ASSESSMENT OF THE STRUCTURAL DYNAMICS OF THE AMANKARAGAI PINE FOREST USING REMOTE SENSING DATA

Abstract

The article reflects the dynamics of the structure of woodlands, using methods of remote sensing of the Earth (remote sensing). The research area is represented by the Amankaragai island pine forest, located in the Auliekolsky district of the Kostanay region of Kazakhstan. Changes in forest cover in the time interval from 1993 to 2021 were considered. Data sources are represented by multispectral channels received from Landsat 5 TM and Landsat 8 OLI satellites. The research method was based on a cartographic model of Forest Canopy Density (FCD). The FCD model is relevant for assessing the state of forests and identifying changes in them. It uses 4 factors: vegetation, soil denudation, shade from the forest crown and temperature, expressed in the corresponding indices. The Advanced vegetation index (AVI), the open soil index (Bare soil index - BI), the Canopy shadow index (SI) and the thermal index (Thermal index – TI) are the initial parameters for calculating the forest crown. The calculations were carried out using the ArcGIS Desktop v10.6 software. The final results of the study showed the distribution of the density of woodlands in the study area in the following categories: dense, medium, sparse forests and treeless.