The unmanned aerial vehicles usage experience on tasks of forest inventory and topography

UDK: 528.4:622.276
DOI: 10.24887/0028-2448-2021-9-90-94
Key words: photogrammetry; aerial LiDAR survey, unmanned air vehicle (UAV), forest inventory, digital terrain model
Authors: A.N. Pogorodniy (Rosneft – NTC LLC, RF, Krasnodar), N.N. Filin (Rosneft – NTC LLC, RF, Krasnodar), S.A. Shumeyko (Rosneft – NTC LLC, RF, Krasnodar), S.A. Arbuzov (Siberian State University of Geosystems and Technologies, RF, Novosibirsk), N.N. Berdnikov (Rosneft Oil Company, RF, Moscow)

This publication presents a study of the possibility of using aerial photography equipment DJI P4 Multispectral, a feature of which is the presence of a multispectral camera, in the field of recognizing the species composition of the forest stand and obtaining data for determining the inventory indicators, as an integral part of forest management and forest inventory operations. This work is part of a research project aimed at developing a proprietary forest inventory methodology using airborne laser scanning data (LiDAR) and digital aerial photography, developed in the interests of Rosneft. Within the framework of the study, the following tasks were set: a) check the possibility of using the data of the DJI Phantom 4 Multispectral drone to identify trees, determine their heights, as well as classify forest elements by species composition; b) reveal the optical features of the DJI Phantom 4 Multispectral drone; c) determine the reliability and accuracy of fixing the heights of wood vegetation using aerial photography and airborne laser scanning (LiDAR) methods. An overview of the used equipment, the fieldwork process, and the algorithms applied during the data processing is provided. The results obtained from the use of aerial survey materials for automated decoding of tree species presented are analysed. The reliability and determination of the accuracy of fixing the heights of tree vegetation by aerial photography and airborne laser scanning verified, and the applicability of laser scanning data for topography problems assessed. Conclusions drawn about the prospects of using multispectral data and a photogrammetric point cloud for determining tree heights, segmentation of tree crowns and classification of species. In addition, the conclusion made about the possibility of using LiDAR data in the field of topography. A general conclusion is made on the applicability of using the DJI P4 Multispectral complex when performing forest inventory at Rosneft facilities and developing new methods for obtaining data for determining forest inventory indicators.

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