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Airborne Laser Scanning of Forest Stem Volume in a Mountainous Environment

机译:在山区环境中对森林茎干量进行机载激光扫描

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摘要

Airborne laser scanning (ALS) is an active remote sensing technique that uses the time-of-flight measurement principle to capture the three-dimensional structure of the earth's surface with pulsed lasers that transmit nanosecond-long laser pulses with a high pulse repetition frequency. Over forested areas most of the laser pulses are reflected by the leaves and branches of the trees, but a certain fraction of the laser pulses reaches the forest floor through small gaps in the canopy. Thus it is possible to reconstruct both the three-dimensional structure of the forest canopy and the terrain surface. For the retrieval of quantitative forest parameters such as stem volume or biomass it is necessary to use models that combine ALS with inventory data. One approach is to use multiplicative regression models that are trained with local inventory data. This method has been widely applied over boreal forest regions, but so far little experience exists with applying this method for mapping alpine forest. In this study the transferability of this approach to a 128 km2 large mountainous region in Vorarlberg, Austria, was evaluated. For the calibration of the model, inventory data as operationally collected by Austrian foresters were used. Despite these inventory data are based on variable sample plot sizes, they could be used for mapping stem volume for the entire alpine study area. The coefficient of determination R2 was 0.85 and the root mean square error (RMSE) 90.9 m3ha−1 (relative error of 21.4%) which is comparable to results of ALS studies conducted over topographically less complex environments. Due to the increasing availability, ALS data could become an operational part of Austrian's forest inventories.
机译:机载激光扫描(ALS)是一种主动遥感技术,它采用飞行时间测量原理,通过脉冲激光器捕获具有高脉冲重复频率的纳秒级激光脉冲的地球表面的三维结构。在森林区域,大多数激光脉冲被树木的叶子和树枝反射,但是一定比例的激光脉冲通过树冠上的小间隙到达林底。因此,可以重建森林冠层的三维结构和地形表面。为了检索定量的森林参数(例如茎量或生物量),必须使用将ALS与清单数据结合在一起的模型。一种方法是使用经过本地库存数据训练的乘法回归模型。该方法已广泛应用于北方森林地区,但到目前为止,将这种方法用于高山森林地图绘制的经验很少。在这项研究中,评估了该方法在奥地利福拉尔贝格州128 km 2 大山区的可转移性。为了对模型进行校准,使用了奥地利林务员实际收集的清单数据。尽管这些清单数据基于可变的样地大小,但它们仍可用于绘制整个高山研究区域的茎量。测定系数R 2 为0.85,均方根误差(RMSE)为90.9 m 3 ha -1 (相对误差为21.4% ),这与在地形不太复杂的环境中进行的ALS研究结果相当。由于可用性的提高,ALS数据可能会成为奥地利森林清单的可操作部分。

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