Application of GIS technologies in surveying the state of forest crops in the green zone of Astana

Abstract

When carrying out forestry, constant monitoring of plant condition and growth is very important. There is a wide range of Earth remote sensing sources for effective management of woody vegetation in vast areas. The purpose of the study was to identify areas with weekened and dying tree crops in the green observation zone of Astana, Kazakhstan, covering Batys forestry using remote sensing data. The results of studies carried out for research on the growth and development of artificial plantations were obtained. During the experiment, a comparison of remote sensing data was performed using an unmanned aerial vehicle Supercam S350F with multispectral camera Micasense RedEdge and high-resolution measurements obtained with Sentinel-2 and PlanetScope satellites in order to select a method for solving the tasks. Based on the materials of multispectral diagnostics, the state of forest plantations in Batys forestry was revealed, where 35 % of tree crops were classified as healthy, 30 % - as weakened, and 35 % - as dying.