Determination of the canopy density of forest stand by the materials of UAV survey
DOI:
https://doi.org/10.31548/forest2020.01.013Abstract
The issues of improving the quality of determining the canopy density of the forest stand are relevant and have practical importance for forestry and horticulture. However, the eye examination of canopy is a subjective of its perception and use of instrumental methods makes this process more complex.
The aim of the study is to improve methods for determining the canopy density by increasing the quality and reliability of measurements by determining the weighted average value of density in the whole territory, as well as eliminating the subjectivity of performers. To achieve this goal, we propose the use of aerial photography of the territory from an unmanned aerial vehicle with the subsequent determination of the ratio of the area, which is under the tree crowns to the total area of the territory, which is achieved by processing the orthogonal photographic plan in the environment of the geographic information system.
The method, what we propose for determining the canopy density of the forest stand allows us to correct inaccuracies in traditional methods that we use in forest and park management. Moreover, the use of UAV survey materials in a GIS environment allows to improve the quality of measurements due to the analysis of the entire area of the territory and to avoid the subjectivity of the results due to computer processing of data.
The results of our study correspond to the general trend of the findings on the prospects of using remote sensing materials (including the results of UAV surveys) for determining the biometric indicators of forest stands. Our approach to research of the forest and park territories allows to determine the horizontal canopy density of the forest stand with a decrease in the complexity of field work, automate the process of obtaining information and increase the accuracy.
Keywords: tree stand closeness, planting completeness, unmanned aerial vehicle, GIS.
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