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首页> 外文期刊>Forest Ecology and Management >Airborne laser scanning in forest management: Individual tree identification and laser pulse penetration in a stand with different levels of thinning
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Airborne laser scanning in forest management: Individual tree identification and laser pulse penetration in a stand with different levels of thinning

机译:森林管理中的机载激光扫描:在具有不同间伐水平的林分中,个体树木识别和激光脉冲穿透

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摘要

This study examined the ability of an airborne laser scanner to identify individual trees in the canopy of a Chamaecyparis obtusa stand and investigated the relationship between the penetration rate of the laser pulses and stand attributes under different canopy conditions caused by different levels of thinning. Individual tree crowns were identified from a digital canopy model (DCM) derived from airborne laser scanner data by the watershed segmentation method. The identification rate of individual trees in blocks with heavy thinning (ratio of the basal area of the felled trees to the total basal area, hereinafter thinning ratio of the basal area, 38.0%), moderate thinning (30.4%), and no thinning was 95.3%, 89.2%, and 60.0%, respectively. Individual tree heights were estimated from the DCM values by local maximum filtering within identified individual crowns. Tree height in the three blocks was estimated with a root-mean-square error of 0.95, 0.65, and 0.68m, respectively. Tree heights determined in a field survey were regressed against those estimated from the DCM, yielding coefficients of determination (r po) of 0.71, 0.87, and 0.85, respectively, for the blocks with heavy thinning, moderate thinning, and no thinning, respectively, and 0.86 overall. The respective penetration rates of the laser pulses through the canopy to the ground were 50.6%, 43.1%, and 9.2%. Regression of the laser pulse penetration rate against the thinning ratio of the basal area and against the total basal area of the remaining trees in 25 quadrats established in the blocks, yielded r po values of 0.89 and 0.74, respectively.
机译:这项研究检查了机载激光扫描仪识别Chamaecyparis obtusa林分冠层中单个树木的能力,并研究了在不同冠层条件下由不同程度的间伐引起的激光脉冲穿透率与林分属性之间的关系。通过分水岭分割法,从机载激光扫描仪数据得出的数字树冠模型(DCM)中识别出单个树冠。粗疏地块中单个树木的识别率(砍伐树木的基础面积与总基础面积之比,以下为基础面积的稀疏率,为38.0%),中度稀疏(30.4%),未稀疏分别为95.3%,89.2%和60.0%。通过在识别出的单个树冠内进行局部最大滤波,从DCM值估计单个树的高度。估计这三个区块的树高分别具有0.95、0.65和0.68m的均方根误差。将实地调查确定的树高与DCM估计的树高进行回归分析,对于重度稀疏,中度稀疏和不稀疏的区块,确定系数(r po)分别为0.71、0.87和0.85,和整体0.86。激光脉冲穿过树冠到达地面的穿透率分别为50.6%,43.1%和9.2%。在块中建立的25个正方形中,激光脉冲穿透率相对于基础区域的稀疏率和其余树木的总基础区域的回归,得出的r po值分别为0.89和0.74。

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