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首页> 外文期刊>Photogrammetric Engineering & Remote Sensing: Journal of the American Society of Photogrammetry >Mapping Snowpack Depth beneath Forest Canopies Using Airborne Lidar
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Mapping Snowpack Depth beneath Forest Canopies Using Airborne Lidar

机译：使用机载激光雷达在森林冠层下绘制积雪深度

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摘要

An evaluation of airborne lidar (Light Detection And Ranging) technology for snow depth mapping beneath different forest canopy covers (deciduous, coniferous, and mixed) is presented. Airborne lidar data were collected for a forested study site both prior to and during peak snowpack accumulation. Manual field measurements of snow depth were collected coincident with the peak snowpack lidar survey, and a comparison between field and lidar depth estimates was made. It was found that (1) snow depth distribution patterns can be mapped by subtracting a "bare-earth " DEM from a "peak snowpack" DEM, (2) snow depth estimates derived from lidar data are strongly related to manual field measures of snow depth, and (3) snow depth estimates are most accurate in areas of minimal understory. It has been demonstrated that airborne lidar data provide accurate snow depth data for the purpose of mapping spatial snowpack distribution for volume estimations, even under forest canopy conditions.
机译：提出了一种机载激光雷达（光探测和测距）技术的评估方法，该技术可用于不同林冠层（落叶，针叶和混合）下积雪深度的绘制。在积雪堆积高峰之前和期间，收集了一个森林研究地点的机载激光雷达数据。收集了与峰值积雪激光雷达测量同时进行的人工雪深实地测量，并进行了野外和激光雷达深度估计之间的比较。已经发现，（1）可以通过从“峰值积雪” DEM中减去“裸露” DEM来映射积雪深度分布模式，（2）从激光雷达数据得出的积雪深度估计与人工积雪实地测量密切相关深度，以及（3）积雪量最少的地区最准确。事实证明，即使在森林冠层条件下，机载激光雷达数据也可提供准确的积雪深度数据，以绘制空间积雪分布以进行体积估算。

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