Creation of Methods for Automated Determination of Forest Parameters Based on Data from UAVS
Roman Aleshko1, Ksenia Shoshina2, Irina Vasendina3, Aleksandr Bogdanov4, Aleksandr Karpov5

1Roman Aleshko*, Northern (Arctic) Federal University, Arkhangelsk, Russia.
2Ksenia Shoshina, Northern (Arctic) Federal University, Arkhangelsk, Russia.
3Irina Vasendina, Northern (Arctic) Federal University, Arkhangelsk, Russia.
4Aleksandr Bogdanov, Northern Research Institute of Forestry, Arkhangelsk, Russia.
5Aleksandr Karpov, Northern (Arctic) Federal University, Arkhangelsk, Russia.
Manuscript received on November 26, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 1523-1526 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B3639129219/2020©BEIESP | DOI: 10.35940/ijeat.B3639.129219
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Abstract: The article presents a scientific study on the use of aerial photographs obtained by unmanned aerial vehicle (UAV), for the automated collection of data on forest resources in the taiga forests of the European North of Russia. On the example of the trial plot, a technique is described for automated allocation of crown contours, calculation of the trunk diameter and timber stock in the forest area. The methodology used morphological methods for processing digital images, geographic information tools for representing and processing spatial information, as well as the results of statistical observations of leading scientists in the field of forestry. The results have been verified in the field in several plots. The technique is applicable to automate the process of thematic interpretation of orthorectified aerial photographs with a spatial resolution of five to ten centimeters per pixel. The experiments presented in the article were carried out on images of forests in the north of the European part of Russia. The research results are used for regular automated updating of information on forest resources.
Keywords: Digital image processing, Aerial photographs, Satellite images, UAVs, forest area, Updating of information.