利用机载激光雷达评估城市森林的健康状况

Andrew A. Plowright, N. Coops, Neal W. Aven
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引用次数: 5

摘要

随着人们对城市森林所提供的环境、心理和社会利益的兴趣日益增加,对监测城市景观内树木状况的准确和具有成本效益的方法的需要变得至关重要。光探测与测距(LiDAR)作为一种有效的测量树木和林分结构的工具在商业林业应用已有十多年的历史,但在城市林业中的应用仍处于起步阶段。在本文中,我们提出了一种在城市环境中从高密度离散返回激光雷达数据中检测和描绘单个树木的方法。为此,该方法利用城市管理者维护的树木清单来克服城市森林所带来的独特挑战,例如本地和外来树种以及年龄等级的广泛范围。利用树木库存数据“播种”自动检测和圈定过程,我们能够检测出一组参考树的88.3%,并且自动圈定的树冠轮廓与参考树冠轮廓之间的平均相似比为0.66,比率为1表示完美匹配。通过精确描绘树冠,可以从激光雷达点云中提取各种树木指标,这些指标可用于创建整个城市树木状况的地图,用于管理和监测活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating the health of urban forests using airborne LiDAR
With increased interest in the environmental, psychological and social benefits provided by urban forests, the need for accurate and cost-effective methods for monitoring tree condition within an urban landscape is becoming critical. Light Detection and Ranging (LiDAR) has been used as an efficient tool for measuring tree and forest stand structure in commercial forestry applications for more than a decade, however its application in urban forestry remains nascent. In this paper, we present an approach to detect and delineate individual trees from high density discrete return LiDAR data in an urban context. To do so, the approach exploits tree inventories maintained by city managers to overcome the unique challenges presented by an urban forest, such as a broad range of tree species both native and exotic and age classes. Using tree inventory data to “seed” automated detection and delineation processes, we are able to detect 88.3% of a set of reference trees, and achieve an average similarity ratio of 0.66 between the automatically-delineated and reference crown outlines, with a ratio of 1 indicating a perfect match. By accurately delineating tree crowns, various tree metrics can be extracted from the LiDAR point cloud, which can be used to create maps of tree condition across the city for use in management and monitoring activities.
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