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首页> 外文期刊>Geosciences >Glacier Snowline Determination from Terrestrial Laser Scanning Intensity Data
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Glacier Snowline Determination from Terrestrial Laser Scanning Intensity Data

机译：根据地面激光扫描强度数据确定冰川雪线

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Accurately identifying the extent of surface snow cover on glaciers is important for extrapolating end of year mass balance measurements, constraining the glacier surface radiative energy balance and evaluating model simulations of snow cover. Here, we use auxiliary information from Riegl VZ-6000 Terrestrial Laser Scanner (TLS) return signals to accurately map the snow cover over a glacier throughout an ablation season. Three classification systems were compared, and we find that supervised classification based on TLS signal intensity alone is outperformed by a rule-based classification employing intensity, surface roughness and an associated optical image, which achieves classification accuracy of 68–100%. The TLS intensity signal shows no meaningful relationship with surface or bulk snow density. Finally, we have also compared our Snow Line Altitude (SLA) derived from TLS with SLA derived from the model output, as well as one Landsat image. The results of the model output track the SLA from TLS well, however with a positive bias. In contrast, automatic Landsat-derived SLA slightly underestimates the SLA from TLS. To conclude, we demonstrate that the snow cover extent can be mapped successfully using TLS, although the snow mass remains elusive.
机译：准确识别冰川表面积雪的程度对于推断年末质量平衡测量，限制冰川表面辐射能量平衡以及评估积雪的模型模拟非常重要。在这里，我们使用来自Riegl VZ-6000陆地激光扫描仪（TLS）返回信号的辅助信息来在整个消融季节中准确绘制冰川上的积雪。比较了三种分类系统，我们发现仅基于TLS信号强度的监督分类优于基于规则的分类，该分类采用强度，表面粗糙度和相关的光学图像，分类精度达到68-100％。 TLS强度信号与表面或大雪密度没有明显关系。最后，我们还将来自TLS的Snow Line Altitude（SLA）与来自模型输出的SLA以及一张Landsat图像进行了比较。模型输出的结果很好地跟踪了TLS中的SLA，但是存在正偏差。相比之下，自动Landsat派生的SLA从TLS中低估了SLA。总而言之，我们证明，尽管积雪仍然难以捉摸，但可以使用TLS成功映射积雪范围。

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