UAV-borne gamma spectrometry and lidar observations of prairie snow water equivalent

Gamma and lidar observations from a UAV were collected over two seasons from shallow, wind-blown, prairie snowpacks in Saskatchewan, Canada with validation data collected from manual snow depth and density observations. The data included herein includes the snow survey point observations, the gamma spectrometer count rates, and raster’s of snow depth (at 0.25m resolution) and snow water equivalent from combining lidar snow depth and manual snow density observations at 0.25 and 22.5m resolutions, and snow water equivalent directly from gamma observations at 22.5m. This dataset provides the means to test the ability of UAV-gamma spectroscopy to resolve the areal average and spatial variability of snow water equivalent directly. Data processing and analysis is described in the associated submitted manuscript: Harder, P., Helgason, W.D., Pomeroy, J.W. 2023. Measuring prairie snow water equivalent with combined UAV-borne gamma spectrometry and lidar. Submitted to The Cryosphere November 2023.

本数据集采集了加拿大萨斯喀彻温省两处浅表层风吹草原积雪区两个观测季的无人机（UAV）伽马射线与激光雷达（lidar）观测数据，同步配套人工雪深、雪密度观测作为验证数据。本数据集包含雪调查点位观测值、伽马能谱仪（gamma spectrometer）计数率，以及三类栅格（raster）产品：0.25米分辨率的雪深栅格；结合激光雷达雪深与人工雪密度观测得到的0.25米与22.5米分辨率雪水当量（snow water equivalent）栅格；以及22.5米分辨率、直接基于伽马观测得到的雪水当量栅格。本数据集可用于验证无人机载伽马能谱法直接反演雪水当量的面平均特性与空间变异能力。数据处理与分析方法详见已投稿的关联学术论文：Harder, P., Helgason, W.D., Pomeroy, J.W. 2023. Measuring prairie snow water equivalent with combined UAV-borne gamma spectrometry and lidar. Submitted to The Cryosphere November 2023.