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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Using airborne laser scanning to monitor tree migration in the boreal-alpine transition zone
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Using airborne laser scanning to monitor tree migration in the boreal-alpine transition zone

机译:使用机载激光扫描监测北高寒过渡带的树木迁移

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The boreal tree line is expected to advance upwards into the mountains and northwards into the tundra due to global warming. The major objective of this study was to find out if it is possible to use high-resolution airborne laser scanner data to detect very small trees - the pioneers that are pushing the tree line up into the mountains and out onto the tundra. The study was conducted in a sub-alpine/alpine environment in southeast Norway. A total of 342 small trees of Norway spruce, Scots pine, and downy birch with tree heights ranging from 0.11 to 5.20 in were precisely georeferenced and measured in field. Laser data were collected with a pulse density of 7.7 m(-2). Three different terrain models were used to process the airborne laser point cloud in order to assess the effects of different pre-processing parameters on small tree detection. Greater than 91 % of all trees > 1 in tall registered positive laser height values regardless of terrain model. For smaller trees (< 1 m), positive height values were found in 5-73% of the cases, depending on the terrain model considered. For this group of trees, the highest rate of trees with positive height values was found for spruce. The more smoothed the terrain model was, the larger the portion of the trees that had positive laser height values. The accuracy of tree height derived from the laser data indicated a systematic underestimation of true tree height by 0.40 to 1.01 m. The standard deviation for the differences between laser-derived and field-measured tree heights was 0.11-0.73 m Commission errors, i.e., the detection of terrain objects - rocks, hummocks - as trees, increased significantly as terrain smoothing increased. Thus, if no classification of objects into classes like small trees and terrain objects is possible, many non-tree objects with a positive height value cannot be separated from those actually being trees. In a monitoring context, i.e., repeated measurements over time, we argue that most other objects like terrain structures, rocks, and hummocks will remain stable over time while the trees will change as they grow and new trees are established. Thus, this study indicates that, given a high laser pulse density and a certain density of newly established trees, it would be possible to detect a sufficient portion of newly established trees over a 10 years period to claim that tree migration is taking place. Published by Elsevier Inc.
机译:由于全球变暖,预计北方树线将向上延伸到山区,向北进入苔原。这项研究的主要目的是找出是否有可能使用高分辨率的机载激光扫描仪数据来检测非常小的树木-将树木推向山上并进入苔原的先驱。该研究是在挪威东南部的亚高山/高山环境中进行的。总共对342棵挪威云杉,苏格兰松树和柔软的桦木小树进行了精确的地理参考,并在野外进行了测量,这些树的高度范围为0.11到5.20 in。以7.7 m(-2)的脉冲密度收集激光数据。为了评估不同的预处理参数对小树检测的影响,使用了三种不同的地形模型来处理机载激光点云。不论地形模型如何,大于91%的所有树木> 1的高记录正激光高度值。对于较小的树木(<1 m),根据所考虑的地形模型,在5-73%的情况下会发现正高度值。对于这组树木,发现具有最高高度值的云杉树木比例最高。地形模型越平滑,具有正激光高度值的树木部分就越大。从激光数据得出的树高的准确性表明,对真实树高的系统性低估了0.40至1.01 m。激光衍生树和实地测量树高之间的差异的标准偏差为0.11-0.73 m佣金误差,即,随着地形平滑度的提高,作为树木的地形对象(岩石,山岗)的检测量显着增加。因此,如果不可能将对象分类为小树和地形对象之类的类,则不能将具有正高度值的许多非树对象与实际是树木的对象分开。在监控环境中,即随着时间的推移进行重复测量,我们认为大多数其他对象(例如地形结构,岩石和山岗)将随着时间的推移保持稳定,而树木将随着它们的生长和新树木的建立而发生变化。因此,这项研究表明,在高激光脉冲密度和一定密度的新树的情况下,有可能在10年的时间内检测到足够数量的新树以断定正在发生树木迁移。由Elsevier Inc.发布

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