Snow depth mapping with an Unmanned Aerial Vehicles in heterogeneous mountain site (Izas Catchment, Pyrenees)

Recent developments in unmanned aircraft vehicles (UAV) and Structure for Motion (SfM photogrammetry or simply SfM) algorithms have proved their worth for determining snow depth distribution. This dataset presents UAV and Terrestrial Laser Scanner (TLS) snow depth obsrevations obtained in complex alpine terrain in the Pyrenees. UAV observations have been acqired with a fixed-wing UAV working in RTK mode with an RGB camera. During the 2018-19 season, seven field campaigns (13 UAV flights) were undertaken covering 0.48 km2 . Several UAV observations were obtained under different light conditions and flight block configurations (altitude and image overlaps) in the same day with the aim if evaluating UAV observations when compared ti a well-established close range remote sensing technique (TLS).近年来，无人机（unmanned aircraft vehicles, UAV）与运动恢复结构（Structure for Motion，SfM摄影测量，简称SfM）算法的最新研究进展，已在积雪深度分布测定领域展现出显著的应用价值。本数据集收录了在比利牛斯山脉复杂高山地形中获取的无人机与地面激光扫描仪（Terrestrial Laser Scanner, TLS）积雪深度观测数据。本次无人机观测采用搭载RGB相机的固定翼无人机，以RTK模式完成作业。在2018-2019雪季期间，研究团队共开展7次野外作业，含13架次无人机飞行，覆盖面积达0.48平方千米。部分无人机观测于单日内在不同光照条件与飞行区块配置（飞行高度与影像重叠度）下获取，旨在通过与成熟的近距离遥感技术（TLS）对比，对无人机观测结果进行评估。