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Snow quenches our thirst, cools our planet
2024
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Bonnell, R.
,
McGrath, D.
,
Tarricone, J.
,
P. Marshall, H.
,
Bump, E.
,
Duncan, C.
,
Kampf, S.
,
Lou, Y.
,
Olsen-Mikitowicz, A.
,
Sears, M.
,
Williams, K.
,
Zeller, L.
,
Zheng, Y.
(2024).
Evaluating L-band InSAR snow water equivalent retrievals with repeat ground-penetrating radar and terrestrial lidar surveys in northern Colorado.
The Cryosphere,
18
(8),
3765-3785.
https://doi.org/10.5194/tc-18-3765-2024.
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Brangers, I.
,
P. Marshall, H.
,
De Lannoy, G.
,
Dunmire, D.
,
Mätzler, C.
,
Lievens, H.
(2024).
Tower-based C-band radar measurements of an alpine snowpack.
The Cryosphere,
18
(7),
3177-3193.
https://doi.org/10.5194/tc-18-3177-2024.
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(2024).
Snow Depth Extraction From Time‐Lapse Imagery Using a Keypoint Deep Learning Model.
Water Resources Research,
60
(7),
https://doi.org/10.1029/2023WR036682.
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Hoppinen, Z.
,
Palomaki, R.
,
Brencher, G.
,
Dunmire, D.
,
Gagliano, E.
,
Marziliano, A.
,
Tarricone, J.
,
Marshall, H.P
(2024).
Evaluating snow depth retrievals from Sentinel-1 volume scattering over NASA SnowEx sites.
The Cryosphere,
18
(11),
5407-5430.
https://doi.org/10.5194/tc-18-5407-2024.
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Hoppinen, Z.
,
Oveisgharan, S.
,
P. Marshall, H.
,
Mower, R.
,
Elder, K.
,
Vuyovich, C.
(2024).
Snow Water Equivalent Retrieval Over Idaho, Part B: Using L-band UAVSAR Repeat-Pass Interferometry.
The Cryosphere,
18
(2),
575-592.
https://doi.org/10.5194/tc-18-575-2024.
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Meehan, T.G.
,
Hojatimalekshah, A.
,
Marshall, H.P.
,
Deeb, E.
,
O'Neel, S.
,
McGrath, D.
,
Webb, R.
,
Bonnell, R.
,
Raleigh, M.
,
Hiemstra, C.
,
Elder, K.
(2024).
Spatially distributed snow depth, bulk density, and snow water equivalent from ground-based and airborne sensor integration at Grand Mesa, Colorado, USA.
The Cryosphere,
18,
3253-3276.
https://doi.org/10.5194/tc-18-3253-2024.
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(2024).
Snow water equivalent retrieval over Idaho – Part 1: Using Sentinel-1 repeat-pass interferometry.
The Cryosphere,
559-574.
https://doi.org/10.5194/tc-18-559-2024.
-
(2024).
Thermal infrared shadow-hiding in GOES-R ABI imagery: snow and forest temperature observations from the SnowEx 2020 Grand Mesa field campaign.
The Cryosphere,
18,
2257-2276.
https://doi.org/10.5194/tc-18-2257-2024.
-
(2024).
Bayesian physical–statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic aperture radar – demonstration using airborne SnowSAr in SnowEx’17.
The Cryosphere,
18,
747-773.
https://doi.org/10.5194/tc-18-747-2024.
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(2024).
Snowpack Strength and Micromechanics on Grand Mesa, Colorado, via the 2017 NASA SnowEx SnowMicroPen Dataset.
Cold Regions Engineering 2024,
Article Sustainable and Resilient Engineering Solutions for Changing Cold Regions.
https://doi.org/10.1061/9780784485460.035.
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Wilder, B.
,
Lee, C.
,
Chlus, A.
,
Marshall, H.P.
,
Brandt, J.
,
Kinoshita, A.
(2024).
Computationally Efficient Retrieval of Snow Surface Properties From Spaceborne Imaging Spectroscopy Measurements Through Dimensionality Reduction Using k-Means Spectral Clustering.
IEEE,
17,
8594-8605.
10.1109/JSTARS.2024.3386834.
-
(2024).
Evaluating cosmic ray neutron sensor estimates of snow water equivalent in a prairie environment using UAV lidar.
Water Resources Research,
60
(6),
https://doi.org/10.1029/2024WR037164.
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Xu, Haokui
,
Tsang, L.
,
Xu, X.
,
Margulis, S.A.
,
Yueh, S.
,
Shah, R.
(2024).
Bistatic Rough Surface Scattering at P-Band in Grand Mesa Based on Lidar Observations of Surface Roughness and Topography.
IEEE ,
17,
35-44.
Article Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
https://doi.org/10.1109/JSTARS.2023.3324217.
2023
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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.
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(2023).
SWE Retrieval Algorithms Based on the Parameterized BI-Continuous DMRT Model Without Priors on Grain Size OR Scattering Albedo.
Progress In Electromagnetics Research,
178,
129-147.
http://dx.doi.org/10.2528/PIER23071101.
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(2023).
Evaluating the utility of active microwave observations as a snow mission concept using observing system simulation experiments.
The Cryosphere,
17
(9),
3915-3931.
https://doi.org/10.5194/tc-17-3915-2023.
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Gao, S.
,
Li, Z.
,
Zhang, P.
,
Chen, Q.
,
Huang, L.
,
Zhou, J.
,
Zhao, C.
,
Qiao, H.
,
Zheng, Z.
(2023).
A novel global snow depth retrieval method considering snow metamorphism and forest influence.
Remote Sensing of Environment,
295,
https://doi.org/10.1016/j.rse.2023.113712.
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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.
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(2023).
Six consecutive seasons of high-resolution mountain snow depth maps from satellite stereo imagery.
Geophysical Research Letters,
50
(24),
https://doi.org/10.1029/2023GL104871.
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McGrath, D.
,
Zeller, L.
,
Bonnell, R.
,
Reis, W.
,
Kampf, S.
,
Williams, K.
(2023).
Declines in peak snow water equivalent and elevated snowmelt rates following the 2020 Cameron Peak wildfire in Northern Colorado.
Geophysical Research Letters,
50
(6),
https://doi.org/10.1029/2022GL101294.
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(2023).
Assessment of L-band InSAR snow estimation techniques over a shallow, heterogeneous prairie snowpack.
Remote Sensing of Environment,
296,
https://doi.org/10.1016/j.rse.2023.113744.
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(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
-
(2022).
A western United States snow reanalysis dataset over the Landsat era from water years 1985 to 2021.
Scientific Data,
9
(1),
1-17.
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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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(2022).
A Novel Machine Learning–Based Gap-Filling of Fine-Resolution Remotely Sensed Snow Cover Fraction Data by Combining Downscaling and Regression.
Journal of Hydrometeorology,
23
(5),
637-658.