statement on "Ethical responsibilities of Authors" as found in the Instructions for Authors.

Supporting Institution

Southern Federal University

Project Number

Ministry of Science and Higher Education of the Russian Federation (no. FENW-2023-0008)

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