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An improved tree crown delineation method based on live crown ratios from airborne LiDAR data

机译：基于机载LiDAR数据中活树冠比的改进树冠描绘方法

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摘要

Individual tree crowns are one of the basic forest inventory data, which can be used in various forest-related studies such as biomass and carbon stock estimation. High-resolution remote-sensing data including airborne LiDAR-derived surfaces have been widely used for delineating tree crowns. This study proposes an improved tree crown delineation algorithm that can be effectively applied to a range of forests with a limited number of parameters considering its operational use with airborne LiDAR data. The proposed algorithm integrates morphological operators, Otsu's method, marker-controlled watershed segmentation, and the concept of crown ratios. The proposed algorithm was compared with the region growing method, a widely used tree crown delineation algorithm. The two algorithms were evaluated over 10 plots in rugged terrain located in Kangwon Province in South Korea. Results show that the proposed approach produced much better performance (~87% matched on average) for 10 plots with a range of tree densities than the region growing method (~60% matched on average). The proposed algorithm worked better for sparse plots than dense ones. It also worked well for deciduous plots (plots 1 and 4). On the other hand, the region growing method produced relatively low accuracy with many merged crowns, which requires additional postprocessing such as a resplit step.
机译：单个树冠是基本的森林清查数据之一，可用于各种与森林有关的研究，例如生物量和碳储量估算。包括机载LiDAR衍生的表面在内的高分辨率遥感数据已广泛用于描绘树冠。这项研究提出了一种改进的树冠轮廓描绘算法，考虑到其与机载LiDAR数据的操作用途，该算法可以有效地应用于参数数量有限的一系列森林。该算法融合了形态学算子，Otsu方法，标记控制的分水岭分割和冠比率的概念。将所提出的算法与广泛使用的树冠描绘算法区域生长方法进行了比较。在位于韩国江原道的崎terrain地形中，在10个样地中对这两种算法进行了评估。结果表明，与区域生长方法（平均匹配约60％）相比，所提出的方法对于10种具有一定树密度的地块的性​​能更好（平均匹配约87％）。提出的算法对于稀疏图比稠密图更有效。它在落叶地块（图1和图4）上也很好用。另一方面，区域生长方法产生的精度较低，带有许多合并的牙冠，这需要额外的后处理，例如重新分割步骤。

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