Classical and Modern Remote Mapping Methods for Vegetation Cover

A. Česnulevičius, Arturas Bautrenas, Linas Bevainis, Donatas Ovodas
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Abstract

Plant classification is quite complex and multilevel. All living organisms are divided into domains, kingdoms, types, classes, ranks, families, tribes, and species. This classification complexity is also reflected in the classification of biogeographic maps, which is much simpler. Based on floristic dependence, vegetation is grouped by connecting it into spatial (territorial) complexes. This paper presents the interfaces of mapping methods with taxonomic vegetation types at different hierarchical levels. At the same time, examples of vegetation mapping techniques from national and thematic atlases of different countries are presented in this article. UAV aerial photographs are widely used for local mapping of vegetation areas. The authors of this article propose a new methodology that can be used to assess the ecological condition of young trees and the volume of mature forest wood. The methodology is based on the separation of tree crown areas in UAV aerial photographs and photo color analysis. For automated area calculation of young trees, a PixRGB software has been developed to determine the area of pixels of the same color in aerial photographs. The software is based on the comparison of young tree crown area calculations in AutoCAD software and area measurements of individual color spectrum pixels. In the initial stage, aerial photographs are transformed to the exact size of the photographed area. Transformations were performed with an error of less than 2–3 cm. The transformation of the spectrum of aerial photographs allowed to concentrate the color of the image of young trees in a relatively narrow color range. Studies performed in 2019–2020 to assess the ecological condition of trees and the amount of wood using UAV INSPIRE 1 and PixRGB color analysis software showed the effectiveness of the applied methodology.
植被覆盖的经典与现代遥感制图方法
植物分类是一个非常复杂和多层次的问题。所有生物都被划分为域、界、类型、类、等级、科、部落和种。这种分类的复杂性也反映在生物地理地图的分类上,后者要简单得多。基于植物区系的依赖性,植被通过将其连接到空间(领土)复合体中进行分组。本文介绍了不同层次植被分类类型制图方法的接口。同时,本文还介绍了各国国家地图集和专题地图集的植被制图技术实例。无人机航拍被广泛用于植被区域的局部制图。本文提出了一种评价幼树生态状况和森林成熟材积的新方法。该方法基于无人机航拍中树冠区域的分离和照片颜色分析。为了实现幼树面积的自动计算,开发了一种PixRGB软件,用于确定航空照片中相同颜色像素的面积。该软件是基于AutoCAD软件中树冠面积计算与单个彩色光谱像素面积测量的对比。在初始阶段,航空照片被转换成拍摄区域的精确大小。转换的误差小于2-3厘米。航空照片的光谱变换使幼树图像的颜色集中在一个相对狭窄的颜色范围内。2019-2020年,利用无人机INSPIRE 1和PixRGB颜色分析软件对树木的生态状况和木材量进行了评估,结果表明该应用方法是有效的。
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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