Evaluation of LiDAR-Derived Snow Depth Estimates From the iPhone 12 Pro

Article Multidisciplinary Sciences

Evaluation of the Apple iPhone 12 Pro LiDAR for an Application in Geosciences

Gregor Luetzenburg et al.

Summary: Traditional topographic surveying in earth sciences is costly and complex, but off-the-shelf drones with optical sensors have made it more affordable. Apple's LiDAR sensors can accurately create high-resolution models and offer cost-effective alternatives to established techniques.

SCIENTIFIC REPORTS (2021)

添加到收藏夹

Article Geosciences, Multidisciplinary

Assimilation of citizen science data in snowpack modeling using a new snow data set: Community Snow Observations

Ryan L. Crumley et al.

Summary: A physically based snowpack evolution and redistribution model was used to test the effectiveness of assimilating crowd-sourced snow depth measurements collected by citizen scientists. The study found that even modest measurement efforts by citizen scientists have the potential to improve efforts to model snowpack processes in high mountain environments.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2021)

添加到收藏夹

Article Remote Sensing

Unpiloted Aerial Vehicle Retrieval of Snow Depth Over Freshwater Lake Ice Using Structure From Motion

Grant E. Gunn et al.

Summary: The study uses a quad-copter UAV and SfM principles to retrieve and map snow depth at high resolution on the frozen West Twin Lake in northern Alaska, showcasing drift structures and height deviations. This marks the first retrieval of snow depth on a frozen lake surface from a UAV using photogrammetry, highlighting the potential for high-resolution snow depth retrieval on small ponds and lakes in Arctic environments.

FRONTIERS IN REMOTE SENSING (2021)

添加到收藏夹

Article Geography, Physical