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Vertical Height Errors in Digital Terrain Models Derived from Airborne Laser Scanner Data in a Boreal-Alpine Ecotone in Norway

机译:挪威北方高山交错带机载激光扫描仪数据得出的数字地形模型中的垂直高度误差

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It has been suggested that airborne laser scanning (ALS) could be used for operational monitoring of vegetation changes in the alpine tree line caused by climate change. Because the vegetation is low in such tree-less areas close to the alpine zone, the accuracy of the digital terrain model (DTM) becomes crucial for early detection of, e.g., pioneer trees representing an ongoing tree migration given that the height of the vegetation may be on the same order of magnitude as the DTM uncertainty. The goal of this study was to assess and exemplify the vertical height errors of DTMs derived from ALS data under varying flying altitudes and pulse repetition frequencies (PRF). Important effects in the analysis were local terrain form, terrain surface, ground vegetation height, and terrain slope, because they may be correlated with recruitment patterns of pioneer trees. Based on 426 ground control points collected in a boreal-alpine ecotone, a standard deviation of 0.07–0.08 m was found for the lowest flying altitudes and lowest PRFs. For the highest PRF the standard deviation was 0.13 m. There were statistically significant mean errors for the different terrain forms and ground vegetation heights (−0.11 to 0.13 m).
机译:有人提出,机载激光扫描(ALS)可用于对气候变化引起的高山林线植被变化进行操作监测。由于在靠近高山区域的此类无树地区的植被较少,因此数字地形模型(DTM)的准确性对于早期检测至关重要,例如,鉴于植被的高度,先锋树代表正在进行的树木迁移可能与DTM不确定度处于相同的数量级。这项研究的目的是评估和举例说明在不同的飞行高度和脉冲重复频率(PRF)下从ALS数据得出的DTM的垂直高度误差。分析中的重要影响是局部地形形式,地形表面,地面植被高度和地形坡度,因为它们可能与先锋树的募集方式相关。根据在北高山交错带收集的426个地面控制点,发现最低飞行高度和最低PRF的标准偏差为0.07–0.08 m。对于最高的PRF,标准偏差为0.13 m。对于不同的地形形式和地面植被高度(-0.11至0.13 m),存在统计上显着的平均误差。

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