Snow quenches our thirst, cools our planet

Publications

Displaying Items 1 - 5 of 5

2023

Bonnell, R. McGrath, D. Hedrick, A. Trujillo, E. Meehan, T.G. Marshall, H.P Sexton, G. Fulton, J. Ronayne, M. Fassnacht, S.R. Webb, R. Hale, K.
(2023). Snowpack relative permittivity and density derived from near-coincident lidar and ground-penetrating radar. Hydrological Processes, 37 (10), https://doi.org/10.1002/hyp.14996.
Hojatimalekshah, A. Gongora, J. Enterkine, J. Glenn, N. Caughlin, T. Marshall, H.P Hiemstra, C.
(2023). Lidar and deep learning reveal forest structural controls on snowpack. Frontiers in Ecology and the Environment. Frontiers in Ecology and the Environment, 21 (1), 49-54. https://doi.org/10.1002/fee.2584.
Tarricone, J. Webb, R. Marshall, H.P Nolin, A. Meyer, F.J.
(2023). Estimating snow accumulation and ablation with L-band interferometric synthetic aperture radar (InSAR). The Cryosphere, 17 (5), 1997-2019. https://doi.org/10.5194/tc-17-1997-2023.

2022

Lund, J. Forster, R. Deeb, E. Liston, G. Skiles, S.M. Marshall, H.P
(2022). Interpreting Sentinel-1 SAR Backscatter Signals of Snowpack Surface Melt/Freeze, Warming, and Ripening, through Field Measurements and Physically-Based SnowModel. Remote Sensing, 14 (16), https://doi.org/10.3390/rs14164002 .
McGrath, D. Bonnell, R. Zeller, L. Olsen-Mikitowicz, A. Bump, E. Webb, R. Marshall, H.P
(2022). A time series of snow density and snow water equivalent observations derived from the integration of GPR and UAV SfM observations. Frontiers in Remote Sensing, 3, https://doi.org/10.3389/frsen.2022.886747.

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