...
首页> 外文期刊>Methods in Ecology and Evolution >Creating vegetation density profiles for a diverse range ofecological habitats using terrestrial laser scanning
【24h】

Creating vegetation density profiles for a diverse range ofecological habitats using terrestrial laser scanning

机译:使用陆地激光扫描为各种生态环境创建植被密度剖面

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

1. Vegetation structure is an important determinant of species habitats and diversity. It is often represented bysimple metrics, such as canopy cover, height and leaf area index, which do not fully capture three-dimensionalvariations in density. Terrestrial laser scanning (TLS) is a technology that can better capture vegetation structure,but methods developed to process scans have been biased towards forestry applications. The aim of this studywas to develop a methodology for processing TLS data to produce vegetation density profiles across a broaderrange of habitats.2. We performed low-resolution and medium-resolution TLS scans using a Leica C5 Scanstation at four locationswithin eight sites near Wollongong, NSW, Australia (3438–3441°S, 15084–15091°E). The raw pointclouds were converted to density profiles using a method that corrected for uneven ground surfaces, varyingpoint density due to beam divergence and occlusion, the non-vertical nature of most beams and for beams thatpassed through gaps in the vegetation without generating a point. Density profiles were evaluated against visualestimates from three independent observers using coarse height classes (e.g. 5–10 m).3. TLS produced density profiles that captured the three-dimensional vegetation structure. Although sites wereselected to differ in structure, each was relatively homogeneous, yet we still found a high spatial variation in densityprofiles. There was also large variation between observers, with the RMS error of the three observers relativeto the TLS varying from 162% to 321%. Part of this error appeared to be due tomisjudging the height of vegetation,which caused an overestimation in one height class and anunderestimationinanother.4. Ourmethod for generating density profiles using TLS can capture three-dimensional vegetation structure in amanner that is more detailed and less subjective than traditionalmethods. The method can be applied to a broadrange of habitats – not just forests with open understoreys. However, it cannot accurately estimate near-surfacevegetation density when there are uneven surfaces or dense vegetation prevents sufficient ground returns. Nonetheless,TLS density profiles will be an important input for research on species habitats, microclimates andnutrient cycles.
机译:1.植被结构是物种栖息地和多样性的重要决定因素。它通常由简单的指标表示,例如树冠覆盖,高度和叶面积指数,这些指标无法完全捕获密度的三维变化。陆地激光扫描(TLS)是一种可以更好地捕获植被结构的技术,但是开发用于处理扫描的方法偏向于林业应用。这项研究的目的是开发一种处理TLS数据的方法,以在更广泛的生境中产生植被密度剖面。2。我们使用Leica C5扫描仪在澳大利亚新南威尔士州卧龙岗市附近的八个地点中的四个位置(3438–3441°S,15084–15091°E)执行了低分辨率和中分辨率TLS扫描。使用以下方法将原始点云转换为密度剖面:校正不平坦的地面,由于束发散和遮挡引起的变化点密度,大多数束的非垂直特性以及穿过植被间隙而没有产生点的束。使用粗略的高度等级(例如5-10 m),根据三个独立观察者的视觉估计值来评估密度剖面。 TLS产生的密度剖面捕获了三维植被结构。尽管选择了不同结构的位点,但每个位点是相对均一的,但是我们仍然发现密度分布的空间变化很大。观察者之间也存在较大差异,三个观察者相对于TLS的RMS误差在162%至321%之间变化。这种错误的部分原因似乎是由于对植被高度的判断错误,导致对一个高度类别的高估而对另一个高度类别的低估。4。我们使用TLS生成密度剖面的方法可以捕获3维植被结构,其方式比传统方法更详细,更主观。该方法可应用于广泛的栖息地-不仅仅是具有开阔的底层的森林。但是,当地面不平坦或植被茂密阻碍了足够的地面返回时,它无法准确估算近地表植被密度。尽管如此,TLS密度分布图将成为研究物种栖息地,微气候和养分循环的重要输入。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号