Features of aerophotics data use in the collection of forestry lands information
DOI:
https://doi.org/10.31548/bio2018.05.028Keywords:
aerial photography, mapping, unmanned aerial vehicles, land managementAbstract
Introduction. The relevance of the research topic is connected with the issue of the comprehensive filling of the State Land Cadastre which will include information on all lands on the territory of Ukraine, including forest lands. The relevant purpose of the study was to study the ratio of aerial photography capabilities of UAVs to the applied tasks of collecting and interpreting information on forest lands.
Methods. The practical part of the work was performed at a industrial test site in Kharkov, which has a partial wood covering.
Results. According to the results of the study, it is possible to draw a practical conclusion about the possibility of using UAVs in the tasks of streamlining forest lands with certain limitations.
In order to study the possibility of using the data of UAVs in the processes of streamlining the lands of the forest fund, the plot was partially aerial photographed. Considering that the Ukrainian legislation defines the lands of the forest fund as: “... lands covered with forest vegetation, and also not covered with forest vegetation, non-forest lands ...” (Art. 55 of the Land Code of Ukraine), special attention was caused by groups of tree plantations and the ability to display geospatial information about objects near them. After completing the flight plan (Leica Aibot x6 copter-type UAV, flight altitude 50 m.) receiving the terrain horticulture plan, the process of obtaining a cloud of points began. After setting the necessary parameters, the procedure for determining the position and orientation of the camera for each frame occurs, an array of points corresponding to the removed surface is created. For the correction of the created rarefied cloud, the whole set of points is subjected to statistical verification, after which the erroneous points are removed. Based on the calculated and statistically adjusted camera positions, depth maps are calculated for each image. Next is the addition of the original sparse point cloud.
Discussion. The effectiveness of the use of UAVs in solving simple cartographic and geodesic tasks has been proven once again, however, a number of limitations have been identified in the context of land management.
Thus, when forming a detailed cloud of points of a territory with a large number of tree plantations, there is no direct visibility of ground objects through the density of closing of tree crowns, which makes it impossible to accurately determine the boundaries of land plots, glades, signs, small objects in the case of surveys having leaves on the trees. The described study has development prospects in the direction of improving the methodology for collecting spatially distributed data on forestry land and introducing a single standard for collecting and interpreting information
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