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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Characterizing understory vegetation in Mediterranean forests using full-waveform airborne laser scanning data
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Characterizing understory vegetation in Mediterranean forests using full-waveform airborne laser scanning data

机译:使用全波形空气传播激光扫描数据表征地中海森林中的林下植被

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The use of laser scanning acquired from the air, or ground, holds great potential for the assessment of forest structural attributes, beyond conventional forest inventory. The use of full-waveform airborne laser scanning (ALS(FW)) data allows for the extraction of detailed information in different vertical strata compared to discrete ALS (ALS(D)). Terrestrial laser scanning (TLS) can register lower vertical strata, such as understory vegetation, without issues of canopy occlusion, however is limited in its acquisition over large areas. In this study we examine the ability of ALS(FW) to characterize understory vegetation (i.e. maximum and mean height, cover, and volume), verified using TLS point clouds in a Mediterranean forest in Eastern Spain. We developed nine full-waveform metrics to characterize understory vegetation attributes at two different scales (3.75 m square subplots and circular plots with a radius of 15 m); with, and without, application of a height filter to the data. Four understory vegetation attributes were estimated at plot level with high R-2 values (mean height: R-2 = 0.957, maximum height: R-2 = 0.771, cover: R-2 = 0.871, and volume: R-2 = 0.951). The proportion of explained variance was slightly lower at 3.75 m side cells (mean height: R-2 = 0.633, maximum height: R-2 = 0.470, cover: R-2 = 0.581, and volume R-2 = 0.651). These results indicate that Mediterranean understory vegetation can be estimated and accurately mapped over large areas with ALS(FW). The future use of these types of predictions includes the estimation of ladder fuels, which drive key fire behavior in these ecosystems.
机译:从空气或地面获取的激光扫描的使用具有巨大的森林结构属性,超越常规森林库存的巨大潜力。与离散ALS(ALS(D))相比,使用全波形空气传播激光扫描(ALS(FW))数据允许提取不同垂直层中的详细信息。陆地激光扫描(TLS)可以注册较低的垂直地层,例如林植植被,而没有冠层遮挡问题,但在大面积上的收购中受到限制。在这项研究中,我们研究了ALS(FW)来表征林植植被的能力(即最大和平均高度,覆盖和体积),在西班牙东部地中海森林中使用TLS点云进行验证。我们开发了九个全波形度量标准,以在两个不同的尺度上表征林下植被属性(3.75米方凹槽和半径为15米的圆形图);使用,而且没有,将高度过滤器应用于数据。在具有高R-2值的绘图级别估计四个床骨植被属性(平均高度:R-2 = 0.957,最大高度:R-2 = 0.771,盖子:R-2 = 0.871和体积:R-2 = 0.951 )。在3.75米侧细胞中,解释的差异的比例略低于3.75米(平均高度:R-2 = 0.633,最大高度:R-2 = 0.470,盖子:R-2 = 0.581,和R-2 = 0.651体积)。这些结果表明,在用ALS(FW)的大面积上可以估计和准确地绘制地中海林植植被。未来使用这些类型的预测包括梯形燃料的估计,这在这些生态系统中驱动了密钥火灾行为。

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