Unmanned aerial vehicles and land technique assessment of young forest stands

A. Filatov, A. V. Gryazkin, O. Gavrilova
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Abstract

The article presents the data on the composition and condition of mixed young forests, obtained using unmanned aerial vehicles and the classical land technique. The plotting of the forest area was carried out by quadcopters. The land technique was used to assess the composition and condition of young stands, undergrowth and live ground cover on10 m2 circular plots. At each object, 48 discount areas were laid. The objects of study are young stands of natural and artificial origin. It was established that young growths of natural origin were formed in the 7 hectares cutover plots in 2006. They include pine, spruce, birch, aspen and alder. Spruce plantations were created in 2012 on an area of 12 hectares. It is shown that the understories and small undergrowth are not visible from a quadcopter, while the classical method gives the detailed characteristics. Additional characteristics of young forests obtained with the help of unmanned aerial vehicles are given. It is shown that the results obtained by the two methods are consistent, the error in the main characteristics does not exceed 10%. The combination of the two methods gives more complete information on the forest area. However, each of the methods used has its own advantages and disadvantages.
幼林林分无人机与陆地技术评价
本文介绍了利用无人机和经典陆地技术获得的混交林幼林组成和状况的数据。森林区域的绘图是由四轴飞行器完成的。采用土地技术评价了10 m2圆形样地幼林、林下和活地被的组成和状况。在每个物体上,放置了48个折扣区。研究对象是自然和人工生长的幼林。2006年,在7公顷的割地中形成了自然生长的幼体。它们包括松树、云杉、桦树、白杨和桤木。云杉种植园建于2012年,占地12公顷。结果表明,在四轴飞行器上看不到林下和小林下,而经典方法给出了详细的特征。给出了在无人机帮助下获得的幼林的附加特征。结果表明,两种方法得到的结果是一致的,主要特征误差不超过10%。两种方法的结合提供了更完整的森林面积信息。然而,所使用的每种方法都有其自身的优点和缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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