Identification of the Species Composition of Tree and Shrub Vegetation according to Airborne Laser Scanning Data of the Anapa Bay-Bar (Black Sea)

A. V. Karagyan*, S. V. Krylenko

Shirshov Institute of Oceanology RAS, Gelendzhik, Russia

* e-mail: karagyan.arsen@yandex.ru

Abstract

The article aims at testing a method for automatic identification of vegetation by species composition according to airborne laser scanning data with automatic determination of geometric attribute data. The article discusses the relationship between the geometric parameters of tree and shrub vegetation and its species composition. Accurate identification of the correlation of parameters allows automating the selection of species composition. This simplifies the process of inventorying vegetation by species composition on the territory. The work was based on the method of automatic identification of vegetation according to airborne laser scanning data with automatic determination of geometric attribute data. An area located on the Anapa Bay-Bar was chosen as a testing ground for the method of automatic identification of vegetation by species composition. During the work, field measurements and field interpretation of aerial photography data were carried out. The data from machine processing and field measurements were compared, the correlation indicators between the species composition and the geometric attribute data of vegetation were calculated. Based on the correlation values, verifying coefficients of the species are proposed. In addition, during the work, the error that occurs during automatic processing of airborne laser scanning data was calculated, quantitative indicators of vegetation by species composition were calculated, and average values of vegetation heights by species on the territory of the Anapa Bay-Bar were determined.

Keywords

laser scanning, Anapa Bay-Bar, automation, vegetation

Acknowledgments

This work was funded by the Russian Science Foundation under project no. 20-17-00060 “The modern stage of the evolution of sandy accumulative forms of the Azov-Black Sea coast of Russia”.

For citation

Karagyan, A.V. and Krylenko, S.V., 2022. Identification of the Species Composition of Tree and Shrub Vegetation according to Airborne Laser Scanning Data of the Anapa Bay-Bar (Black Sea). Ecological Safety of Coastal and Shelf Zones of Sea, (3), pp. 93–103. doi:10.22449/2413-5577-2022-3-93-103

DOI

10.22449/2413-5577-2022-3-93-103

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