Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements: Uncertainty Analyses

Lidar measurement of snow depth: a review

Laser altimetry (lidar) is a remote-sensing technology that holds tremendous promise for mapping snow depth in snow hydrology and avalanche applications. Recently lidar has seen a dramatic widening of applications in the natural sciences, resulting in technological improvements and an increase in the availability of both airborne and ground-based sensors. Modern sensors allow mapping of vegetat...

Lidar and Multiple Scattering

Independent Evaluation of the SNODAS Snow Depth Product Using Regional Scale Lidar-Derived Measurements

Repeated Light Detection and Ranging (LiDAR) surveys are quickly becoming the de facto method for measuring spatial variability of montane snowpacks at high resolution. This study examines the potential of a 750 km LiDAR-derived dataset of snow depths, collected during the 2007 northern Colorado Cold Lands Processes Experi5 ment (CLPX-2), as a validation source for an operational hydrologic sno...

Uncertainty in multiple penetration depth fringing electric field sensor measurements

Measurement of multilayer material properties with fringing electric field dielectrometry sensors requires the processing of terminal admittance data from multiple electrode pairs. The choice of the algorithmic approach for data analysis is critical because of a high sensitivity to small measurement uncertainties. While individual channel uncertainties are usually within a reasonable instrument...

Lidar Measurement of Snow Depth: Accuracy and Error Sources

Airborne laser altimetry (lidar) is a remote sensing technology that holds tremendous promise for mapping snow depth in snow hydrology and avalanche applications. In recent years lidar has seen a dramatic widening of applications in the natural sciences, resulting in technological improvements and an increase in the availability of sensors. Modern sensors allow recording of multiple pulse retur...